diff --git a/packages/esql_knowledge_base/LICENSE.txt b/packages/esql_knowledge_base/LICENSE.txt
new file mode 100644
index 00000000000..809108b857f
--- /dev/null
+++ b/packages/esql_knowledge_base/LICENSE.txt
@@ -0,0 +1,93 @@
+Elastic License 2.0
+
+URL: https://www.elastic.co/licensing/elastic-license
+
+## Acceptance
+
+By using the software, you agree to all of the terms and conditions below.
+
+## Copyright License
+
+The licensor grants you a non-exclusive, royalty-free, worldwide,
+non-sublicensable, non-transferable license to use, copy, distribute, make
+available, and prepare derivative works of the software, in each case subject to
+the limitations and conditions below.
+
+## Limitations
+
+You may not provide the software to third parties as a hosted or managed
+service, where the service provides users with access to any substantial set of
+the features or functionality of the software.
+
+You may not move, change, disable, or circumvent the license key functionality
+in the software, and you may not remove or obscure any functionality in the
+software that is protected by the license key.
+
+You may not alter, remove, or obscure any licensing, copyright, or other notices
+of the licensor in the software. Any use of the licensor’s trademarks is subject
+to applicable law.
+
+## Patents
+
+The licensor grants you a license, under any patent claims the licensor can
+license, or becomes able to license, to make, have made, use, sell, offer for
+sale, import and have imported the software, in each case subject to the
+limitations and conditions in this license. This license does not cover any
+patent claims that you cause to be infringed by modifications or additions to
+the software. If you or your company make any written claim that the software
+infringes or contributes to infringement of any patent, your patent license for
+the software granted under these terms ends immediately. If your company makes
+such a claim, your patent license ends immediately for work on behalf of your
+company.
+
+## Notices
+
+You must ensure that anyone who gets a copy of any part of the software from you
+also gets a copy of these terms.
+
+If you modify the software, you must include in any modified copies of the
+software prominent notices stating that you have modified the software.
+
+## No Other Rights
+
+These terms do not imply any licenses other than those expressly granted in
+these terms.
+
+## Termination
+
+If you use the software in violation of these terms, such use is not licensed,
+and your licenses will automatically terminate. If the licensor provides you
+with a notice of your violation, and you cease all violation of this license no
+later than 30 days after you receive that notice, your licenses will be
+reinstated retroactively. However, if you violate these terms after such
+reinstatement, any additional violation of these terms will cause your licenses
+to terminate automatically and permanently.
+
+## No Liability
+
+*As far as the law allows, the software comes as is, without any warranty or
+condition, and the licensor will not be liable to you for any damages arising
+out of these terms or the use or nature of the software, under any kind of
+legal claim.*
+
+## Definitions
+
+The **licensor** is the entity offering these terms, and the **software** is the
+software the licensor makes available under these terms, including any portion
+of it.
+
+**you** refers to the individual or entity agreeing to these terms.
+
+**your company** is any legal entity, sole proprietorship, or other kind of
+organization that you work for, plus all organizations that have control over,
+are under the control of, or are under common control with that
+organization. **control** means ownership of substantially all the assets of an
+entity, or the power to direct its management and policies by vote, contract, or
+otherwise. Control can be direct or indirect.
+
+**your licenses** are all the licenses granted to you for the software under
+these terms.
+
+**use** means anything you do with the software requiring one of your licenses.
+
+**trademark** means trademarks, service marks, and similar rights.
diff --git a/packages/esql_knowledge_base/changelog.yml b/packages/esql_knowledge_base/changelog.yml
new file mode 100644
index 00000000000..bb0320a5243
--- /dev/null
+++ b/packages/esql_knowledge_base/changelog.yml
@@ -0,0 +1,6 @@
+# newer versions go on top
+- version: "0.0.1"
+ changes:
+ - description: Initial draft of the package
+ type: enhancement
+ link: https://github.com/elastic/integrations/pull/1 # FIXME Replace with the real PR link
diff --git a/packages/esql_knowledge_base/data_stream/esql_knowledge_base/agent/stream/stream.yml.hbs b/packages/esql_knowledge_base/data_stream/esql_knowledge_base/agent/stream/stream.yml.hbs
new file mode 100644
index 00000000000..5845510de80
--- /dev/null
+++ b/packages/esql_knowledge_base/data_stream/esql_knowledge_base/agent/stream/stream.yml.hbs
@@ -0,0 +1,7 @@
+paths:
+{{#each paths as |path i|}}
+ - {{path}}
+{{/each}}
+exclude_files: [".gz$"]
+processors:
+ - add_locale: ~
diff --git a/packages/esql_knowledge_base/data_stream/esql_knowledge_base/documents/esql-kb-docs.json b/packages/esql_knowledge_base/data_stream/esql_knowledge_base/documents/esql-kb-docs.json
new file mode 100644
index 00000000000..c11ec92e4fa
--- /dev/null
+++ b/packages/esql_knowledge_base/data_stream/esql_knowledge_base/documents/esql-kb-docs.json
@@ -0,0 +1,34334 @@
+[
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "6fcb4f88-fa15-4168-a9de-835320db4646",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/esql_commands.asciidoc"
+ },
+ "vector": {
+ "tokens": {
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+ "import": 0.005064753,
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+ "cad": 0.7525045,
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+ "show": 0.43683806,
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+ "interface": 0.654158,
+ "title": 0.2055217,
+ "remove": 0.5020958,
+ "sid": 0.6481251,
+ "sql": 0.34380752,
+ "button": 0.13206421,
+ "eva": 1.2276589,
+ "apple": 0.018387692,
+ "database": 0.5058259,
+ "compiled": 0.021716889,
+ "undo": 0.01926883,
+ "##ci": 1.4353987,
+ "sheet": 0.018458731,
+ "row": 0.79889625,
+ "##lib": 0.2081834,
+ "david": 0.1821692,
+ "class": 0.5483126,
+ "##rich": 1.1477475,
+ "keyboard": 0.17519747,
+ "process": 0.85921454,
+ "center": 0.9280788,
+ "start": 0.049633764,
+ "control": 0.27269056,
+ "gr": 0.7839993,
+ "rows": 0.5376482,
+ "command": 1.6596491,
+ "editing": 0.3466968,
+ "scribe": 5.3081725E-4,
+ "processed": 0.54848117,
+ "modify": 0.120689526,
+ "print": 0.04462628,
+ "serial": 0.3962603,
+ "syntax": 0.6847405,
+ "pub": 0.079319306
+ },
+ "is_truncated": true,
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-commands]]\n=== {esql} commands\n\n++++\nCommands\n++++\n\n// tag::source_commands[]\n==== Source commands\n\nAn {esql} source command produces a table, typically with data from {es}. An {esql} query must start with a source command.\n\nimage::images/esql/source-command.svg[A source command producing a table from {es},align=\"center\"]\n\n{esql} supports these source commands:\n\n* <>\n* <>\n* <>\n\n// end::source_command[]\n\n// tag::proc_commands[]\n==== Processing commands\n\n{esql} processing commands change an input table by adding, removing, or changing\nrows and columns.\n\nimage::images/esql/processing-command.svg[A processing command changing an input table,align=\"center\"]\n\n{esql} supports these processing commands:\n\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n\n// end::proc_command[]\n\ninclude::source-commands/from.asciidoc[]\ninclude::source-commands/row.asciidoc[]\ninclude::source-commands/show.asciidoc[]\n\ninclude::processing-commands/dissect.asciidoc[]\ninclude::processing-commands/drop.asciidoc[]\ninclude::processing-commands/enrich.asciidoc[]\ninclude::processing-commands/eval.asciidoc[]\ninclude::processing-commands/grok.asciidoc[]\ninclude::processing-commands/keep.asciidoc[]\ninclude::processing-commands/limit.asciidoc[]\ninclude::processing-commands/mv_expand.asciidoc[]\ninclude::processing-commands/rename.asciidoc[]\ninclude::processing-commands/sort.asciidoc[]\ninclude::processing-commands/stats.asciidoc[]\ninclude::processing-commands/where.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "eedc2aac-cc70-4682-a7f1-4d2b4803fa5a",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/esql_enrich_data.asciidoc"
+ },
+ "vector": {
+ "tokens": {
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+ },
+ "is_truncated": true,
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-enrich-data]]\n=== Enrich data\n\n++++\nEnrich data\n++++\n\nYou can use {esql}'s <> processing command to enrich a table with\ndata from indices in {es}.\n\nFor example, you can use `ENRICH` to:\n\n* Identify web services or vendors based on known IP addresses\n* Add product information to retail orders based on product IDs\n* Supplement contact information based on an email address\n\n[[esql-how-enrich-works]]\n==== How the `ENRICH` command works\n\nThe `ENRICH` command adds new columns to a table, with data from {es} indices.\nIt requires a few special components:\n\nimage::images/esql/esql-enrich.png[align=\"center\"]\n\n[[esql-enrich-policy]]\nEnrich policy::\n+\n--\nA set of configuration options used to add the right enrich data to the input\ntable.\n\nAn enrich policy contains:\n\ninclude::../ingest/enrich.asciidoc[tag=enrich-policy-fields]\n\nAfter <>, it must be\n<> before it can be used. Executing an\nenrich policy uses data from the policy's source indices to create a streamlined\nsystem index called the _enrich index_. The `ENRICH` command uses this index to\nmatch and enrich an input table.\n--\n\n[[esql-source-index]]\nSource index::\nAn index which stores enrich data that the `ENRICH` command can add to input\ntables. You can create and manage these indices just like a regular {es} index.\nYou can use multiple source indices in an enrich policy. You also can use the\nsame source index in multiple enrich policies.\n\n[[esql-enrich-index]]\nEnrich index::\n+\n--\nA special system index tied to a specific enrich policy.\n\nDirectly matching rows from input tables to documents in source indices could be\nslow and resource intensive. To speed things up, the `ENRICH` command uses an\nenrich index.\n\ninclude::../ingest/enrich.asciidoc[tag=enrich-index]\n--\n\n[[esql-set-up-enrich-policy]]\n==== Set up an enrich policy\n\nTo start using `ENRICH`, follow these steps:\n\n. Check the <>.\n. <>.\n. <>.\n. <>.\n. <>\n\nOnce you have enrich policies set up, you can <> and <>.\n\n[IMPORTANT]\n====\nThe `ENRICH` command performs several operations and may impact the speed of\nyour query.\n====\n\n[[esql-enrich-prereqs]]\n==== Prerequisites\n\ninclude::{es-repo-dir}/ingest/apis/enrich/put-enrich-policy.asciidoc[tag=enrich-policy-api-prereqs]\n\n[[esql-create-enrich-source-index]]\n==== Add enrich data\n\ninclude::../ingest/enrich.asciidoc[tag=create-enrich-source-index]\n\n[[esql-create-enrich-policy]]\n==== Create an enrich policy\n\ninclude::../ingest/enrich.asciidoc[tag=create-enrich-policy]\n\n[[esql-execute-enrich-policy]]\n==== Execute the enrich policy\n\ninclude::../ingest/enrich.asciidoc[tag=execute-enrich-policy1]\n\nimage::images/esql/esql-enrich-policy.png[align=\"center\"]\n\ninclude::../ingest/enrich.asciidoc[tag=execute-enrich-policy2]\n\n[[esql-use-enrich]]\n==== Use the enrich policy\n\nAfter the policy has been executed, you can use the <> to enrich your data.\n\nimage::images/esql/esql-enrich-command.png[align=\"center\",width=50%]\n\ninclude::processing-commands/enrich.asciidoc[tag=examples]\n\n[[esql-update-enrich-data]]\n==== Update an enrich index\n\ninclude::{es-repo-dir}/ingest/apis/enrich/execute-enrich-policy.asciidoc[tag=update-enrich-index]\n\n[[esql-update-enrich-policies]]\n==== Update an enrich policy\n\ninclude::../ingest/enrich.asciidoc[tag=update-enrich-policy]\n"
+ }
+ },
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+ "count": 0.6592812,
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+ "cid": 0.74958414,
+ "largest": 0.26628712,
+ "code": 0.29695517,
+ "import": 0.14816837,
+ "string": 0.010264937,
+ "cad": 0.3645404,
+ "title": 0.99993604,
+ "interface": 0.4768988,
+ "india": 0.22586773,
+ "sid": 0.5915578,
+ "sql": 0.2270345,
+ "eva": 0.978701,
+ "apple": 0.16100074,
+ "database": 0.40157148,
+ "floors": 0.6584193,
+ "para": 0.2512025,
+ "array": 0.2264981,
+ "now": 0.06528853,
+ "end": 0.09129292,
+ "row": 1.2627915,
+ "floor": 0.98491085,
+ "class": 0.7062949,
+ "greatest": 0.871773,
+ "##du": 0.16479109,
+ "length": 0.9958873,
+ "match": 0.77134234,
+ "##un": 0.7035221,
+ "automatic": 0.053438228,
+ "rows": 0.54031897,
+ "serial": 0.37363783,
+ "pi": 0.8263769,
+ "syntax": 0.46540308,
+ "pub": 0.49256703
+ },
+ "is_truncated": true,
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-functions]]\n== {esql} functions\n\n++++\nFunctions\n++++\n\n<>, <> and <> support\nthese functions:\n\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n\ninclude::functions/abs.asciidoc[]\ninclude::functions/acos.asciidoc[]\ninclude::functions/asin.asciidoc[]\ninclude::functions/atan.asciidoc[]\ninclude::functions/atan2.asciidoc[]\ninclude::functions/auto_bucket.asciidoc[]\ninclude::functions/case.asciidoc[]\ninclude::functions/ceil.asciidoc[]\ninclude::functions/cidr_match.asciidoc[]\ninclude::functions/coalesce.asciidoc[]\ninclude::functions/concat.asciidoc[]\ninclude::functions/cos.asciidoc[]\ninclude::functions/cosh.asciidoc[]\ninclude::functions/date_extract.asciidoc[]\ninclude::functions/date_format.asciidoc[]\ninclude::functions/date_parse.asciidoc[]\ninclude::functions/date_trunc.asciidoc[]\ninclude::functions/e.asciidoc[]\ninclude::functions/ends_with.asciidoc[]\ninclude::functions/floor.asciidoc[]\ninclude::functions/greatest.asciidoc[]\ninclude::functions/is_finite.asciidoc[]\ninclude::functions/is_infinite.asciidoc[]\ninclude::functions/is_nan.asciidoc[]\ninclude::functions/least.asciidoc[]\ninclude::functions/left.asciidoc[]\ninclude::functions/length.asciidoc[]\ninclude::functions/log10.asciidoc[]\ninclude::functions/ltrim.asciidoc[]\ninclude::functions/mv_avg.asciidoc[]\ninclude::functions/mv_concat.asciidoc[]\ninclude::functions/mv_count.asciidoc[]\ninclude::functions/mv_dedupe.asciidoc[]\ninclude::functions/mv_max.asciidoc[]\ninclude::functions/mv_median.asciidoc[]\ninclude::functions/mv_min.asciidoc[]\ninclude::functions/mv_sum.asciidoc[]\ninclude::functions/now.asciidoc[]\ninclude::functions/pi.asciidoc[]\ninclude::functions/pow.asciidoc[]\ninclude::functions/replace.asciidoc[]\ninclude::functions/right.asciidoc[]\ninclude::functions/round.asciidoc[]\ninclude::functions/rtrim.asciidoc[]\ninclude::functions/sin.asciidoc[]\ninclude::functions/sinh.asciidoc[]\ninclude::functions/split.asciidoc[]\ninclude::functions/sqrt.asciidoc[]\ninclude::functions/starts_with.asciidoc[]\ninclude::functions/substring.asciidoc[]\ninclude::functions/tan.asciidoc[]\ninclude::functions/tanh.asciidoc[]\ninclude::functions/tau.asciidoc[]\ninclude::functions/to_boolean.asciidoc[]\ninclude::functions/to_datetime.asciidoc[]\ninclude::functions/to_degrees.asciidoc[]\ninclude::functions/to_double.asciidoc[]\ninclude::functions/to_integer.asciidoc[]\ninclude::functions/to_ip.asciidoc[]\ninclude::functions/to_long.asciidoc[]\ninclude::functions/to_radians.asciidoc[]\ninclude::functions/to_string.asciidoc[]\ninclude::functions/to_unsigned_long.asciidoc[]\ninclude::functions/to_version.asciidoc[]\ninclude::functions/trim.asciidoc[]\n"
+ }
+ },
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+ "sid": 0.3955828,
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+ "timer": 0.16886361,
+ "database": 0.35452023,
+ "operations": 0.20253508,
+ "para": 0.6460872,
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+ "and": 0.32901958,
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+ "david": 0.33442074,
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+ "included": 0.14965385,
+ "conversion": 0.94467527,
+ "cipher": 0.05912252,
+ "op": 0.9527987,
+ "keyboard": 0.37650454,
+ "types": 0.49826187,
+ "equation": 0.20723999,
+ "length": 0.24164298,
+ "command": 0.32522482,
+ "serial": 0.40844652,
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+ "time": 0.9020389,
+ "##do": 0.051938076,
+ "category": 0.7469219,
+ "pub": 0.49294007,
+ "comprehensive": 1.2181896
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-functions-operators]]\n=== {esql} functions and operators\n\n++++\nFunctions and operators\n++++\n\n{esql} provides a comprehensive set of functions and operators for working with data.\nThe functions are divided into the following categories:\n\n[[esql-functions]]\n<>::\ninclude::functions/aggregation-functions.asciidoc[tag=agg_list]\n\n<>::\ninclude::functions/math-functions.asciidoc[tag=math_list]\n\n<>::\ninclude::functions/string-functions.asciidoc[tag=string_list]\n\n<>::\ninclude::functions/date-time-functions.asciidoc[tag=date_list]\n\n<>::\ninclude::functions/type-conversion-functions.asciidoc[tag=type_list]\n\n<>::\ninclude::functions/conditional-functions-and-expressions.asciidoc[tag=cond_list]\n\n<>::\ninclude::functions/mv-functions.asciidoc[tag=mv_list]\n\n<>::\ninclude::functions/operators.asciidoc[tag=op_list]\n\ninclude::functions/aggregation-functions.asciidoc[]\ninclude::functions/math-functions.asciidoc[]\ninclude::functions/string-functions.asciidoc[]\ninclude::functions/date-time-functions.asciidoc[]\ninclude::functions/type-conversion-functions.asciidoc[]\ninclude::functions/conditional-functions-and-expressions.asciidoc[]\ninclude::functions/mv-functions.asciidoc[]\ninclude::functions/operators.asciidoc[]\n"
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+ "started": 1.3874301,
+ "sample": 0.104973175,
+ "bug": 0.28558198,
+ "instruction": 0.27171335,
+ "v": 0.13680115,
+ "cod": 0.5265528,
+ "php": 0.15322876,
+ "{": 0.27859357,
+ "}": 0.9035598,
+ "first": 0.38434368,
+ "esq": 1.8794225,
+ "before": 0.038125873,
+ "dj": 0.5383694,
+ "anne": 0.42827716,
+ "project": 0.2055779,
+ "language": 0.0401605,
+ "arriving": 0.34066716,
+ "experience": 0.32768968,
+ "got": 0.59772164,
+ "##ab": 0.9346774,
+ "apache": 0.48118627,
+ "tab": 0.08903096,
+ "earlier": 0.005075309,
+ "html": 0.6912263,
+ "tag": 0.41698337,
+ "programming": 0.2221877,
+ "ed": 0.5004389,
+ "par": 0.2778744,
+ "level": 0.041493155,
+ "archive": 0.114659965,
+ "list": 0.04572299,
+ "plus": 0.59256476,
+ "tutor": 0.7486382,
+ "sequence": 0.21355826,
+ "page": 0.39476082,
+ "forthcoming": 0.41410422,
+ "next": 0.3149036,
+ "code": 0.42907423,
+ "string": 0.2822877,
+ "import": 0.03621415,
+ "arrival": 0.7758543,
+ "student": 0.21197058,
+ "idea": 0.0503366,
+ "cad": 0.16485095,
+ "learning": 0.63216865,
+ "title": 0.91876835,
+ "interface": 0.4211375,
+ "##li": 0.08807016,
+ "sid": 0.21749292,
+ "getting": 1.2272927,
+ "button": 9.0331753E-4,
+ "synonym": 0.33784,
+ "class": 0.36473703,
+ "__": 0.16999641,
+ "keyboard": 0.18304136,
+ "introduce": 0.033948068,
+ "implementation": 0.12610976,
+ "start": 1.3237954,
+ "with": 0.9344683,
+ "serial": 0.071638264,
+ "syntax": 0.76800776,
+ "step": 0.242813,
+ "pub": 0.15800773,
+ "coming": 1.3934557,
+ "upcoming": 0.37572142
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-getting-started]]\n== Getting started with {esql}\n\n++++\nGetting started\n++++\n\ncoming::[8.11]"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "b8d2fb62-7d1a-4a01-b86e-64b15787b470",
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+ "_ignored": [
+ "text.keyword"
+ ],
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+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/esql_kibana.asciidoc"
+ },
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+ "optical": 0.21559608,
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+ "questions": 0.011028761,
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+ "language": 0.05052589,
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+ "start": 0.57829064,
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+ "time": 1.0932822,
+ "pub": 0.35741636,
+ "select": 0.68971795,
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+ "gun": 0.09135298,
+ "##bana": 2.1566699,
+ "range": 0.21097523,
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+ "julia": 0.04790667,
+ "ka": 0.19662242,
+ "ke": 0.22896734,
+ "torre": 0.57863677,
+ "ki": 1.7893376,
+ "table": 0.025457097,
+ "editor": 0.7606288,
+ "mat": 0.2954692,
+ "explore": 1.5689812,
+ "question": 0.27018106,
+ "ko": 0.051614907,
+ "display": 0.3700171,
+ "miranda": 0.065667816,
+ "filter": 1.0133314,
+ "excel": 0.38223308,
+ "exploring": 0.7705167,
+ "discovery": 1.0628176,
+ "##una": 0.22581305,
+ "cod": 0.28627214,
+ "shaw": 0.080735974,
+ "checkpoint": 0.37782454,
+ "esq": 1.9351292,
+ "reveal": 0.24571788,
+ "data": 1.3499048,
+ "use": 0.86043704,
+ "used": 0.27462,
+ "protocol": 0.11483747,
+ "tab": 0.5046485,
+ "brendan": 0.122124895,
+ "find": 0.589303,
+ "html": 0.22352876,
+ "buffer": 0.20131323,
+ "selected": 0.143482,
+ "notebook": 0.0838739,
+ "discover": 1.7976645,
+ "exploration": 0.8529747,
+ "read": 0.03240117,
+ "format": 0.0461602,
+ "archive": 0.22670794,
+ "sort": 0.09810036,
+ "clock": 0.06835344,
+ "plus": 0.39564732,
+ "tool": 0.15480979,
+ "tutor": 0.34755218,
+ "core": 0.33577913,
+ "jamie": 0.22645475,
+ "sequence": 0.013034027,
+ "expand": 0.21420325,
+ "try": 0.9440694,
+ "carly": 0.29155707,
+ "code": 0.20905794,
+ "ling": 0.11567521,
+ "student": 0.07583956,
+ "bot": 0.2426862,
+ "cad": 0.40303066,
+ "link": 0.12677453,
+ "investigate": 0.5149955,
+ "gil": 0.09030805,
+ "sql": 0.19144447,
+ "timer": 0.19760124,
+ "database": 0.49136022,
+ "kai": 0.26468027,
+ "array": 0.054493487,
+ "predict": 0.38115785,
+ "##lib": 0.4134141,
+ "keyboard": 0.41319442,
+ "zoom": 0.27780724,
+ "control": 0.15567206,
+ "command": 0.1061158,
+ "probe": 0.40669888,
+ "cuban": 0.14742532,
+ "serial": 0.43226415,
+ "online": 0.0100264475,
+ "##set": 0.63854295,
+ "user": 0.03639659
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-kibana]]\n== Using {esql} in {kib}\n\n++++\nKibana\n++++\n\n\nUse {esql} in Discover to explore a data set. From the data view dropdown,\nselect *Try {esql}* to get started.\n\nNOTE: {esql} queries in Discover and Lens are subject to the time range selected\nwith the time filter.\n\n\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "7cdadca3-2c8a-448c-b3a2-242d3c6bf879",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/esql_language.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "metadata": 1.129117,
+ "vladimir": 0.04780258,
+ "##c": 0.65024084,
+ "##d": 0.64177334,
+ "functions": 0.5817536,
+ "software": 0.48957372,
+ "##i": 0.37439176,
+ "program": 0.20379646,
+ "alphabet": 0.122778915,
+ "##l": 1.585415,
+ "type": 0.040383782,
+ "multi": 0.9884675,
+ "enrichment": 0.23123129,
+ "java": 1.016635,
+ "peg": 0.50947255,
+ "##v": 0.7101326,
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+ "dna": 0.04867113,
+ "curt": 0.066967376,
+ "##z": 0.006642286,
+ "jerry": 0.4587366,
+ "text": 0.101313084,
+ "algorithm": 0.44425943,
+ "iris": 0.2860475,
+ "using": 0.20607926,
+ "gene": 0.535653,
+ "work": 0.19538988,
+ "tex": 0.15852527,
+ "index": 0.83908856,
+ "+": 1.1432251,
+ "-": 0.1366533,
+ "script": 0.2702514,
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+ "cue": 0.05746308,
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+ "binary": 0.03606376,
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+ "##val": 1.1241823,
+ "gun": 0.003079674,
+ "miscellaneous": 0.11924448,
+ "##ler": 0.062443588,
+ "document": 0.060444307,
+ "##bre": 1.2730403,
+ "##bra": 0.23945701,
+ "computer": 0.3145675,
+ "file": 0.49798194,
+ "library": 0.24058555,
+ "operators": 0.7242331,
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+ "ian": 0.099223115,
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+ "[": 1.1902722,
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+ "]": 0.092425294,
+ "_": 0.47769362,
+ "include": 0.7972007,
+ "editor": 0.7615632,
+ "chip": 0.59566176,
+ "expression": 0.3600273,
+ "c": 0.06938151,
+ "contain": 0.06579786,
+ "languages": 0.694307,
+ "display": 0.27069318,
+ "column": 0.5631565,
+ "##id": 0.8689365,
+ "sample": 0.03595762,
+ "ibm": 0.17230962,
+ "machine": 0.09631636,
+ "isa": 0.060877595,
+ "cod": 0.29513237,
+ "information": 0.301858,
+ "z": 0.04045396,
+ "{": 0.44308022,
+ "}": 0.5239269,
+ "operation": 0.2525071,
+ "font": 0.19962847,
+ "checkpoint": 0.24824584,
+ "ass": 0.112926066,
+ "instructions": 0.14634399,
+ "esq": 2.1156428,
+ "data": 0.5911932,
+ "dj": 0.2843082,
+ "anne": 0.8363909,
+ "language": 1.3727901,
+ "operator": 0.7240557,
+ "ata": 0.45263222,
+ "##ab": 1.0204276,
+ "protocol": 0.28061306,
+ "apache": 0.48725635,
+ "function": 0.72454274,
+ "##ip": 0.0026550777,
+ "html": 0.42683583,
+ "implement": 0.007371015,
+ "commands": 0.5233886,
+ "programming": 0.14530985,
+ "ed": 0.39496097,
+ "including": 0.3267524,
+ "oracle": 0.16505796,
+ "format": 0.14740063,
+ "eric": 0.040637575,
+ "en": 0.5853112,
+ "##ido": 1.5348964,
+ "archive": 0.40988624,
+ "list": 0.057928827,
+ "plus": 0.25502452,
+ "##ca": 0.19237468,
+ "tutor": 0.33900025,
+ "jamie": 0.26588872,
+ "core": 0.052224934,
+ "expand": 0.2612904,
+ "##ida": 0.56228906,
+ "fields": 1.1181452,
+ "decimal": 0.06390794,
+ "code": 0.45785967,
+ "import": 0.017965216,
+ "cad": 0.6510972,
+ "gil": 0.007167578,
+ "title": 0.756353,
+ "interface": 0.72045976,
+ "sid": 0.7856728,
+ "apple": 0.016599637,
+ "database": 0.5003416,
+ "array": 0.1929923,
+ "##ci": 1.3445692,
+ "working": 0.88101476,
+ "david": 0.30171502,
+ "##lib": 0.018691944,
+ "compiler": 0.25668153,
+ "lang": 0.09058759,
+ "class": 0.6114963,
+ "enhance": 0.432256,
+ "##rich": 1.3816763,
+ "##ue": 0.68899727,
+ "keyboard": 0.3057316,
+ "multiple": 0.31504425,
+ "length": 0.18644053,
+ "alberta": 0.18717839,
+ "command": 0.85687333,
+ "with": 0.6823971,
+ "serial": 0.45188078,
+ "detailed": 0.42280695,
+ "syntax": 1.0172025,
+ "pub": 0.3252244
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-language]]\n== Working with the {esql} language\n\n++++\nWorking with the {esql} language\n++++\n\nDetailed information about the {esql} language:\n\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n\ninclude::esql-syntax.asciidoc[]\ninclude::esql-commands.asciidoc[]\ninclude::esql-functions-operators.asciidoc[]\ninclude::multivalued-fields.asciidoc[]\ninclude::metadata-fields.asciidoc[]\ninclude::esql-enrich-data.asciidoc[]\n\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "d634e783-7ee6-465e-9912-07a8ed201d73",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/esql_limitations.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.14304918,
+ "half": 0.9567486,
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+ "allowed": 0.57085073,
+ "##l": 1.6717647,
+ "constraints": 0.38250497,
+ "java": 1.1086512,
+ "##v": 0.6490745,
+ "jan": 0.09944665,
+ "represented": 0.16148338,
+ "api": 0.23946302,
+ "limitations": 1.6229883,
+ "##lean": 0.8395302,
+ "10": 0.45164475,
+ "databases": 0.39116552,
+ "ab": 0.0414338,
+ "*": 0.20287488,
+ "+": 1.0847507,
+ "version": 0.68791413,
+ "000": 0.5230332,
+ "miscellaneous": 0.27181256,
+ "##type": 0.10522376,
+ "##ler": 0.09032852,
+ "##bre": 1.3504865,
+ "long": 0.86599207,
+ "##bra": 0.033841934,
+ "characters": 0.013706259,
+ "search": 0.16518642,
+ "supports": 0.22489154,
+ "vector": 0.08893935,
+ "[": 0.48543262,
+ "fred": 0.36031976,
+ "limits": 0.70018256,
+ "key": 0.5118437,
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+ "latest": 0.4546725,
+ "scaling": 0.51357347,
+ "column": 0.22045182,
+ "many": 0.26178506,
+ "single": 0.64728814,
+ "bug": 0.025372723,
+ "v": 0.07444182,
+ "maximum": 1.2124687,
+ "{": 0.36007947,
+ "returned": 0.30482042,
+ "}": 0.48094422,
+ "supported": 1.2725884,
+ "represent": 0.50603414,
+ "standard": 0.0011117237,
+ "available": 0.16238916,
+ "anne": 0.67261297,
+ "language": 0.16078527,
+ "##ab": 1.0708286,
+ "apache": 0.8496512,
+ "weighted": 0.27632657,
+ "ed": 0.39731103,
+ "par": 0.15286532,
+ "chess": 0.2707751,
+ "eh": 0.076664336,
+ "oracle": 0.015453245,
+ "maps": 0.16070762,
+ "##card": 0.5243239,
+ "query": 1.1347871,
+ "batch": 0.08764096,
+ "discrete": 1.3852229,
+ "##word": 1.0722902,
+ "fields": 0.9382811,
+ "support": 0.7819416,
+ "parameters": 0.10454205,
+ "que": 0.38805476,
+ "formats": 0.25945973,
+ "memory": 0.1786072,
+ "classes": 0.21232271,
+ "title": 0.9837734,
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+ "sid": 0.79805005,
+ "not": 0.16411492,
+ "now": 0.091073975,
+ "compiler": 0.043605175,
+ "class": 0.6962519,
+ "cipher": 0.14233291,
+ "types": 1.354153,
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+ "gene": 0.1740913,
+ "double": 1.1340073,
+ "byte": 1.0434653,
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+ "esq": 2.0609663,
+ "constant": 0.77467644,
+ "scaled": 1.222083,
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+ "float": 1.298464,
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+ "limit": 1.1629767,
+ "html": 0.2991975,
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+ "mapped": 0.29984966,
+ "files": 0.08411382,
+ "##words": 0.3224357,
+ "limitation": 1.174316,
+ "boo": 1.01575,
+ "legacy": 0.26555833,
+ "code": 0.15677872,
+ "keys": 0.023829257,
+ "cad": 0.41746798,
+ "scale": 0.6838251,
+ "sql": 0.8135147,
+ "weakness": 0.10070846,
+ "database": 0.86495304,
+ "total": 0.14766899,
+ "array": 0.11773259,
+ "floating": 0.84350765,
+ "alias": 1.7004,
+ "dated": 0.36694688,
+ "row": 0.92698103,
+ "lang": 0.17709064,
+ "value": 0.32370353,
+ "limited": 0.971847,
+ "rows": 1.0117382,
+ "families": 0.43665022,
+ "int": 0.9052741,
+ "command": 0.8985537,
+ "consecutive": 0.14053027,
+ "currently": 0.89187396,
+ "serial": 0.5371535,
+ "bytes": 0.25071806,
+ "unsigned": 0.89225304,
+ "wild": 1.367314
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-limitations]]\n== {esql} limitations\n\n++++\nLimitations\n++++\n\n[discrete]\n[[esql-supported-types]]\n=== Supported types\n\n* {esql} currently supports the following <>:\n\n** `alias`\n** `boolean`\n** `date`\n** `double` (`float`, `half_float`, `scaled_float` are represented as `double`)\n** `ip`\n** `keyword` family including `keyword`, `constant_keyword`, and `wildcard`\n** `int` (`short` and `byte` are represented as `int`)\n** `long`\n** `null`\n** `text`\n** `unsigned_long`\n** `version`\n\n[discrete]\n[[esql-max-rows]]\n=== 10,000 row maximum\n\nA single query will not return more than 10,000 rows, regardless of the\n`LIMIT` command's value."
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "4f4a5017-2cfc-4919-9127-88c59aed14e2",
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+ "text.keyword"
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+ "smile": 1.575982,
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+ "pages": 0.6667134,
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+ "find": 0.33375585,
+ "continuous": 0.4531948,
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+ "html": 0.32450077,
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+ "mp": 0.03636728,
+ "format": 1.2526125,
+ "archive": 0.4344861,
+ "sort": 0.9465609,
+ "published": 0.44418925,
+ "amazon": 0.074556455,
+ "market": 0.07287202,
+ "jamie": 0.39375097,
+ "true": 0.33192897,
+ "header": 0.71717393,
+ "survey": 0.46170002,
+ "request": 0.8747883,
+ "boo": 0.66330117,
+ "code": 0.1611707,
+ "values": 0.64352787,
+ "link": 0.024204118,
+ "gil": 0.06285575,
+ "error": 0.017177379,
+ "sql": 0.3177875,
+ "eva": 1.3847215,
+ "database": 0.52803075,
+ "security": 0.5193693,
+ "para": 0.98705983,
+ "array": 0.3983147,
+ "parameter": 1.0725328,
+ "define": 0.21100834,
+ "alias": 0.66722584,
+ "value": 0.6708659,
+ "rest": 1.1178653,
+ "console": 0.8048767,
+ "##ml": 0.8124062,
+ "serial": 0.5602055,
+ "response": 0.86698073,
+ "online": 0.24796735,
+ "respond": 0.56251717
+ },
+ "is_truncated": true,
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-query-api]]\n== {esql} query API\n++++\n{esql} query API\n++++\n\nReturns search results for an <> query.\n\n[source,console]\n----\nPOST /_query\n{\n \"query\": \"\"\"\n FROM library\n | EVAL year = DATE_TRUNC(1 YEARS, release_date)\n | STATS MAX(page_count) BY year\n | SORT year\n | LIMIT 5\n \"\"\"\n}\n----\n// TEST[setup:library]\n\n[discrete]\n[[esql-query-api-request]]\n=== {api-request-title}\n\n`POST _query`\n\n[discrete]\n[[esql-query-api-prereqs]]\n=== {api-prereq-title}\n\n* If the {es} {security-features} are enabled, you must have the `read`\n<> for the data stream, index,\nor alias you search.\n\n[discrete]\n[[esql-query-api-query-params]]\n=== {api-query-parms-title}\n\n`delimiter`::\n(Optional, string) Separator for CSV results. Defaults to `,`. The API only\nsupports this parameter for CSV responses.\n\n`format`::\n(Optional, string) Format for the response. For valid values, refer to\n<>.\n+\nYou can also specify a format using the `Accept` HTTP header. If you specify\nboth this parameter and the `Accept` HTTP header, this parameter takes\nprecedence.\n\n[discrete]\n[role=\"child_attributes\"]\n[[esql-query-api-request-body]]\n=== {api-request-body-title}\n\n`columnar`::\n(Optional, Boolean) If `true`, returns results in a columnar format. Defaults to\n`false`. The API only supports this parameter for CBOR, JSON, SMILE, and YAML\nresponses. See <>.\n\n`params`::\n(Optional, array) Values for parameters in the `query`. For syntax, refer to\n<>.\n\n`query`::\n(Required, object) {esql} query to run. For syntax, refer to <>.\n\n[[esql-search-api-time-zone]]\n`time_zone`::\n(Optional, string) ISO-8601 time zone ID for the search. Several {esql}\ndate/time functions use this time zone. Defaults to `Z` (UTC).\n\n[discrete]\n[role=\"child_attributes\"]\n[[esql-query-api-response-body]]\n=== {api-response-body-title}\n\n`columns`::\n(array of objects)\nColumn headings for the search results. Each object is a column.\n+\n.Properties of `columns` objects\n[%collapsible%open]\n====\n`name`::\n(string) Name of the column.\n\n`type`::\n(string) Data type for the column.\n====\n\n`rows`::\n(array of arrays)\nValues for the search results.\n"
+ }
+ },
+ {
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+ "text": "[[esql-rest]]\n== {esql} REST API\n\n++++\nREST API\n++++\n\n[discrete]\n[[esql-rest-overview]]\n=== Overview\n\nThe <> accepts an {esql} query string in the\n`query` parameter, runs it, and returns the results. For example:\n\n[source,console]\n----\nPOST /_query?format=txt\n{\n \"query\": \"FROM library | KEEP author, name, page_count, release_date | SORT page_count DESC | LIMIT 5\"\n}\n----\n// TEST[setup:library]\n\nWhich returns:\n\n[source,text]\n----\n author | name | page_count | release_date\n-----------------+--------------------+---------------+------------------------\nPeter F. Hamilton|Pandora's Star |768 |2004-03-02T00:00:00.000Z\nVernor Vinge |A Fire Upon the Deep|613 |1992-06-01T00:00:00.000Z\nFrank Herbert |Dune |604 |1965-06-01T00:00:00.000Z\nAlastair Reynolds|Revelation Space |585 |2000-03-15T00:00:00.000Z\nJames S.A. Corey |Leviathan Wakes |561 |2011-06-02T00:00:00.000Z\n----\n// TESTRESPONSE[s/\\|/\\\\|/ s/\\+/\\\\+/]\n// TESTRESPONSE[non_json]\n\n[discrete]\n[[esql-kibana-console]]\n=== Kibana Console\n\nIf you are using {kibana-ref}/console-kibana.html[Kibana Console] (which is\nhighly recommended), take advantage of the triple quotes `\"\"\"` when creating the\nquery. This not only automatically escapes double quotes (`\"`) inside the query\nstring but also supports multi-line requests:\n\n// tag::esql-query-api[]\n[source,console]\n----\nPOST /_query?format=txt\n{\n \"query\": \"\"\"\n FROM library\n | KEEP author, name, page_count, release_date\n | SORT page_count DESC\n | LIMIT 5\n \"\"\"\n}\n----\n// TEST[setup:library]\n\n[discrete]\n[[esql-rest-format]]\n=== Response formats\n\n{esql} can return the data in the following human readable and binary formats.\nYou can set the format by specifying the `format` parameter in the URL or by\nsetting the `Accept` or `Content-Type` HTTP header.\n\nNOTE: The URL parameter takes precedence over the HTTP headers. If neither is\nspecified then the response is returned in the same format as the request.\n\n[cols=\"m,4m,8\"]\n\n|===\ns|`format`\ns|HTTP header\ns|Description\n\n3+h| Human readable\n\n|csv\n|text/csv\n|{wikipedia}/Comma-separated_values[Comma-separated values]\n\n|json\n|application/json\n|https://www.json.org/[JSON] (JavaScript Object Notation) human-readable format\n\n|tsv\n|text/tab-separated-values\n|{wikipedia}/Tab-separated_values[Tab-separated values]\n\n|txt\n|text/plain\n|CLI-like representation\n\n|yaml\n|application/yaml\n|{wikipedia}/YAML[YAML] (YAML Ain't Markup Language) human-readable format\n\n3+h| Binary\n\n|cbor\n|application/cbor\n|https://cbor.io/[Concise Binary Object Representation]\n\n|smile\n|application/smile\n|{wikipedia}/Smile_(data_interchange_format)[Smile] binary data format similar\nto CBOR\n\n|===\n\nThe `csv` format accepts a formatting URL query attribute, `delimiter`, which\nindicates which character should be used to separate the CSV values. It defaults\nto comma (`,`) and cannot take any of the following values: double quote (`\"`),\ncarriage-return (`\\r`) and new-line (`\\n`). The tab (`\\t`) can also not be used.\nUse the `tsv` format instead.\n\n[discrete]\n[[esql-rest-filtering]]\n=== Filtering using {es} Query DSL\n\nSpecify a Query DSL query in the `filter` parameter to filter the set of\ndocuments that an {esql} query runs on.\n\n[source,console]\n----\nPOST /_query?format=txt\n{\n \"query\": \"\"\"\n FROM library\n | KEEP author, name, page_count, release_date\n | SORT page_count DESC\n | LIMIT 5\n \"\"\",\n \"filter\": {\n \"range\": {\n \"page_count\": {\n \"gte\": 100,\n \"lte\": 200\n }\n }\n }\n}\n----\n// TEST[setup:library]\n\nWhich returns:\n\n[source,text]\n--------------------------------------------------\n author | name | page_count | release_date\n---------------+------------------------------------+---------------+------------------------\nDouglas Adams |The Hitchhiker's Guide to the Galaxy|180 |1979-10-12T00:00:00.000Z\n--------------------------------------------------\n// TESTRESPONSE[s/\\|/\\\\|/ s/\\+/\\\\+/]\n// TESTRESPONSE[non_json]\n\n[discrete]\n[[esql-rest-columnar]]\n=== Columnar results\n\nBy default, {esql} returns results as rows. For example, `FROM` returns each\nindividual document as one row. For the `json`, `yaml`, `cbor` and `smile`\n<>, {esql} can return the results in a columnar\nfashion where one row represents all the values of a certain column in the\nresults.\n\n[source,console]\n----\nPOST /_query?format=json\n{\n \"query\": \"\"\"\n FROM library\n | KEEP author, name, page_count, release_date\n | SORT page_count DESC\n | LIMIT 5\n \"\"\",\n \"columnar\": true\n}\n----\n// TEST[setup:library]\n\nWhich returns:\n\n[source,console-result]\n----\n{\n \"columns\": [\n {\"name\": \"author\", \"type\": \"text\"},\n {\"name\": \"name\", \"type\": \"text\"},\n {\"name\": \"page_count\", \"type\": \"integer\"},\n {\"name\": \"release_date\", \"type\": \"date\"}\n ],\n \"values\": [\n [\"Peter F. Hamilton\", \"Vernor Vinge\", \"Frank Herbert\", \"Alastair Reynolds\", \"James S.A. Corey\"],\n [\"Pandora's Star\", \"A Fire Upon the Deep\", \"Dune\", \"Revelation Space\", \"Leviathan Wakes\"],\n [768, 613, 604, 585, 561],\n [\"2004-03-02T00:00:00.000Z\", \"1992-06-01T00:00:00.000Z\", \"1965-06-01T00:00:00.000Z\", \"2000-03-15T00:00:00.000Z\", \"2011-06-02T00:00:00.000Z\"]\n ]\n}\n----\n\n[discrete]\n[[esql-rest-params]]\n=== Passing parameters to a query\n\nValues, for example for a condition, can be passed to a query \"inline\", by\nintegrating the value in the query string itself:\n\n[source,console]\n----\nPOST /_query\n{\n \"query\": \"\"\"\n FROM library\n | EVAL year = DATE_EXTRACT(\"year\", release_date)\n | WHERE page_count > 300 AND author == \"Frank Herbert\"\n | STATS count = COUNT(*) by year\n | WHERE count > 0\n | LIMIT 5\n \"\"\"\n}\n----\n// TEST[setup:library]\n\nTo avoid any attempts of hacking or code injection, extract the values in a\nseparate list of parameters. Use question mark placeholders (`?`) in the query\nstring for each of the parameters:\n\n[source,console]\n----\nPOST /_query\n{\n \"query\": \"\"\"\n FROM library\n | EVAL year = DATE_EXTRACT(\"year\", release_date)\n | WHERE page_count > ? AND author == ?\n | STATS count = COUNT(*) by year\n | WHERE count > ?\n | LIMIT 5\n \"\"\",\n \"params\": [300, \"Frank Herbert\", 0]\n}\n----\n// TEST[setup:library]\n"
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+ "text": "[[esql-syntax]]\n=== {esql} syntax reference\n\n++++\nSyntax reference\n++++\n\n[discrete]\n[[esql-basic-syntax]]\n=== Basic syntax\n\nAn {esql} query is composed of a <> followed\nby an optional series of <>,\nseparated by a pipe character: `|`. For example:\n\n[source,esql]\n----\nsource-command\n| processing-command1\n| processing-command2\n----\n\nThe result of a query is the table produced by the final processing command.\n\nFor an overview of all supported commands, functions, and operators, refer to <> and <>.\n\n[NOTE]\n====\nFor readability, this documentation puts each processing command on a new\nline. However, you can write an {esql} query as a single line. The following\nquery is identical to the previous one:\n\n[source,esql]\n----\nsource-command | processing-command1 | processing-command2\n----\n====\n\n[discrete]\n[[esql-comments]]\n==== Comments\n{esql} uses C++ style comments:\n\n* double slash `//` for single line comments\n* `/*` and `*/` for block comments\n\n[source,esql]\n----\n// Query the employees index\nFROM employees\n| WHERE height > 2\n----\n\n[source,esql]\n----\nFROM /* Query the employees index */ employees\n| WHERE height > 2\n----\n\n[source,esql]\n----\nFROM employees\n/* Query the\n * employees\n * index */\n| WHERE height > 2\n----\n\n[discrete]\n[[esql-timespan-literals]]\n==== Timespan literals\n\nDatetime intervals and timespans can be expressed using timespan literals.\nTimespan literals are a combination of a number and a qualifier. These\nqualifiers are supported:\n\n* `millisecond`/`milliseconds`\n* `second`/`seconds`\n* `minute`/`minutes`\n* `hour`/`hours`\n* `day`/`days`\n* `week`/`weeks`\n* `month`/`months`\n* `year`/`years`\n\nTimespan literals are not whitespace sensitive. These expressions are all valid:\n\n* `1day`\n* `1 day`\n* `1 day`\n"
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+ "flag": 0.22891292,
+ "signature": 1.6244956,
+ "log": 0.64331436,
+ "jp": 0.23586631,
+ "save": 0.452818,
+ "pattern": 0.2045507,
+ "retain": 0.0891966,
+ "exercise": 0.22035293,
+ "mac": 0.22910434,
+ "computer": 0.2908916,
+ "file": 0.66791576,
+ "tom": 0.022895277,
+ "surname": 0.12248481,
+ "table": 0.24120681,
+ "editor": 0.49650288,
+ "mat": 0.31934094,
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+ "display": 0.43054232,
+ "##id": 0.591447,
+ "excel": 0.39885348,
+ "names": 0.23882651,
+ "cod": 0.34326437,
+ "li": 0.07288122,
+ "return": 0.6449106,
+ "board": 0.069008194,
+ "dimensions": 0.2595416,
+ "checkpoint": 0.2188695,
+ "esq": 1.9986902,
+ "data": 0.56614995,
+ "sign": 0.6648522,
+ "recognition": 0.013347557,
+ "integer": 0.11201599,
+ "employee": 1.2376784,
+ "forensic": 0.12478408,
+ "protocol": 0.08957205,
+ "tab": 0.21596366,
+ "find": 0.13034989,
+ "function": 1.0279435,
+ "continuous": 0.8502162,
+ "logo": 0.23956229,
+ "html": 0.30225638,
+ "lap": 0.22834954,
+ "buffer": 0.17806074,
+ "notebook": 0.3585366,
+ "initials": 0.22050689,
+ "format": 0.4578607,
+ "##ido": 1.4990829,
+ "archive": 0.26099,
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+ "core": 0.5806565,
+ "sequence": 0.29949415,
+ "disk": 0.09930925,
+ "keep": 0.7397269,
+ "retrieve": 0.2736475,
+ "code": 0.23219763,
+ "differentiation": 0.20615996,
+ "legacy": 0.11867867,
+ "student": 0.10702622,
+ "cad": 0.81215745,
+ "values": 0.4173006,
+ "insert": 0.017002532,
+ "##icia": 0.008550581,
+ "storage": 0.12467759,
+ "error": 0.24946177,
+ "percent": 0.32642287,
+ "sql": 0.1756381,
+ "eva": 1.6706853,
+ "database": 0.5565964,
+ "para": 0.085529305,
+ "##lib": 0.3390738,
+ "value": 1.1414505,
+ "__": 0.062681764,
+ "keyboard": 0.671731,
+ "sap": 0.24762736,
+ "equation": 0.0208497,
+ "control": 0.12912212,
+ "command": 0.11145503,
+ "inline": 1.633778,
+ "serial": 0.61569166,
+ "heights": 0.5960802,
+ "inherited": 0.27839568
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-abs]]\n=== `ABS`\n[.text-center]\nimage::esql/functions/signature/abs.svg[Embedded,opts=inline]\n\nReturns the absolute value.\n\n[source,esql]\n----\nFROM employees\n| KEEP first_name, last_name, height\n| EVAL abs_height = ABS(0.0 - height)\n----\n\nSupported types:\n\ninclude::types/abs.asciidoc[]\n"
+ }
+ },
+ {
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+ "angle": 1.4615793,
+ "map": 0.20759262,
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+ "include": 0.26805592,
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+ "cod": 0.08861886,
+ "return": 0.6121351,
+ "esq": 2.0308678,
+ "data": 0.06149893,
+ "precision": 0.14460087,
+ "sign": 0.18389025,
+ "float": 0.9208023,
+ "axis": 0.11959433,
+ "spec": 1.1241713,
+ "space": 0.2031019,
+ "function": 1.263053,
+ "continuous": 0.7902799,
+ "html": 0.38178602,
+ "lap": 0.1863319,
+ "expressed": 0.6415348,
+ "tag": 0.612131,
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+ "format": 0.8418204,
+ "##ido": 1.3998747,
+ "tri": 0.97056174,
+ "core": 0.5213092,
+ "sequence": 0.06340895,
+ "unit": 0.18400282,
+ "null": 1.6450824,
+ "##ida": 0.06385348,
+ "header": 0.73510706,
+ "ni": 0.005496508,
+ "nm": 0.049427968,
+ "code": 0.36833084,
+ "boo": 0.09073893,
+ "angles": 0.3177377,
+ "cad": 0.8123036,
+ "nu": 0.56966484,
+ "gil": 0.19552039,
+ "error": 0.30003598,
+ "point": 0.13189214,
+ "numerical": 0.11356963,
+ "database": 0.106101006,
+ "para": 0.1251358,
+ "array": 0.051144965,
+ "floating": 0.88364035,
+ "parameter": 0.63404757,
+ "##gon": 1.1550298,
+ "define": 0.10505045,
+ "direction": 0.27904376,
+ "inverse": 1.4078819,
+ "keyboard": 0.08914186,
+ "os": 0.5408676,
+ "equation": 0.51712394,
+ "zoom": 0.008711902,
+ "inline": 1.0638114,
+ "pi": 1.4423284E-4
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-acos]]\n=== `ACOS`\n\n*Syntax*\n\n[.text-center]\nimage::esql/functions/signature/acos.svg[Embedded,opts=inline]\n\n*Parameters*\n\n`n`::\nNumeric expression. If `null`, the function returns `null`.\n\n*Description*\n\nReturns the {wikipedia}/Inverse_trigonometric_functions[arccosine] of `n` as an\nangle, expressed in radians.\n\n*Supported types*\n\ninclude::types/acos.asciidoc[]\n\n*Example*\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/floats.csv-spec[tag=acos]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/floats.csv-spec[tag=acos-result]\n|===\n"
+ }
+ },
+ {
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+ "text.keyword"
+ ],
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+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/aggregation_functions.asciidoc"
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+ "function": 1.1761205,
+ "segment": 0.25005034,
+ "html": 0.29139942,
+ "tag": 0.9036376,
+ "buffer": 0.25632688,
+ "ed": 0.41118476,
+ "par": 0.26762035,
+ "taylor": 0.3034921,
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+ "decimal": 0.40024972,
+ "support": 0.5156029,
+ "cad": 0.39434785,
+ "distinct": 0.89954245,
+ "aggregation": 1.2658035,
+ "ensemble": 0.123513006,
+ "gil": 0.09703833,
+ "title": 0.21681511,
+ "interface": 0.12292662,
+ "amy": 0.034244854,
+ "percent": 1.0810467,
+ "aggregate": 2.0750005,
+ "sid": 0.50373787,
+ "sql": 0.28250888,
+ "compiled": 0.4482157,
+ "database": 0.3896809,
+ "total": 0.07290959,
+ "array": 0.3748618,
+ "plot": 0.15054694,
+ "##ci": 1.2521864,
+ "predict": 0.18317477,
+ "end": 0.27640796,
+ "david": 0.021387536,
+ "class": 0.46711662,
+ "equation": 0.20088416,
+ "multiple": 0.3759631,
+ "deviation": 1.2417421,
+ "alberta": 0.028460983,
+ "variance": 0.39307258,
+ "serial": 0.18812047,
+ "syntax": 0.27596653,
+ "pub": 0.6225675
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-agg-functions]]\n==== {esql} aggregate functions\n\n++++\nAggregate functions\n++++\n\nThe <> function supports these aggregate functions:\n\n// tag::agg_list[]\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n// end::agg_list[]\n\ninclude::avg.asciidoc[]\ninclude::count.asciidoc[]\ninclude::count-distinct.asciidoc[]\ninclude::max.asciidoc[]\ninclude::median.asciidoc[]\ninclude::median-absolute-deviation.asciidoc[]\ninclude::min.asciidoc[]\ninclude::percentile.asciidoc[]\ninclude::sum.asciidoc[]\n"
+ }
+ },
+ {
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+ "_score": 1.0,
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+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/asin.asciidoc"
+ },
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+ "inverted": 0.7947449,
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+ "online": 0.12291502,
+ "formula": 0.06090911,
+ "pub": 0.34812608
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-asin]]\n=== `ASIN`\n[.text-center]\nimage::esql/functions/signature/asin.svg[Embedded,opts=inline]\n\nInverse https://en.wikipedia.org/wiki/Inverse_trigonometric_functions[sine] trigonometric function.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/floats.csv-spec[tag=asin]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/floats.csv-spec[tag=asin-result]\n|===\n\nSupported types:\n\ninclude::types/asin.asciidoc[]\n"
+ }
+ },
+ {
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+ "inline": 1.2557572,
+ "serial": 0.016982257,
+ "online": 0.057867847
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-atan]]\n=== `ATAN`\n[.text-center]\nimage::esql/functions/signature/atan.svg[Embedded,opts=inline]\n\nInverse https://en.wikipedia.org/wiki/Inverse_trigonometric_functions[tangent] trigonometric function.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/floats.csv-spec[tag=atan]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/floats.csv-spec[tag=atan-result]\n|===\n\nSupported types:\n\ninclude::types/atan.asciidoc[]\n"
+ }
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+ "inline": 1.0697916,
+ "serial": 0.42694008
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-atan2]]\n=== `ATAN2`\n[.text-center]\nimage::esql/functions/signature/atan2.svg[Embedded,opts=inline]\n\nThe https://en.wikipedia.org/wiki/Atan2[angle] between the positive x-axis and the\nray from the origin to the point (x , y) in the Cartesian plane.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/floats.csv-spec[tag=atan2]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/floats.csv-spec[tag=atan2-result]\n|===\n\nSupported types:\n\ninclude::types/atan2.asciidoc[]\n"
+ }
+ },
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+ "array": 0.21481524,
+ "predict": 0.28061885,
+ "dated": 0.11347375,
+ "row": 1.1882896,
+ "##lib": 0.4180681,
+ "value": 0.70825243,
+ "automatic": 0.99991524,
+ "harold": 0.23921323,
+ "rows": 0.8602259,
+ "consecutive": 0.2790417,
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+ "100": 0.7830545,
+ "corresponding": 0.5972048,
+ "serial": 0.029975919,
+ "user": 0.27236432
+ },
+ "is_truncated": true,
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-auto_bucket]]\n=== `AUTO_BUCKET`\nCreates human-friendly buckets and returns a `datetime` value for each row that\ncorresponds to the resulting bucket the row falls into. Combine `AUTO_BUCKET`\nwith <> to create a date histogram.\n\nYou provide a target number of buckets, a start date, and an end date, and it\npicks an appropriate bucket size to generate the target number of buckets or\nfewer. For example, this asks for at most 20 buckets over a whole year, which\npicks monthly buckets:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/date.csv-spec[tag=auto_bucket_month]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/date.csv-spec[tag=auto_bucket_month-result]\n|===\n\nThe goal isn't to provide *exactly* the target number of buckets, it's to pick a\nrange that people are comfortable with that provides at most the target number of\nbuckets.\n\nIf you ask for more buckets then `AUTO_BUCKET` can pick a smaller range. For example,\nasking for at most 100 buckets in a year will get you week long buckets:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/date.csv-spec[tag=auto_bucket_week]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/date.csv-spec[tag=auto_bucket_week-result]\n|===\n\n`AUTO_BUCKET` does not filter any rows. It only uses the provided time range to\npick a good bucket size. For rows with a date outside of the range, it returns a\n`datetime` that corresponds to a bucket outside the range. Combine `AUTO_BUCKET`\nwith <> to filter rows.\n\nA more complete example might look like:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/date.csv-spec[tag=auto_bucket_in_agg]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/date.csv-spec[tag=auto_bucket_in_agg-result]\n|===\n\nNOTE: `AUTO_BUCKET` does not create buckets that don't match any documents. That's\nwhy the example above is missing `1985-03-01` and other dates.\n\n==== Numeric fields\n\n`auto_bucket` can also operate on numeric fields like this:\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/ints.csv-spec[tag=auto_bucket]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/ints.csv-spec[tag=auto_bucket-result]\n|===\n\nUnlike the example above where you are intentionally filtering on a date range,\nyou rarely want to filter on a numeric range. So you have find the `min` and `max`\nseparately. We don't yet have an easy way to do that automatically. Improvements\ncoming!\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "9ff75b96-4390-4369-ba31-7da7fbf78e00",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
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+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/avg.asciidoc"
+ },
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+ "=": 0.1297832,
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+ "pattern": 0.14354871,
+ "##arat": 0.8368543,
+ "file": 0.36739433,
+ "composed": 0.29357514,
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+ "include": 1.1061832,
+ "editor": 0.19530232,
+ "heading": 0.50619197,
+ "display": 0.3919448,
+ "excel": 0.73177886,
+ "##meric": 1.0965018,
+ "report": 0.41987702,
+ "organized": 0.34438977,
+ "cod": 0.20344259,
+ "statistics": 1.0664566,
+ "esq": 1.8729948,
+ "constant": 0.41910395,
+ "data": 0.69083005,
+ "dice": 0.34902698,
+ "integer": 0.04287486,
+ "spec": 1.6583666,
+ "space": 0.5669451,
+ "split": 0.165485,
+ "continuous": 0.9337261,
+ "html": 0.5660519,
+ "lap": 0.19975011,
+ "tag": 0.9568425,
+ "buffer": 0.019994026,
+ "combine": 0.5497621,
+ "always": 1.114884,
+ "including": 0.70884246,
+ "mp": 0.12543942,
+ "format": 1.1335752,
+ "includes": 0.18608807,
+ "sort": 0.25543246,
+ "core": 0.42929432,
+ "jamie": 0.18503787,
+ "sequence": 0.18310876,
+ "square": 0.16866292,
+ "unit": 0.439791,
+ "twice": 0.383255,
+ "header": 1.1958759,
+ "dash": 0.02971871,
+ "code": 0.26052588,
+ "nu": 0.62083054,
+ "cad": 0.24744178,
+ "gil": 0.193712,
+ "error": 0.41478455,
+ "amy": 0.102225624,
+ "percent": 0.44350845,
+ "sql": 0.17195816,
+ "numerical": 0.20171513,
+ "database": 0.22947817,
+ "array": 0.06288911,
+ "included": 0.40989226,
+ "value": 0.29771146,
+ "equation": 0.25318205,
+ "serial": 0.5824423,
+ "mean": 0.473326,
+ "category": 0.011109756,
+ "demographics": 0.21975724
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-agg-avg]]\n=== `AVG`\nThe average of a numeric field.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/stats.csv-spec[tag=avg]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/stats.csv-spec[tag=avg-result]\n|===\n\nThe result is always a `double` not matter the input type.\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "e8f55230-733a-4821-a06e-2a1d8c6343df",
+ "_score": 1.0,
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/binary.asciidoc"
+ },
+ "vector": {
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+ "smaller": 0.34312636,
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+ "allowed": 0.22259256,
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+ "large": 0.5956622,
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+ "inequality": 1.5979624,
+ "as": 0.086198285,
+ "size": 0.66152173,
+ "binary": 1.8420161,
+ "comparisons": 1.0693729,
+ "difference": 0.018828709,
+ "unicode": 0.011171293,
+ "math": 0.9718891,
+ "<": 0.5071511,
+ "=": 0.8984222,
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+ "compare": 0.96320266,
+ "miscellaneous": 0.14704175,
+ "algebra": 0.2758955,
+ "matrix": 0.073542215,
+ "two": 0.12635984,
+ "valid": 0.032871004,
+ "coding": 0.06578893,
+ "operators": 1.441473,
+ "julia": 0.24782333,
+ "where": 0.07817308,
+ "[": 0.71620286,
+ "multiplication": 0.19116092,
+ "fred": 0.021779643,
+ "equality": 1.6484951,
+ "]": 0.488786,
+ "table": 0.019880092,
+ "_": 0.46473467,
+ "`": 0.4347224,
+ "editor": 0.26619816,
+ "expression": 0.42947775,
+ "within": 0.11239949,
+ "union": 0.22246899,
+ "excel": 0.29440716,
+ "##qual": 0.6142855,
+ "cod": 0.66948473,
+ "logic": 0.15725605,
+ "operation": 0.68104905,
+ "da": 0.3243496,
+ "supported": 1.0739965,
+ "ratio": 0.41517943,
+ "mathematical": 0.05219314,
+ "ass": 0.26990697,
+ "small": 0.11606102,
+ "symbol": 0.16042578,
+ "esq": 1.6772745,
+ "##au": 0.11200363,
+ "declare": 0.07354443,
+ "dice": 0.18140933,
+ "anne": 0.27334425,
+ "language": 0.25707564,
+ "integer": 0.2936423,
+ "operator": 1.4879122,
+ "reference": 0.11829249,
+ "assessment": 0.11674596,
+ "than": 1.022477,
+ "continuous": 0.81015384,
+ "intersection": 0.18441312,
+ "lap": 0.38579944,
+ "html": 0.026529748,
+ "ed": 0.5256457,
+ "combination": 0.36315483,
+ "par": 0.30518913,
+ "which": 0.27823314,
+ "comparison": 1.6310616,
+ "chess": 0.4706727,
+ "last": 0.18144561,
+ "level": 0.15858713,
+ "format": 0.37812468,
+ "eric": 0.06087905,
+ "less": 1.0862563,
+ "sort": 0.0037436655,
+ "sha": 0.13895357,
+ "decrease": 0.13862152,
+ "plus": 6.8986457E-4,
+ "discrete": 1.9612118,
+ "core": 0.075575635,
+ "geometric": 0.31804115,
+ "decimal": 0.49363318,
+ "support": 0.70705426,
+ "algebraic": 0.16312979,
+ "largest": 0.3536846,
+ "boo": 0.48251218,
+ "code": 0.33233657,
+ "student": 0.13541232,
+ "nu": 0.50983095,
+ "provided": 0.12519859,
+ "representation": 0.19555058,
+ "percent": 0.09423642,
+ "symbols": 0.18374176,
+ "sql": 0.42900243,
+ "negative": 0.2469841,
+ "synonym": 0.004425019,
+ "operations": 0.17733198,
+ "uneven": 0.07315416,
+ "gap": 0.033088077,
+ "paradox": 0.16370806,
+ "lang": 0.11548639,
+ "class": 0.709475,
+ "or": 0.44588152,
+ "quantity": 0.024507536,
+ "equation": 0.10886756,
+ "command": 0.12898465,
+ "equal": 1.2173755,
+ "syntax": 1.0082299
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-binary-operators]]\n=== Binary operators\n\nThese binary comparison operators are supported:\n\n* equality: `==`\n* inequality: `!=`\n* less than: `<`\n* less than or equal: `<=`\n* larger than: `>`\n* larger than or equal: `>=`"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "b0f638a7-5778-457d-84f5-b2c7f4a537a9",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/case.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.48647094,
+ "##d": 0.50245255,
+ "functions": 0.1500711,
+ "criteria": 0.8227865,
+ "gage": 0.21076302,
+ "styled": 1.0594791,
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+ "program": 0.14665072,
+ "##l": 1.5563318,
+ "##n": 0.78563637,
+ "evaluation": 0.38597733,
+ "number": 0.40252244,
+ "java": 1.1017741,
+ "peg": 0.6474703,
+ "styling": 0.39081082,
+ "##t": 0.37033367,
+ "dev": 0.12287138,
+ "##v": 0.97934073,
+ "notation": 0.21934818,
+ "else": 0.0734556,
+ "xml": 0.054770585,
+ "merge": 1.608428,
+ "##x": 1.1758863,
+ "rank": 0.11578086,
+ "##space": 0.2615533,
+ "jerry": 0.35379767,
+ "text": 0.25329533,
+ "case": 1.7126112,
+ "flow": 0.2238899,
+ "algorithm": 0.5483245,
+ "gene": 0.1381539,
+ "%": 0.11037827,
+ "tex": 0.39157483,
+ "'": 0.2707761,
+ "(": 0.30132782,
+ "index": 0.6014756,
+ "*": 0.42263308,
+ "analysis": 0.48922506,
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+ "odd": 1.3126938,
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+ "doc": 0.7649359,
+ "style": 0.6845957,
+ "math": 0.6395083,
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+ "status": 0.31716093,
+ "components": 0.24094415,
+ "document": 0.034939133,
+ "pattern": 0.23169737,
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+ "matrix": 0.4040783,
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+ "x": 0.515202,
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+ "da": 0.16549611,
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+ "return": 0.8120144,
+ "first": 0.34516504,
+ "calculation": 0.21479562,
+ "ass": 0.17266226,
+ "checkpoint": 0.12956247,
+ "esq": 2.0036967,
+ "argument": 0.8737336,
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+ "constant": 0.032007087,
+ "tx": 0.7060081,
+ "data": 0.41594493,
+ "conditional": 0.19677086,
+ "dj": 0.2140209,
+ "anne": 0.60631,
+ "language": 0.09584401,
+ "source": 1.2407155,
+ "integer": 0.024073323,
+ "descriptions": 0.38599873,
+ "specifications": 0.33838218,
+ "spec": 1.254414,
+ "pairs": 0.58060455,
+ "trial": 0.15439554,
+ "operator": 0.024231464,
+ "ds": 0.3196472,
+ "apache": 0.4663043,
+ "function": 1.3389055,
+ "continuous": 0.83881795,
+ "dax": 0.318967,
+ "lap": 0.24252374,
+ "html": 0.2344807,
+ "tag": 0.37380034,
+ "buffer": 0.0027040606,
+ "ed": 0.5777558,
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+ "eh": 0.12244653,
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+ "archive": 0.033165116,
+ "sort": 0.21769585,
+ "sha": 0.03914181,
+ "discrete": 1.8930709,
+ "core": 0.21078281,
+ "sequence": 0.18255125,
+ "condition": 1.852249,
+ "true": 0.9782004,
+ "header": 0.52272654,
+ "parameters": 1.194987,
+ "no": 0.13622823,
+ "legacy": 0.5541201,
+ "code": 0.4195225,
+ "boo": 0.21522579,
+ "belong": 0.06263452,
+ "sources": 0.14011493,
+ "string": 0.06687618,
+ "student": 0.045574818,
+ "values": 0.85689014,
+ "nu": 0.17445281,
+ "cad": 0.110974945,
+ "description": 1.3631641,
+ "gil": 0.3319502,
+ "error": 0.31179368,
+ "non": 0.19448908,
+ "percent": 0.031973608,
+ "sql": 0.727943,
+ "sid": 0.57323027,
+ "mono": 0.1830781,
+ "##1": 0.22765216,
+ "database": 0.14303368,
+ "not": 0.057610173,
+ "array": 0.11857438,
+ "parameter": 0.6580425,
+ "define": 0.47633865,
+ "definition": 0.24359445,
+ "value": 1.3409799,
+ "class": 0.52067363,
+ "cases": 0.23341793,
+ "equation": 0.04146502,
+ "match": 1.0668087,
+ "false": 0.29540318,
+ "specification": 0.34208557,
+ "pair": 0.3768695,
+ "command": 0.03206897,
+ "corresponding": 1.225956,
+ "serial": 0.44535306,
+ "syntax": 1.5568588,
+ "formula": 0.19747208,
+ "arguments": 1.0309782,
+ "handling": 0.037059277,
+ "category": 0.22988841,
+ "pub": 0.08999715
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-case]]\n=== `CASE`\n\n*Syntax*\n\n[source,txt]\n----\nCASE(condition1, value1[, ..., conditionN, valueN][, default_value])\n----\n\n*Parameters*\n\n`conditionX`::\nA condition.\n\n`valueX`:: \nThe value that's returned when the corresponding condition is the first to\nevaluate to `true`.\n\n`default_value`::\nThe default value that's is returned when no condition matches.\n\n*Description*\n\nAccepts pairs of conditions and values. The function returns the value that\nbelongs to the first condition that evaluates to `true`.\n\nIf the number of arguments is odd, the last argument is the default value which\nis returned when no condition matches.\n\n*Example*\n\n[source,esql]\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=case]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=case-result]\n|===\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "d83756bf-d43c-4ac9-a309-71853f1b0e51",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/ceil.asciidoc"
+ },
+ "vector": {
+ "tokens": {
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+ "close": 0.38881293,
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+ "standard": 0.114692815,
+ "dd": 0.04198846,
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+ "dh": 0.37155405,
+ "numbers": 0.43931162,
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+ "nearest": 1.1929184,
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+ "image": 0.81334674,
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+ "batch": 0.09534575,
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+ "discrete": 1.8840195,
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+ "distance": 2.3910524E-4,
+ "classes": 0.078663,
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+ "text": 0.9706826,
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+ "images": 0.3081665,
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+ "cameron": 0.08668867,
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+ "script": 0.43997818,
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+ "binary": 0.062468786,
+ "style": 0.6739734,
+ "math": 1.439382,
+ "jude": 0.08583491,
+ "template": 0.03894921,
+ "signature": 1.4408609,
+ "jp": 0.15652543,
+ "pattern": 0.06739306,
+ "##arat": 0.46307427,
+ "file": 0.5107099,
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+ "mat": 0.022007301,
+ "heading": 0.049059834,
+ "display": 0.4604874,
+ "##id": 0.2914388,
+ "excel": 0.30068326,
+ "framework": 0.035934392,
+ "mathematical": 0.88473517,
+ "checkpoint": 0.13087451,
+ "esq": 2.0604134,
+ "data": 0.10267938,
+ "precision": 0.1702838,
+ "sign": 0.53324634,
+ "dice": 0.15780331,
+ "integer": 1.3646771,
+ "spec": 1.4739192,
+ "space": 0.34956196,
+ "protocol": 0.09980101,
+ "##il": 1.7212065,
+ "tab": 0.050405517,
+ "picked": 0.14460221,
+ "ala": 1.4554467,
+ "function": 0.9146397,
+ "continuous": 0.7940337,
+ "html": 0.776921,
+ "lap": 0.022239337,
+ "tag": 0.7925349,
+ "combine": 0.16255333,
+ "format": 1.046573,
+ "##ido": 1.2939473,
+ "archive": 0.07175178,
+ "sort": 0.5083336,
+ "picking": 0.6592888,
+ "tool": 0.25351286,
+ "tutor": 0.08334858,
+ "square": 0.5055976,
+ "core": 0.41731986,
+ "sequence": 0.26545998,
+ "jamie": 0.18839718,
+ "twice": 7.3358323E-4,
+ "##ida": 0.22253855,
+ "header": 1.0843008,
+ "no": 0.36156845,
+ "code": 0.02194841,
+ "student": 0.063129984,
+ "cad": 0.729262,
+ "gil": 0.23122089,
+ "percent": 0.25530317,
+ "platform": 0.066097505,
+ "database": 0.07578209,
+ "para": 0.098940894,
+ "array": 0.07648457,
+ "lang": 0.32142115,
+ "value": 0.76440096,
+ "keyboard": 0.39588347,
+ "determine": 0.094670385,
+ "equation": 0.16167688,
+ "command": 0.14363101,
+ "round": 1.5280367,
+ "inline": 1.3157959,
+ "serial": 0.5370388,
+ "unsigned": 1.0197368,
+ "closest": 1.4546033
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-ceil]]\n=== `CEIL`\n[.text-center]\nimage::esql/functions/signature/ceil.svg[Embedded,opts=inline]\n\nRound a number up to the nearest integer.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=ceil]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=ceil-result]\n|===\n\nNOTE: This is a noop for `long` (including unsigned) and `integer`.\n For `double` this picks the the closest `double` value to the integer ala\n {javadoc}/java.base/java/lang/Math.html#ceil(double)[Math.ceil].\n\nSupported types:\n\ninclude::types/ceil.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "3f57697a-e2a2-4087-b7da-3babdb0f7cfc",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/cidr_match.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.46095794,
+ "##l": 1.3288014,
+ "type": 0.69907254,
+ "fit": 0.28501198,
+ "##r": 1.5356476,
+ "compatible": 0.50386065,
+ "java": 0.93547094,
+ "peg": 0.49672574,
+ "##v": 0.63942,
+ "block": 1.1087843,
+ "jerry": 0.16628543,
+ "algorithm": 0.5722013,
+ "method": 0.03812094,
+ "hosts": 1.0128204,
+ "ip": 1.8586963,
+ "testing": 0.83625,
+ "'": 0.12362731,
+ "(": 0.29427722,
+ "19": 0.12940265,
+ "index": 0.7027724,
+ "matches": 0.9957361,
+ "script": 0.23924956,
+ "resistance": 0.018563466,
+ "accept": 0.58384705,
+ "/": 0.5756698,
+ "0": 0.44312292,
+ "provide": 0.7838058,
+ "127": 1.5564297,
+ "6": 0.13774161,
+ "128": 0.8662273,
+ "domain": 0.36031145,
+ "math": 0.40563995,
+ "=": 0.60473526,
+ "hash": 0.14442374,
+ "frank": 0.039682392,
+ "server": 0.45283,
+ "miscellaneous": 0.010141982,
+ "against": 1.2295942,
+ "pattern": 0.15602796,
+ "two": 0.7414735,
+ "virus": 0.23616645,
+ "matching": 1.0568691,
+ "anti": 0.1304338,
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+ "file": 0.17658712,
+ "julia": 0.049889304,
+ "ian": 0.099563524,
+ "verify": 0.3529148,
+ "where": 0.34767184,
+ "[": 0.5690027,
+ "fred": 0.28121418,
+ "]": 0.25953,
+ "32": 1.1980306,
+ "_": 1.1238501,
+ "editor": 0.053567495,
+ "chip": 0.19238716,
+ "address": 1.0081239,
+ "contain": 0.49588335,
+ "d": 0.32015002,
+ "display": 0.08186773,
+ "tennis": 0.37767968,
+ "bug": 0.28838763,
+ "v": 0.06212122,
+ "located": 0.37867835,
+ "cod": 0.3281112,
+ "returned": 0.49776015,
+ "da": 0.18027058,
+ "perry": 0.02560398,
+ "return": 0.739489,
+ "first": 0.21406767,
+ "supported": 0.5472431,
+ "checkpoint": 0.5790008,
+ "ass": 0.12741753,
+ "esq": 1.7503566,
+ "argument": 1.1520183,
+ "dice": 0.4195247,
+ "anne": 0.16772157,
+ "source": 0.057621766,
+ "operator": 0.05313114,
+ "protocol": 0.58687323,
+ "apache": 0.53531355,
+ "find": 0.028118314,
+ "continuous": 0.681056,
+ "function": 0.4486756,
+ "host": 0.9833807,
+ "lap": 0.01673458,
+ "buffer": 0.21276416,
+ "ur": 0.25474337,
+ "ed": 0.47224873,
+ "par": 0.18148509,
+ "which": 0.11260604,
+ "mp": 0.035947386,
+ "test": 1.3002766,
+ "format": 0.19072393,
+ "batch": 0.007289361,
+ "archive": 0.13399759,
+ "check": 0.4136654,
+ "list": 0.066911966,
+ "discrete": 1.8597391,
+ "core": 0.20167284,
+ "measure": 0.34101507,
+ "provision": 0.14415853,
+ "true": 1.0392202,
+ "retrieve": 0.023165662,
+ "parameters": 0.5178192,
+ "support": 0.21422799,
+ "cid": 2.1610074,
+ "next": 0.26449746,
+ "code": 0.28919542,
+ "string": 0.061563045,
+ "provided": 1.3363023,
+ "cad": 0.33604458,
+ "interface": 0.61161155,
+ "sid": 0.6971755,
+ "network": 0.5473088,
+ "sql": 0.119897,
+ "database": 0.28803563,
+ "##4": 0.7295177,
+ "array": 0.0031318448,
+ "##6": 0.7091834,
+ "parameter": 0.24569885,
+ "client": 0.5291609,
+ "class": 0.35134006,
+ "mask": 0.15880013,
+ "cipher": 0.021526968,
+ "blocks": 0.9507753,
+ "match": 2.0680525,
+ "false": 0.6034287,
+ "command": 0.30550432,
+ "probe": 0.48689175,
+ "target": 0.0042430614,
+ "contained": 0.80526954,
+ "serial": 0.49812046,
+ "syntax": 0.45673376,
+ "arguments": 1.1621557,
+ "handling": 0.0011704268,
+ "pub": 0.15628484
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-cidr_match]]\n=== `CIDR_MATCH`\n\nReturns `true` if the provided IP is contained in one of the provided CIDR\nblocks.\n\n`CIDR_MATCH` accepts two or more arguments. The first argument is the IP\naddress of type `ip` (both IPv4 and IPv6 are supported). Subsequent arguments\nare the CIDR blocks to test the IP against.\n\n[source,esql]\n----\nFROM hosts\n| WHERE CIDR_MATCH(ip, \"127.0.0.2/32\", \"127.0.0.3/32\")\n----\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "569013aa-eaff-4f37-8de6-6312d642a959",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/coalesce.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.7795811,
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+ "mod": 0.12389012,
+ "##d": 0.5979503,
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+ "gage": 0.3632806,
+ "fin": 0.22162339,
+ "styled": 1.277205,
+ "during": 0.16589408,
+ "##frame": 0.14014435,
+ "##l": 1.3953562,
+ "java": 0.8409979,
+ "peg": 0.5348274,
+ "##s": 0.22669578,
+ "styling": 0.7616508,
+ "dev": 0.21419075,
+ "##v": 1.1410971,
+ "notation": 0.24609971,
+ "xml": 0.14058982,
+ "merge": 1.6870923,
+ "record": 0.111476034,
+ "##space": 1.2027515,
+ "nan": 0.16231509,
+ "text": 0.0048615583,
+ "##es": 1.3268951,
+ "flow": 0.041890834,
+ "algorithm": 0.4286373,
+ "merging": 0.20833266,
+ "%": 0.8753325,
+ "gene": 0.39381346,
+ "'": 0.18685734,
+ "(": 0.18864745,
+ "index": 0.687638,
+ "inspired": 0.10436604,
+ "analysis": 0.4277386,
+ "-": 0.14682366,
+ "script": 0.43703514,
+ "tags": 0.3910046,
+ "/": 0.23176639,
+ "as": 0.07774535,
+ "integration": 0.32880396,
+ "style": 1.0250515,
+ "returns": 0.038950358,
+ "styles": 0.03341752,
+ "math": 0.33978695,
+ "=": 0.03753485,
+ "server": 0.045259956,
+ "statistical": 0.29101107,
+ "miscellaneous": 0.16556673,
+ "log": 0.14237086,
+ "pattern": 0.24735716,
+ "mid": 0.022575635,
+ "matrix": 0.1964382,
+ "virus": 0.006755608,
+ "result": 1.086634,
+ "##arat": 0.8420896,
+ "sd": 0.16485095,
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+ "heading": 0.43207216,
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+ "}": 0.53826785,
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+ "first": 0.9883426,
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+ "ds": 1.1588552,
+ "zero": 0.12813932,
+ "protocol": 0.015219393,
+ "apache": 0.46406528,
+ "tab": 0.102841586,
+ "separation": 0.02918742,
+ "continuous": 0.9669179,
+ "function": 0.36234167,
+ "html": 0.40339914,
+ "lap": 0.008252095,
+ "tag": 0.9360419,
+ "buffer": 0.3154089,
+ "results": 0.42000744,
+ "ed": 0.6026694,
+ "combine": 0.40444812,
+ "which": 0.18781732,
+ "par": 0.040728454,
+ "##se": 0.25122586,
+ "including": 0.6975912,
+ "chess": 0.09466334,
+ "last": 0.41911674,
+ "format": 1.0960573,
+ "batch": 0.23180997,
+ "archive": 0.3313861,
+ "includes": 0.052550055,
+ "sort": 0.27925262,
+ "sha": 0.28012276,
+ "discrete": 1.9659604,
+ "core": 0.5223807,
+ "sequence": 0.31164607,
+ "jamie": 0.024488924,
+ "null": 1.826321,
+ "coal": 1.9496031,
+ "header": 1.2848022,
+ "retrieve": 0.32575798,
+ "coin": 0.10255308,
+ "blank": 0.5279705,
+ "code": 0.2982627,
+ "formats": 0.13709897,
+ "string": 0.039608374,
+ "cad": 0.4081262,
+ "values": 0.39414996,
+ "gil": 0.29022956,
+ "non": 1.2156024,
+ "error": 0.3232754,
+ "interface": 0.29522857,
+ "inventory": 0.13864322,
+ "percent": 0.3274193,
+ "sid": 0.8403656,
+ "sql": 0.42646065,
+ "mono": 1.2288318,
+ "##ce": 1.4480677,
+ "database": 0.40476257,
+ "array": 0.122802325,
+ "bland": 0.40184924,
+ "value": 1.1161008,
+ "class": 0.49542758,
+ "included": 0.32279995,
+ "cipher": 0.13129665,
+ "length": 0.08463984,
+ "match": 0.06944835,
+ "specification": 0.67328954,
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+ "##ed": 0.088165455,
+ "serial": 0.67967564,
+ "syntax": 0.43492258,
+ "pub": 0.15814258,
+ "merger": 0.25184286
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-coalesce]]\n=== `COALESCE`\n\nReturns the first non-null value.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/null.csv-spec[tag=coalesce]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/null.csv-spec[tag=coalesce-result]\n|===\n"
+ }
+ },
+ {
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+ "preserve": 0.012328019,
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+ "discrete": 2.0300052,
+ "sequence": 0.5009065,
+ "core": 0.27807176,
+ "twice": 0.0033681826,
+ "keep": 1.0610437,
+ "colleagues": 0.33802736,
+ "name": 0.6108777,
+ "overall": 0.21011618,
+ "employees": 1.3403791,
+ "decimal": 0.1003541,
+ "full": 1.0909071,
+ "code": 0.36052626,
+ "string": 1.2818365,
+ "import": 0.18229239,
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+ "cad": 0.34367517,
+ "##lc": 0.0017400138,
+ "storage": 0.23260649,
+ "gil": 0.17080449,
+ "inventory": 0.43798175,
+ "interface": 0.35599306,
+ "##da": 0.44172993,
+ "sid": 0.75512445,
+ "sql": 0.6381915,
+ "eva": 1.7411474,
+ "database": 0.34914267,
+ "##ci": 0.26886708,
+ "cat": 0.5768062,
+ "alias": 0.1999026,
+ "##lib": 0.17518416,
+ "row": 0.07566395,
+ "lang": 0.656384,
+ "class": 0.49223977,
+ "mask": 0.34630954,
+ "cipher": 0.35303792,
+ "keyboard": 0.3996446,
+ "spelling": 0.21612205,
+ "length": 0.4591934,
+ "multiple": 0.40999568,
+ "separated": 0.06028584,
+ "control": 0.19941306,
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+ "serial": 0.60734123,
+ "heights": 0.5665591,
+ "inherited": 0.22405447,
+ "##ls": 0.02944141,
+ "syntax": 0.78304255,
+ "pub": 0.2763275
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-concat]]\n=== `CONCAT`\nConcatenates two or more strings.\n\n[source,esql]\n----\nFROM employees\n| KEEP first_name, last_name, height\n| EVAL fullname = CONCAT(first_name, \" \", last_name)\n----\n"
+ }
+ },
+ {
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+ "ed": 0.70345175,
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+ "otherwise": 0.35678262,
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+ "test": 0.10410923,
+ "format": 0.3737649,
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+ "##ido": 1.555356,
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+ "expressions": 1.3017205,
+ "plus": 0.21077615,
+ "##ca": 0.10972763,
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+ "parameters": 0.05628768,
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+ "gil": 0.0022800183,
+ "title": 0.36833182,
+ "symbols": 0.035763945,
+ "sql": 0.27635643,
+ "sid": 0.1682731,
+ "##ce": 0.852609,
+ "para": 0.2561445,
+ "array": 0.17332275,
+ "##ci": 1.3560748,
+ "end": 0.2859068,
+ "##lib": 0.22070566,
+ "david": 0.1905597,
+ "compiler": 0.25093773,
+ "lang": 0.09771296,
+ "class": 0.6287078,
+ "greatest": 1.5302229,
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+ "inherited": 0.023002693,
+ "syntax": 0.8999698,
+ "arguments": 0.93980205,
+ "pub": 0.63754207
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-conditional-functions-and-expressions]]\n==== {esql} conditional functions and expressions\n\n++++\nConditional functions and expressions\n++++\n\nConditional functions return one of their arguments by evaluating in an if-else\nmanner. {esql} supports these conditional functions:\n\n// tag::cond_list[]\n* <>\n* <>\n* <>\n* <>\n// end::cond_list[]\n\ninclude::case.asciidoc[]\ninclude::coalesce.asciidoc[]\ninclude::greatest.asciidoc[]\ninclude::least.asciidoc[]\n"
+ }
+ },
+ {
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+ "inline": 1.0773681,
+ "online": 0.12891884,
+ "formula": 0.06349599,
+ "pub": 0.057138313
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-cos]]\n=== `COS`\n[.text-center]\nimage::esql/functions/signature/cos.svg[Embedded,opts=inline]\n\nhttps://en.wikipedia.org/wiki/Sine_and_cosine[Cosine] trigonometric function.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/floats.csv-spec[tag=cos]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/floats.csv-spec[tag=cos-result]\n|===\n\nSupported types:\n\ninclude::types/cos.asciidoc[]\n"
+ }
+ },
+ {
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+ "inline": 1.1363231,
+ "formula": 0.0035562387,
+ "pub": 0.048740502
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-cosh]]\n=== `COSH`\n[.text-center]\nimage::esql/functions/signature/cosh.svg[Embedded,opts=inline]\n\nhttps://en.wikipedia.org/wiki/Hyperbolic_functions[Cosine] hyperbolic function.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/floats.csv-spec[tag=cosh]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/floats.csv-spec[tag=cosh-result]\n|===\n\nSupported types:\n\ninclude::types/cosh.asciidoc[]\n"
+ }
+ },
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+ "tally": 0.4837897,
+ "demographics": 0.25048313
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-agg-count]]\n=== `COUNT`\nCounts field values.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/stats.csv-spec[tag=count]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/stats.csv-spec[tag=count-result]\n|===\n\nCan take any field type as input and the result is always a `long` not matter\nthe input type.\n\nTo count the number of rows, use `COUNT(*)`:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=countAll]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=countAll-result]\n|==="
+ }
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+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/count_distinct.asciidoc"
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+ "##id": 0.5341684,
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+ "data": 0.56402075,
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+ "cloud": 0.08241809,
+ "high": 0.7225682,
+ "function": 1.119038,
+ "continuous": 0.9467914,
+ "html": 0.27247125,
+ "lap": 0.09082156,
+ "tag": 1.1104261,
+ "buffer": 0.19770072,
+ "hyper": 0.57120633,
+ "counting": 0.46263167,
+ "including": 0.54299307,
+ "mp": 0.22745392,
+ "read": 0.022367226,
+ "format": 0.9219477,
+ "##ido": 1.4884253,
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+ "unit": 0.12615338,
+ "##ida": 0.33392906,
+ "header": 0.9486156,
+ "differentiation": 0.5236006,
+ "code": 0.05013809,
+ "configuration": 0.39296234,
+ "values": 0.8694517,
+ "link": 0.12573297,
+ "distinct": 1.4742044,
+ "scale": 0.19662242,
+ "##lit": 0.07847687,
+ "gil": 0.08304286,
+ "percent": 0.22534154,
+ "aggregate": 0.49321824,
+ "sql": 0.39384392,
+ "network": 0.17150898,
+ "database": 0.4716459,
+ "total": 0.37323982,
+ "computing": 0.30356488,
+ "array": 0.18906216,
+ "parameter": 0.5553057,
+ "of": 0.0033254107,
+ "define": 0.014222097,
+ "##lib": 0.19545744,
+ "value": 0.77914673,
+ "included": 0.3447118,
+ "equation": 0.023300884,
+ "clear": 0.41244504,
+ "harold": 0.07314463,
+ "distinguished": 0.24236453,
+ "serial": 0.29804724,
+ "##user": 0.09617745,
+ "user": 0.13613096,
+ "properties": 0.40703022
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-agg-count-distinct]]\n=== `COUNT_DISTINCT`\nThe approximate number of distinct values.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/stats_count_distinct.csv-spec[tag=count-distinct]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/stats_count_distinct.csv-spec[tag=count-distinct-result]\n|===\n\nCan take any field type as input and the result is always a `long` not matter\nthe input type.\n\n[discrete]\n==== Counts are approximate\n\nComputing exact counts requires loading values into a set and returning its\nsize. This doesn't scale when working on high-cardinality sets and/or large\nvalues as the required memory usage and the need to communicate those\nper-shard sets between nodes would utilize too many resources of the cluster.\n\nThis `COUNT_DISTINCT` function is based on the\nhttps://static.googleusercontent.com/media/research.google.com/fr//pubs/archive/40671.pdf[HyperLogLog++]\nalgorithm, which counts based on the hashes of the values with some interesting\nproperties:\n\ninclude::../../aggregations/metrics/cardinality-aggregation.asciidoc[tag=explanation]\n\n[discrete]\n==== Precision is configurable\n\nThe `COUNT_DISTINCT` function takes an optional second parameter to configure the\nprecision discussed previously.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/stats_count_distinct.csv-spec[tag=count-distinct-precision]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/stats_count_distinct.csv-spec[tag=count-distinct-precision-result]\n|===\n"
+ }
+ },
+ {
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+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/date_extract.asciidoc"
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+ "index": 0.59146833,
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+ "##ction": 0.21585482,
+ "##arat": 0.857697,
+ "file": 0.61086166,
+ "julia": 0.30251652,
+ "table": 0.049496498,
+ "editor": 0.5446349,
+ "include": 0.43465462,
+ "display": 0.22058184,
+ "excel": 0.3598509,
+ "framework": 0.16331388,
+ "fetch": 0.14840014,
+ "report": 0.10825733,
+ "cod": 0.026244942,
+ "date": 1.6433386,
+ "esq": 1.9356128,
+ "data": 0.69997597,
+ "dice": 0.37759987,
+ "spec": 1.4946923,
+ "space": 0.5024101,
+ "protocol": 0.029512132,
+ "tab": 0.23972973,
+ "continuous": 0.9287573,
+ "##field": 0.12552102,
+ "html": 0.7689611,
+ "lap": 0.12584114,
+ "dax": 0.0022978587,
+ "tag": 0.73796374,
+ "buffer": 0.29707202,
+ "day": 0.6798504,
+ "bean": 0.2311312,
+ "combine": 0.17192143,
+ "like": 0.055827595,
+ "format": 1.0765654,
+ "capture": 0.4018955,
+ "archive": 0.6507072,
+ "clock": 0.50702703,
+ "sort": 0.2234893,
+ "tool": 0.19830559,
+ "sequence": 0.3331907,
+ "jamie": 0.28326002,
+ "core": 0.2770884,
+ "header": 0.8878867,
+ "retrieve": 0.546518,
+ "birthday": 0.033614997,
+ "code": 0.018131932,
+ "part": 0.61919457,
+ "cad": 0.21048789,
+ "exile": 0.21693094,
+ "link": 0.03225459,
+ "gil": 0.09887859,
+ "platform": 0.068280175,
+ "sql": 0.30178767,
+ "database": 0.6402636,
+ "hour": 0.79119533,
+ "of": 0.048011437,
+ "dated": 0.5448083,
+ "##lib": 0.042552065,
+ "recover": 0.007947253,
+ "command": 0.07464862,
+ "serial": 0.64988256
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-date_extract]]\n=== `DATE_EXTRACT`\nExtracts parts of a date, like year, month, day, hour.\nThe supported field types are those provided by https://docs.oracle.com/javase/8/docs/api/java/time/temporal/ChronoField.html[java.time.temporal.ChronoField].\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=dateExtract]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=dateExtract-result]\n|===\n\n"
+ }
+ },
+ {
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+ "_id": "50c35413-cae8-41f0-b913-529d2cb0bed6",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/date_format.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##d": 0.24021521,
+ "software": 0.19548528,
+ "year": 0.3773423,
+ "maintain": 0.035748877,
+ "##h": 0.928229,
+ "ya": 0.5007831,
+ "during": 0.0049489858,
+ "##l": 1.5798621,
+ "years": 0.019095752,
+ "without": 0.003384578,
+ "java": 0.7612738,
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+ "len": 0.04920216,
+ "notation": 0.23908813,
+ "record": 0.50068533,
+ "##y": 1.1528218,
+ "hired": 1.324662,
+ "##z": 0.2615732,
+ "jerry": 0.37837327,
+ "enter": 0.25002563,
+ "yu": 0.16146511,
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+ "period": 0.5010841,
+ "in": 0.035176817,
+ "'": 0.35488677,
+ "specify": 0.89479226,
+ "(": 0.11121507,
+ "index": 0.5814612,
+ "dates": 1.2857224,
+ "-": 0.39897308,
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+ "field": 0.2103632,
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+ "math": 0.21506947,
+ "=": 0.6171653,
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+ "[": 0.9509414,
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+ "_": 1.1625202,
+ "ss": 1.2054045,
+ "calendar": 0.012122174,
+ "editor": 0.059506852,
+ "address": 0.08635434,
+ "d": 0.4234711,
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+ "h": 0.84416634,
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+ "first": 0.13291728,
+ "discreet": 0.106571116,
+ "entity": 0.042587593,
+ "represent": 0.5792697,
+ "date": 1.8337035,
+ "dd": 1.3681309,
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+ "used": 0.27019334,
+ "integer": 0.11730937,
+ "employee": 1.287747,
+ "operator": 0.081415206,
+ "protocol": 0.011280567,
+ "apache": 0.28201547,
+ "tab": 0.1307193,
+ "continuous": 0.880582,
+ "function": 0.5191972,
+ "lap": 0.46560326,
+ "from": 0.08739456,
+ "ren": 0.051943053,
+ "buffer": 0.12951241,
+ "day": 0.3638095,
+ "ed": 0.78281033,
+ "mm": 1.3225605,
+ "which": 0.15205756,
+ "par": 0.079604365,
+ "given": 0.15438849,
+ "last": 0.63077927,
+ "format": 1.7615905,
+ "batch": 0.3996451,
+ "archive": 0.26598895,
+ "list": 0.22918235,
+ "discrete": 1.9999629,
+ "julian": 0.14819705,
+ "sequence": 0.24166451,
+ "core": 0.14210097,
+ "month": 0.24466364,
+ "recruit": 0.035773605,
+ "keep": 0.99853575,
+ "colleagues": 0.09241041,
+ "name": 0.07626203,
+ "retrieve": 0.22747338,
+ "budapest": 0.45528218,
+ "employees": 1.2060668,
+ "job": 0.58982307,
+ "decimal": 0.36408827,
+ "fields": 0.1532212,
+ "formats": 1.0548159,
+ "code": 0.3539064,
+ "blank": 0.27323768,
+ "memory": 0.16313334,
+ "hire": 1.5087233,
+ "string": 1.2879165,
+ "import": 0.064772345,
+ "provided": 1.3692918,
+ "nu": 0.28190532,
+ "cad": 0.2764593,
+ "storage": 0.39950007,
+ "gil": 0.13583815,
+ "inventory": 0.19369815,
+ "interface": 0.02656852,
+ "representation": 1.2148728,
+ "sid": 0.57745445,
+ "sql": 0.55777603,
+ "eva": 1.6476496,
+ "database": 0.34071523,
+ "##sz": 1.5754901,
+ "dated": 0.49192506,
+ "sheet": 0.16755715,
+ "##lib": 0.026048098,
+ "class": 0.18020867,
+ "keyboard": 0.009559569,
+ "command": 0.16363609,
+ "structure": 0.053463314,
+ "serial": 0.7493385,
+ "management": 0.058776937,
+ "syntax": 0.6796479,
+ "time": 0.22993122,
+ "pub": 0.4196394
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-date_format]]\n=== `DATE_FORMAT`\nReturns a string representation of a date in the provided format. If no format\nis specified, the `yyyy-MM-dd'T'HH:mm:ss.SSSZ` format is used.\n\n[source,esql]\n----\nFROM employees\n| KEEP first_name, last_name, hire_date\n| EVAL hired = DATE_FORMAT(\"YYYY-MM-dd\", hire_date)\n----\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "3a03618d-cc02-4ab9-95c8-c92e189c9e1f",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/date_parse.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##d": 0.5240531,
+ "software": 0.0071307686,
+ "year": 0.25889483,
+ "##e": 0.22529559,
+ "styled": 0.8900138,
+ "texas": 0.5301588,
+ "program": 0.35911822,
+ "##l": 1.4822227,
+ "java": 1.5554732,
+ "peg": 0.64615494,
+ "##t": 0.16590346,
+ "styling": 0.03993533,
+ "##v": 0.90307087,
+ "notation": 0.013464002,
+ "merge": 1.2841324,
+ "record": 0.18837309,
+ "##space": 0.2476254,
+ "nan": 0.026166558,
+ "api": 1.0299152,
+ "jerry": 0.36480144,
+ "text": 0.19600311,
+ "if": 0.32427946,
+ "period": 0.23178673,
+ "14": 0.549773,
+ "tex": 0.37023908,
+ "(": 0.23619817,
+ "index": 0.39530143,
+ "dates": 1.1657875,
+ "*": 0.074275486,
+ "analysis": 0.087301925,
+ "script": 0.31947806,
+ "##sing": 0.6171801,
+ "doc": 0.81457067,
+ "style": 0.5647542,
+ "math": 0.32040444,
+ "jude": 0.28393152,
+ "log": 0.11887874,
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+ "ass": 0.10452336,
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+ "argument": 0.8066914,
+ "tx": 0.7110886,
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+ "function": 1.251718,
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+ "html": 0.42370805,
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+ "##se": 1.4447209,
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+ "null": 1.6348042,
+ "header": 0.2990148,
+ "parameters": 1.0081115,
+ "##par": 1.4178451,
+ "formats": 0.65022445,
+ "blank": 0.4698594,
+ "code": 0.14839418,
+ "string": 1.1376305,
+ "import": 0.11787946,
+ "description": 1.012762,
+ "gil": 0.24907908,
+ "error": 0.14793696,
+ "sid": 0.45705587,
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+ "array": 0.005942534,
+ "parameter": 0.41650692,
+ "define": 0.21800284,
+ "dated": 0.6021228,
+ "dating": 0.087503895,
+ "class": 0.118961826,
+ "specification": 0.10121203,
+ "spread": 0.31424046,
+ "##time": 1.0442551,
+ "##form": 1.4244615,
+ "serial": 0.74705064,
+ "syntax": 1.4206848,
+ "arguments": 0.19819443,
+ "time": 1.0225493,
+ "pub": 0.06586896,
+ "##ser": 0.06254885,
+ "base": 0.13360831
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-date_parse]]\n=== `DATE_PARSE`\n\n*Syntax*\n\n[source,txt]\n----\nDATE_PARSE([format,] date_string)\n----\n\n*Parameters*\n\n`format`::\nThe date format. Refer to the\nhttps://docs.oracle.com/en/java/javase/14/docs/api/java.base/java/time/format/DateTimeFormatter.html[`DateTimeFormatter`\ndocumentation] for the syntax. If `null`, the function returns `null`.\n\n`date_string`::\nDate expression as a string. If `null` or an empty string, the function returns\n`null`.\n\n*Description*\n\nReturns a date by parsing the second argument using the format specified in the\nfirst argument.\n\n*Example*\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=dateParse]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=dateParse-result]\n|===\n"
+ }
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+ "support": 0.18731105,
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+ "formats": 0.43441623,
+ "code": 0.108428486,
+ "import": 0.0911409,
+ "cad": 0.43223947,
+ "title": 0.4213816,
+ "interface": 0.11306384,
+ "sid": 0.5831532,
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+ "timer": 0.2669607,
+ "database": 0.44644806,
+ "times": 0.20355113,
+ "array": 0.094877705,
+ "##ci": 1.2614391,
+ "now": 1.0260626,
+ "today": 0.053334706,
+ "dated": 0.24543999,
+ "david": 0.16038598,
+ "##lib": 0.13180919,
+ "class": 0.30059987,
+ "keyboard": 0.21068539,
+ "##un": 1.2412827,
+ "automatic": 0.49914873,
+ "serial": 0.8959572,
+ "syntax": 0.47010282,
+ "time": 1.2888935,
+ "pub": 0.42580938
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-date-time-functions]]\n==== {esql} date-time functions\n\n++++\nDate-time functions\n++++\n\n{esql} supports these date-time functions:\n\n// tag::date_list[]\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n// end::date_list[]\n\ninclude::auto_bucket.asciidoc[]\ninclude::date_extract.asciidoc[]\ninclude::date_format.asciidoc[]\ninclude::date_parse.asciidoc[]\ninclude::date_trunc.asciidoc[]\ninclude::now.asciidoc[]\n"
+ }
+ },
+ {
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+ "sequence": 0.34679854,
+ "core": 0.1902758,
+ "intervals": 1.7103755,
+ "unit": 0.007853464,
+ "month": 0.09111489,
+ "colleagues": 0.109915294,
+ "employees": 1.1781505,
+ "decimal": 0.32255226,
+ "job": 0.3018543,
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+ "hire": 1.3925694,
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+ "cad": 0.2501761,
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+ "inventory": 0.28541306,
+ "percent": 0.26137778,
+ "sql": 0.54374325,
+ "sid": 0.4090697,
+ "eva": 1.6804065,
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+ "along": 0.31110117,
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+ "sorting": 0.3326817,
+ "define": 0.1870298,
+ "dated": 0.26367998,
+ "paradox": 0.1655745,
+ "predict": 0.027454311,
+ "##lib": 0.083595864,
+ "class": 0.25842136,
+ "cipher": 0.008435216,
+ "equation": 0.24890928,
+ "length": 0.18742877,
+ "##un": 1.614464,
+ "rhythm": 0.16727754,
+ "schedule": 0.34726,
+ "round": 1.1923615,
+ "serial": 0.4985716,
+ "pe": 0.29028982,
+ "management": 0.010784085,
+ "syntax": 1.2249633,
+ "formula": 0.29006028,
+ "time": 0.90534794,
+ "tally": 0.0053524524,
+ "closest": 1.2594975,
+ "demographics": 0.20588687
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-date_trunc]]\n=== `DATE_TRUNC`\nRounds down a date to the closest interval. Intervals can be expressed using the\n<>.\n\n[source,esql]\n----\nFROM employees\n| EVAL year_hired = DATE_TRUNC(1 year, hire_date)\n| STATS count(emp_no) BY year_hired\n| SORT year_hired\n----\n"
+ }
+ },
+ {
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+ "serial": 0.45465502,
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+ "merger": 0.013451653
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-e]]\n=== `E`\n[.text-center]\nimage::esql/functions/signature/e.svg[Embedded,opts=inline]\n\n{wikipedia}/E_(mathematical_constant)[Euler's number].\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=e]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=e-result]\n|===\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "4c235758-5f72-43fb-adec-7e6bed4080a0",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/ends_with.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.105726995,
+ "##c": 0.5623893,
+ "functions": 0.8678119,
+ "##d": 0.55602217,
+ "##g": 1.0600777,
+ "fin": 0.15938048,
+ "styled": 0.98613304,
+ "##frame": 0.04229007,
+ "##l": 1.60367,
+ "elmer": 0.32453343,
+ "java": 0.8243853,
+ "##s": 0.23739037,
+ "styling": 0.48801035,
+ "##v": 1.138866,
+ "xml": 0.17938365,
+ "jan": 0.12844938,
+ "merge": 1.5412955,
+ "api": 0.07936875,
+ "##lean": 1.2956932,
+ "%": 0.5965897,
+ "'": 0.13437013,
+ "(": 0.0050569247,
+ "analysis": 0.11414154,
+ "-": 0.27718925,
+ "tags": 0.36455134,
+ "/": 0.24488425,
+ "as": 0.25708327,
+ "functional": 0.08511795,
+ "miscellaneous": 0.19841763,
+ "another": 0.6035931,
+ "matrix": 0.09774982,
+ "virus": 0.14528675,
+ "matching": 0.35403433,
+ "result": 0.7309267,
+ "search": 0.117039956,
+ "encryption": 0.13682039,
+ "vector": 0.4748579,
+ "where": 0.078384615,
+ "[": 0.58915544,
+ "fred": 0.3845826,
+ "embedded": 1.5052351,
+ "graphic": 0.7068196,
+ "]": 0.053814128,
+ "key": 0.8690339,
+ "_": 0.97501904,
+ "sep": 0.2644062,
+ "sami": 0.17740007,
+ "sv": 1.2042667,
+ "contain": 0.22748801,
+ "d": 0.03299535,
+ "sex": 0.29894337,
+ "words": 0.17980112,
+ "cs": 1.3274664,
+ "rachel": 0.012835505,
+ "collaboration": 0.0032632693,
+ "##uation": 0.16276,
+ "returned": 0.4821981,
+ "|": 0.27273032,
+ "}": 0.3760477,
+ "da": 0.28607032,
+ "supported": 0.9300773,
+ "font": 0.21571735,
+ "standard": 0.21690542,
+ "ass": 0.21059625,
+ "dd": 0.02782944,
+ "dh": 0.28571618,
+ "anne": 0.7132669,
+ "language": 0.031101517,
+ "source": 0.67330754,
+ "specifications": 0.63341755,
+ "ds": 1.0509571,
+ "apache": 0.40118158,
+ "results": 0.07676569,
+ "ed": 0.613736,
+ "termination": 0.16937377,
+ "image": 0.78014076,
+ "eh": 0.057309095,
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+ "sha": 0.3049206,
+ "discrete": 1.8733805,
+ "opt": 1.5774533,
+ "ex": 0.20890133,
+ "##word": 1.4553723,
+ "final": 0.0263383,
+ "support": 0.53728306,
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+ "formats": 0.32464296,
+ "string": 1.3416668,
+ "interface": 0.32775763,
+ "##son": 0.0860234,
+ "sid": 0.5699142,
+ "mono": 0.9637978,
+ "##ci": 1.2257991,
+ "ends": 1.4391932,
+ "end": 1.2852834,
+ "class": 0.3537422,
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+ "types": 1.168599,
+ "center": 0.64696133,
+ "length": 0.42052662,
+ "multiple": 0.22597557,
+ "specification": 0.7733684,
+ "with": 1.5367751,
+ "##with": 1.7908268,
+ "syntax": 0.5185422,
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+ "mark": 0.013164509,
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+ "education": 0.039255865,
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+ "gage": 0.21954249,
+ "during": 0.059820518,
+ "type": 0.8272508,
+ "signatures": 0.48253924,
+ "compatible": 0.029035158,
+ "peg": 0.71634847,
+ "##space": 0.9329732,
+ "text": 0.969817,
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+ "images": 0.16081755,
+ "gene": 0.5151977,
+ "specify": 0.10350028,
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+ "signed": 0.5475729,
+ "script": 0.46106252,
+ "integration": 0.022806957,
+ "style": 0.7594932,
+ "math": 0.20959276,
+ "jude": 0.32023126,
+ "status": 0.059649605,
+ "template": 0.1320125,
+ "other": 0.021041734,
+ "signature": 1.4717985,
+ "log": 0.00736711,
+ "jp": 0.3032481,
+ "pattern": 0.42710465,
+ "##arat": 0.6309701,
+ "valid": 0.13455522,
+ "file": 0.52969944,
+ "strings": 0.005412211,
+ "course": 5.9825164E-4,
+ "eddy": 0.14016218,
+ "include": 1.0114372,
+ "editor": 0.64653486,
+ "within": 0.039747123,
+ "display": 0.46783862,
+ "##id": 0.76246274,
+ "excel": 0.080557376,
+ "ended": 0.5943229,
+ "cod": 0.120540544,
+ "return": 0.58608234,
+ "discreet": 0.11649835,
+ "indicator": 0.418753,
+ "checkpoint": 0.31260678,
+ "esq": 2.0684266,
+ "data": 0.22700134,
+ "sign": 0.17804407,
+ "dice": 0.03499335,
+ "spec": 1.8063179,
+ "space": 0.28883755,
+ "protocol": 0.070136406,
+ "tab": 0.006256044,
+ "whether": 0.2907602,
+ "function": 0.97224337,
+ "continuous": 0.71668065,
+ "html": 0.49541292,
+ "lap": 0.023410238,
+ "tag": 0.88624495,
+ "buffer": 0.08582507,
+ "including": 0.534905,
+ "format": 0.9963272,
+ "##ido": 1.6581621,
+ "archive": 0.30338472,
+ "finished": 0.09680787,
+ "includes": 0.019351732,
+ "sort": 0.1750719,
+ "tool": 0.014264522,
+ "ending": 0.6172531,
+ "jamie": 0.40467954,
+ "core": 0.24439591,
+ "sequence": 0.105392,
+ "##ida": 0.11098049,
+ "header": 1.1000891,
+ "retrieve": 0.20598623,
+ "##words": 0.6524394,
+ "boo": 1.2482008,
+ "code": 0.28134683,
+ "differentiation": 0.01816202,
+ "keys": 0.30782658,
+ "cad": 0.2196157,
+ "gil": 0.27449718,
+ "percent": 0.1548148,
+ "sql": 0.15341878,
+ "database": 0.03687259,
+ "para": 0.2040437,
+ "predict": 0.23247997,
+ "included": 0.36021492,
+ "chance": 0.10042494,
+ "determine": 0.14409381,
+ "match": 0.51535136,
+ "cross": 0.009055734,
+ "exactly": 0.28286102,
+ "command": 0.17456384,
+ "inline": 1.4015226,
+ "serial": 0.7513744
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-ends_with]]\n=== `ENDS_WITH`\n[.text-center]\nimage::esql/functions/signature/ends_with.svg[Embedded,opts=inline]\n\nReturns a boolean that indicates whether a keyword string ends with another\nstring:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=endsWith]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=endsWith-result]\n|===\n\nSupported types:\n\ninclude::types/ends_with.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "da0e8bf5-8df9-43d5-ab4a-99d730955433",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/floor.asciidoc"
+ },
+ "vector": {
+ "tokens": {
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+ "tex": 0.010154136,
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+ "-": 0.23784824,
+ "tags": 0.28254375,
+ "/": 0.05494843,
+ "cue": 0.13634744,
+ "size": 0.052704096,
+ "guess": 0.007612505,
+ "rounded": 0.38567755,
+ "miscellaneous": 0.010134784,
+ "sum": 8.747327E-4,
+ "matrix": 0.18204579,
+ "two": 0.24784082,
+ "long": 1.0694261,
+ "result": 0.8792695,
+ "##op": 1.4735242,
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+ "vector": 0.52939737,
+ "[": 0.50631124,
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+ "embedded": 1.3912212,
+ "graphic": 0.76781094,
+ "close": 0.35739127,
+ "_": 0.43494418,
+ "sep": 0.18402007,
+ "sami": 0.12592469,
+ "sv": 1.1829997,
+ "d": 0.089347385,
+ "column": 0.3723721,
+ "rounding": 0.9842478,
+ "j": 0.3222218,
+ "closer": 0.11407432,
+ "cs": 1.1745197,
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+ "|": 0.06268434,
+ "chart": 0.21239203,
+ "rounds": 0.86143994,
+ "supported": 0.5386866,
+ "font": 0.21417053,
+ "calculation": 0.1769765,
+ "dd": 0.03795695,
+ "symbol": 0.03714049,
+ "dh": 0.34197873,
+ "numbers": 0.5342732,
+ "anne": 0.5317615,
+ "source": 0.11637007,
+ "nearest": 1.1885111,
+ "down": 0.7963096,
+ "specifications": 0.511267,
+ "ds": 0.9700733,
+ "ata": 0.32603127,
+ "apache": 0.32495034,
+ "ed": 0.4240104,
+ "##ap": 0.07660847,
+ "par": 0.18275255,
+ "image": 0.7398741,
+ "chess": 0.40452084,
+ "sha": 0.1526786,
+ "discrete": 1.8007267,
+ "opt": 1.1901319,
+ "geometric": 0.40828368,
+ "decimal": 0.3895611,
+ "support": 0.19882578,
+ "opted": 0.009953745,
+ "formats": 0.272808,
+ "distance": 0.1948584,
+ "string": 0.041804407,
+ "video": 0.20675616,
+ "interface": 0.25871584,
+ "sid": 0.61740726,
+ "mono": 1.0797637,
+ "##ci": 1.0049274,
+ "class": 0.4170363,
+ "digital": 0.087385386,
+ "types": 0.8844576,
+ "center": 0.57397497,
+ "length": 0.17455022,
+ "specification": 0.4056636,
+ "room": 0.87257653,
+ "layout": 0.19521965,
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+ "##do": 0.8609882,
+ "pub": 0.18598473,
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+ "select": 0.5224658,
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+ "gage": 0.09416969,
+ "pun": 0.0394562,
+ "arithmetic": 0.0630982,
+ "during": 0.078021705,
+ "type": 0.5604433,
+ "signatures": 0.43850583,
+ "integers": 0.4290257,
+ "number": 0.9075692,
+ "compatible": 0.0146617815,
+ "peg": 0.4248034,
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+ "text": 0.9714296,
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+ "algorithm": 0.5140158,
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+ "shape": 0.32474428,
+ "double": 1.5239253,
+ "index": 0.61945957,
+ "signed": 0.47780067,
+ "script": 0.36905146,
+ "doubles": 0.5286085,
+ "style": 0.6783442,
+ "math": 1.4461504,
+ "template": 0.16855113,
+ "longest": 0.10966139,
+ "signature": 1.4352275,
+ "log": 0.03394023,
+ "jp": 0.24615237,
+ "pattern": 0.20872816,
+ "##arat": 0.52367425,
+ "computer": 0.1559681,
+ "file": 0.50217956,
+ "composed": 0.04671509,
+ "table": 0.26730534,
+ "editor": 0.53191507,
+ "mat": 0.3109712,
+ "include": 0.25256497,
+ "heading": 0.047966667,
+ "display": 0.45074925,
+ "##id": 0.3291417,
+ "consolidation": 0.04291392,
+ "excel": 0.26314273,
+ "framework": 0.010598798,
+ "machine": 0.123954885,
+ "mathematical": 0.8873494,
+ "checkpoint": 0.16299833,
+ "esq": 2.0398118,
+ "data": 0.06753101,
+ "precision": 0.07797285,
+ "sign": 0.38422891,
+ "integer": 1.3431132,
+ "spec": 1.4943894,
+ "space": 0.46400502,
+ "protocol": 0.012642241,
+ "ala": 1.2783264,
+ "function": 0.8725768,
+ "continuous": 0.6659622,
+ "html": 0.8865139,
+ "lap": 0.13258481,
+ "tag": 0.8255684,
+ "buffer": 0.060707644,
+ "combine": 0.051090483,
+ "level": 0.5456107,
+ "format": 0.99229544,
+ "##ido": 1.3642088,
+ "archive": 0.17607594,
+ "sort": 0.51708084,
+ "picking": 0.532227,
+ "square": 0.47652522,
+ "core": 0.34859324,
+ "sequence": 0.33960548,
+ "jamie": 0.12227882,
+ "unit": 0.023053601,
+ "##ida": 0.3059386,
+ "header": 1.0428314,
+ "no": 0.46442333,
+ "code": 0.033531882,
+ "student": 0.10211035,
+ "mathematics": 0.09793402,
+ "cad": 0.66269535,
+ "percent": 0.16900668,
+ "platform": 0.119669,
+ "database": 0.04793917,
+ "floors": 1.5850388,
+ "along": 0.06287344,
+ "sheet": 0.12757726,
+ "##lib": 0.037503965,
+ "floor": 2.4205565,
+ "lang": 0.30437052,
+ "value": 0.747221,
+ "keyboard": 0.19033119,
+ "determine": 0.15000933,
+ "equation": 0.04567379,
+ "int": 0.09751607,
+ "round": 1.5345463,
+ "inline": 1.145978,
+ "serial": 0.32636595,
+ "unsigned": 0.88353324,
+ "closest": 1.3774369
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-floor]]\n=== `FLOOR`\n[.text-center]\nimage::esql/functions/signature/floor.svg[Embedded,opts=inline]\n\nRound a number down to the nearest integer.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=floor]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=floor-result]\n|===\n\nNOTE: This is a noop for `long` (including unsigned) and `integer`.\n For `double` this picks the the closest `double` value to the integer ala\n {javadoc}/java.base/java/lang/Math.html#floor(double)[Math.floor].\n\nSupported types:\n\ninclude::types/floor.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "e523b56c-3517-4905-a94a-07287a2460bd",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/greatest.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##c": 0.24265319,
+ "functions": 0.6631849,
+ "##d": 0.4070133,
+ "##g": 0.9521213,
+ "styled": 1.060551,
+ "alphabet": 0.8431507,
+ "##frame": 0.03423633,
+ "##l": 1.5270534,
+ "elmer": 0.41602176,
+ "score": 0.07157834,
+ "java": 0.8448406,
+ "##s": 0.16438602,
+ "styling": 0.6542569,
+ "##v": 1.1441244,
+ "jan": 0.29477164,
+ "merge": 1.4465348,
+ "record": 0.07315006,
+ "rank": 0.49808916,
+ "height": 0.8052205,
+ "##lean": 0.34500644,
+ "databases": 0.105598286,
+ "%": 0.5946859,
+ "league": 0.09884446,
+ "baker": 0.4206246,
+ "inspired": 0.12708427,
+ "analysis": 0.2938748,
+ "-": 0.021845777,
+ "each": 0.15057914,
+ "tags": 0.10461624,
+ "highest": 0.47008485,
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+ "[": 0.23357631,
+ "embedded": 1.4572557,
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+ "key": 0.023580126,
+ "_": 0.67365295,
+ "sep": 0.4882578,
+ "sami": 0.25331938,
+ "sv": 1.1789179,
+ "d": 0.10218548,
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+ "many": 0.5291698,
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+ "##uation": 0.048665226,
+ "maximum": 1.5365759,
+ "vast": 0.16222914,
+ "returned": 0.49193308,
+ "|": 0.31250605,
+ "da": 0.32118133,
+ "chart": 0.10310948,
+ "font": 0.47732875,
+ "supported": 0.26095095,
+ "calculation": 0.47477046,
+ "ass": 0.25099346,
+ "standard": 0.18716435,
+ "dd": 0.078320466,
+ "dh": 0.35776153,
+ "anne": 0.5142737,
+ "run": 1.0320543,
+ "source": 0.23019177,
+ "specifications": 0.6234226,
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+ "apache": 0.40683284,
+ "results": 0.5621098,
+ "ed": 0.55241674,
+ "which": 0.15745956,
+ "par": 0.025873052,
+ "image": 0.58743525,
+ "chess": 0.54572046,
+ "last": 0.87028915,
+ "list": 0.018083232,
+ "sha": 0.33519715,
+ "discrete": 1.7183046,
+ "opt": 1.6099831,
+ "measure": 0.28606844,
+ "##word": 0.6461769,
+ "once": 0.5013128,
+ "geometric": 0.43569955,
+ "worst": 0.36838958,
+ "fields": 0.870006,
+ "decimal": 0.12646647,
+ "opted": 0.48947164,
+ "formats": 0.1598194,
+ "string": 0.65885234,
+ "effort": 0.10847608,
+ "interface": 0.04919966,
+ "sid": 0.43283144,
+ "mono": 1.1175654,
+ "##ci": 1.0491258,
+ "class": 0.3591779,
+ "types": 1.0306051,
+ "center": 0.70890534,
+ "multiple": 0.84798855,
+ "specification": 0.4240554,
+ "peak": 0.27118948,
+ "syntax": 0.32506394,
+ "pub": 0.39561906,
+ "##ical": 0.6297762,
+ "fancy": 0.12173013,
+ "software": 0.23998998,
+ "achievement": 0.116919376,
+ "gage": 0.084668316,
+ "pun": 0.0035333128,
+ "arithmetic": 0.3854854,
+ "type": 0.7613994,
+ "signatures": 0.23944022,
+ "multi": 0.12048697,
+ "peg": 0.5592133,
+ "##space": 0.95206666,
+ "text": 1.1201495,
+ "jerry": 0.17778595,
+ "algorithm": 0.79720956,
+ "order": 0.26469442,
+ "similar": 0.29104894,
+ "method": 0.030213516,
+ "gene": 0.36070797,
+ "index": 0.81095415,
+ "signed": 0.4432922,
+ "epic": 0.29766455,
+ "script": 0.3989849,
+ "field": 0.41925046,
+ "style": 0.7439378,
+ "math": 1.4316375,
+ "jude": 0.2468986,
+ "favorite": 0.06599027,
+ "champion": 0.2892737,
+ "template": 0.10044381,
+ "signature": 1.4771726,
+ "columns": 1.2325588,
+ "jp": 0.2639585,
+ "pattern": 0.22126515,
+ "distribution": 0.14024341,
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+ "percent": 0.3398052,
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+ "running": 0.100585036,
+ "database": 0.36747006,
+ "para": 0.041546106,
+ "predict": 0.124289304,
+ "mer": 0.37069553,
+ "##lib": 0.14434232,
+ "value": 1.1972576,
+ "greatest": 2.099794,
+ "equation": 0.23179911,
+ "maximal": 0.14155136,
+ "consecutive": 0.22377154,
+ "inline": 1.4686012,
+ "serial": 0.27629575,
+ "compilation": 0.06608144
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-greatest]]\n=== `GREATEST`\n[.text-center]\nimage::esql/functions/signature/greatest.svg[Embedded,opts=inline]\n\nReturns the maximum value from many columns. This is similar to <>\nexcept it's intended to run on multiple columns at once.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=greatest]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=greatest-result]\n|===\n\nNOTE: When run on `keyword` or `text` fields, this'll return the last string\n in alphabetical order. When run on `boolean` columns this will return\n `true` if any values are `true`.\n\nSupported types:\n\ninclude::types/greatest.asciidoc[]\n"
+ }
+ },
+ {
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+ "check": 0.5180425,
+ "sort": 0.15717772,
+ "list": 0.7925065,
+ "expressions": 1.038017,
+ "sha": 0.40444988,
+ "plus": 0.11757098,
+ "discrete": 1.9826012,
+ "important": 0.23553358,
+ "core": 0.3825066,
+ "sequence": 0.22458866,
+ "jamie": 0.15774752,
+ "unit": 0.4344105,
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+ "lists": 0.73203593,
+ "fields": 1.3032821,
+ "dash": 0.015471438,
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+ "algebraic": 0.08676704,
+ "code": 0.2716483,
+ "boo": 0.11853414,
+ "ling": 0.13595283,
+ "string": 0.1277551,
+ "import": 0.04223179,
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+ "student": 0.0010284855,
+ "cad": 0.29279062,
+ "nu": 0.17762128,
+ "for": 0.039642405,
+ "gil": 0.4935783,
+ "interface": 0.48895445,
+ "sql": 0.6315984,
+ "sid": 0.6269111,
+ "database": 0.3784171,
+ "security": 0.035982575,
+ "predict": 0.16005763,
+ "row": 1.2241168,
+ "##lib": 0.18634762,
+ "class": 0.6962895,
+ "quantity": 0.5381136,
+ "or": 0.110561654,
+ "determine": 0.33412096,
+ "match": 0.25395238,
+ "specification": 0.7755676,
+ "rows": 0.60303134,
+ "command": 0.20660326,
+ "equal": 0.90968096,
+ "with": 1.040692,
+ "serial": 0.42947295,
+ "syntax": 0.8139231,
+ "pub": 0.29721346,
+ "mark": 0.015109023
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-in-operator]]\n=== `IN`\n\nThe `IN` operator allows testing whether a field or expression equals\nan element in a list of literals, fields or expressions:\n\n[source,esql]\n----\ninclude::{esql-specs}/row.csv-spec[tag=in-with-expressions]\n----"
+ }
+ },
+ {
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+ "_id": "3ec6a4ad-f209-41e4-af50-bcc4372bd8c5",
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+ "anne": 0.3631962,
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+ "tab": 0.03565766,
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+ "function": 0.4535014,
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+ "ed": 0.56005424,
+ "combination": 0.18086678,
+ "par": 0.21454757,
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+ "taylor": 0.044272114,
+ "chess": 0.50595254,
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+ "test": 0.121370986,
+ "finite": 1.982077,
+ "eric": 0.27777806,
+ "sort": 0.13451958,
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+ "core": 0.39773712,
+ "sequence": 0.20479608,
+ "geometric": 0.27138433,
+ "retrieve": 0.1868338,
+ "overall": 0.0010551605,
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+ "##ile": 0.25500122,
+ "boo": 1.4585283,
+ "code": 0.09473013,
+ "memory": 0.08619457,
+ "string": 0.056539387,
+ "student": 0.10307604,
+ "nu": 0.23194319,
+ "error": 0.017630877,
+ "percent": 0.27932933,
+ "sid": 0.38437524,
+ "sql": 0.3372809,
+ "eva": 1.5497117,
+ "numerical": 0.2697465,
+ "random": 0.010752479,
+ "array": 0.24833809,
+ "predict": 0.52128166,
+ "row": 1.2185912,
+ "##lib": 0.216977,
+ "class": 0.55774677,
+ "chance": 0.20387124,
+ "quantity": 0.040653486,
+ "determine": 0.44656736,
+ "limited": 0.057003196,
+ "yes": 0.21237275,
+ "equation": 0.29340625,
+ "rows": 0.6744839,
+ "command": 0.059112635,
+ "syntax": 0.5515013
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-is_finite]]\n=== `IS_FINITE`\nReturns a boolean that indicates whether its input is a finite number.\n\n[source,esql]\n----\nROW d = 1.0\n| EVAL s = IS_FINITE(d/0)\n----\n"
+ }
+ },
+ {
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+ "expression": 0.10220475,
+ "d": 0.835941,
+ "unlimited": 0.17626624,
+ "display": 0.567598,
+ "column": 0.5899134,
+ "excel": 0.49151912,
+ "s": 0.42334622,
+ "isa": 0.023065718,
+ "cod": 0.28317955,
+ "infinity": 0.8835469,
+ "logic": 0.034359124,
+ "returned": 0.56678593,
+ "return": 0.93277645,
+ "indicator": 0.61358213,
+ "ass": 0.21147235,
+ "calculation": 0.1516562,
+ "symbol": 0.11529966,
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+ "argument": 0.017737104,
+ "constant": 0.25084192,
+ "declare": 0.3441009,
+ "inputs": 0.55925715,
+ "dice": 0.19646503,
+ "anne": 0.31892422,
+ "integer": 0.52593106,
+ "operator": 0.41544235,
+ "zero": 0.27007067,
+ "apache": 0.24815413,
+ "whether": 0.66125166,
+ "continuous": 0.96521413,
+ "function": 0.4821769,
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+ "ed": 0.5282317,
+ "combination": 0.2420159,
+ "always": 0.62726283,
+ "par": 0.2028268,
+ "which": 0.14796986,
+ "taylor": 0.24492644,
+ "chess": 0.5053837,
+ "finite": 0.09722385,
+ "eric": 0.17323433,
+ "sort": 0.27284792,
+ "discrete": 1.968523,
+ "sequence": 0.3158795,
+ "core": 0.27699995,
+ "entry": 0.04974776,
+ "geometric": 0.2862409,
+ "retrieve": 0.1531089,
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+ "##ile": 0.19245532,
+ "dash": 0.039745405,
+ "boo": 1.4126221,
+ "memory": 0.25731665,
+ "code": 0.16521835,
+ "nu": 0.046407297,
+ "endless": 1.2500144,
+ "error": 0.16520147,
+ "interface": 0.1416392,
+ "percent": 0.391403,
+ "sid": 0.6861775,
+ "sql": 0.37104073,
+ "eva": 1.4690342,
+ "random": 0.1488212,
+ "array": 0.2753092,
+ "predict": 0.4585109,
+ "paradox": 0.0013625871,
+ "row": 1.1736228,
+ "##lib": 0.17134759,
+ "class": 0.54227144,
+ "chance": 0.22016107,
+ "determine": 0.4070379,
+ "yes": 0.1542567,
+ "equation": 0.2809685,
+ "length": 0.059864648,
+ "rows": 0.6591301,
+ "command": 0.2037005,
+ "serial": 0.18860629,
+ "syntax": 0.52788746
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-is_infinite]]\n=== `IS_INFINITE`\nReturns a boolean that indicates whether its input is infinite.\n\n[source,esql]\n----\nROW d = 1.0\n| EVAL s = IS_INFINITE(d/0)\n----\n"
+ }
+ },
+ {
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+ "_id": "b45c2877-f322-4100-aec4-b4e7a44f23ec",
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+ "math": 0.98730963,
+ "=": 0.7813255,
+ "hash": 0.1578472,
+ "##ler": 0.19828722,
+ "matrix": 5.9634546E-4,
+ "indicating": 0.5485347,
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+ "return": 0.9019753,
+ "indicator": 0.7196546,
+ "ass": 0.50098747,
+ "calculation": 0.09903829,
+ "symbol": 0.124860056,
+ "esq": 1.8115436,
+ "data": 0.37685814,
+ "declare": 0.20449881,
+ "inputs": 0.3975468,
+ "numbers": 0.463534,
+ "dice": 0.103457175,
+ "anne": 0.44791555,
+ "integer": 0.756157,
+ "operator": 0.50278026,
+ "ata": 0.07952796,
+ "compute": 0.06788762,
+ "apache": 0.21710846,
+ "ma": 0.08414046,
+ "whether": 0.6238548,
+ "continuous": 1.0177686,
+ "function": 0.57505023,
+ "lap": 0.31299955,
+ "ed": 0.5560624,
+ "combination": 0.22502671,
+ "which": 0.25741738,
+ "par": 0.0283983,
+ "chess": 0.34301883,
+ "test": 0.23924524,
+ "eric": 0.10660026,
+ "format": 0.053838864,
+ "sort": 0.1624226,
+ "sha": 0.12997018,
+ "discrete": 2.0702305,
+ "core": 0.33432627,
+ "sequence": 0.284717,
+ "hint": 0.0755375,
+ "retrieve": 0.22347823,
+ "##zer": 0.013533981,
+ "decimal": 0.72890455,
+ "##ile": 0.40204042,
+ "boo": 1.4027079,
+ "code": 0.20516337,
+ "memory": 0.19113316,
+ "nu": 0.6934106,
+ "non": 0.7854063,
+ "interface": 0.12932472,
+ "percent": 0.31601977,
+ "sid": 0.7522099,
+ "sql": 0.32536784,
+ "eva": 1.5926629,
+ "numerical": 0.2859821,
+ "random": 0.0890363,
+ "not": 1.0347148,
+ "array": 0.36668402,
+ "predict": 0.3015186,
+ "row": 1.2602985,
+ "##lib": 0.24269995,
+ "class": 0.46728122,
+ "value": 0.011949268,
+ "cipher": 0.0033267175,
+ "keyboard": 0.0048049698,
+ "chance": 0.113819666,
+ "determine": 0.39632365,
+ "equation": 0.11043539,
+ "rows": 0.7118761,
+ "command": 0.3685084,
+ "serial": 0.2675846,
+ "syntax": 0.5025961,
+ "pub": 0.03947534
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-is_nan]]\n=== `IS_NAN`\nReturns a boolean that indicates whether its input is not a number.\n\n[source,esql]\n----\nROW d = 1.0\n| EVAL s = IS_NAN(d)\n----\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "669949d1-6096-43b4-8659-0fe83d8d1346",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/least.asciidoc"
+ },
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+ "%": 0.6389034,
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+ "sep": 0.48264924,
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+ "d": 6.0039613E-4,
+ "column": 1.0825057,
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+ "font": 0.44992718,
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+ "ass": 0.2439018,
+ "standard": 0.12879267,
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+ "dh": 0.3255667,
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+ "run": 1.0271026,
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+ "ds": 1.0033503,
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+ "worst": 1.1461985,
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+ "multiple": 0.8136166,
+ "false": 0.74893814,
+ "specification": 0.64728916,
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+ "##ical": 0.5212374,
+ "fancy": 0.14923777,
+ "software": 0.18715456,
+ "gage": 0.3001478,
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+ "arithmetic": 0.43084514,
+ "type": 0.6927932,
+ "signatures": 0.3936958,
+ "multi": 0.11766689,
+ "peg": 0.6720104,
+ "##space": 0.9848146,
+ "text": 1.0964714,
+ "jerry": 0.35147998,
+ "algorithm": 0.80334544,
+ "order": 0.12522362,
+ "similar": 0.26632148,
+ "method": 0.09648221,
+ "gene": 0.22876167,
+ "index": 0.77919924,
+ "signed": 0.5512838,
+ "lowest": 0.37354052,
+ "script": 0.3125752,
+ "field": 0.47598663,
+ "style": 0.7506202,
+ "math": 1.467604,
+ "jude": 0.29634902,
+ "signature": 1.4203143,
+ "columns": 1.212452,
+ "jp": 0.15938465,
+ "pattern": 0.14339338,
+ "sequences": 0.061069496,
+ "##arat": 0.7782218,
+ "file": 0.33905938,
+ "composed": 0.24147773,
+ "low": 0.06360372,
+ "include": 0.7647323,
+ "editor": 0.6250847,
+ "display": 0.45367628,
+ "##id": 0.47223356,
+ "consolidation": 0.083561435,
+ "excel": 0.53522927,
+ "cod": 0.1426846,
+ "minimum": 1.5246637,
+ "return": 0.6738503,
+ "mathematical": 0.86162627,
+ "checkpoint": 0.428947,
+ "esq": 2.0455768,
+ "panda": 0.042688463,
+ "data": 0.38725004,
+ "roman": 0.20446421,
+ "sign": 0.22954875,
+ "integer": 0.4451952,
+ "spec": 1.7014037,
+ "space": 0.2603979,
+ "tab": 0.052870095,
+ "function": 0.83628905,
+ "continuous": 0.5861305,
+ "html": 0.31654483,
+ "tag": 0.83335316,
+ "buffer": 0.279382,
+ "combine": 0.17614041,
+ "including": 0.22200574,
+ "mp": 0.073724285,
+ "read": 0.063285306,
+ "format": 0.971439,
+ "mv": 1.1781765,
+ "##ido": 1.4025661,
+ "archive": 0.16945477,
+ "less": 0.40270916,
+ "sort": 0.36257985,
+ "most": 0.55633384,
+ "sequence": 0.23186633,
+ "core": 0.17675355,
+ "jamie": 0.010656476,
+ "##ida": 0.29174694,
+ "header": 0.9384313,
+ "carly": 0.067172945,
+ "boo": 0.6494191,
+ "code": 7.764662E-4,
+ "mathematics": 0.07756368,
+ "values": 0.5035007,
+ "cad": 0.2941223,
+ "gil": 0.021054223,
+ "error": 0.2867709,
+ "percent": 0.5540442,
+ "sql": 0.2892529,
+ "running": 0.07106628,
+ "numerical": 0.071507536,
+ "database": 0.20682856,
+ "predict": 0.14320363,
+ "##lib": 0.2221058,
+ "value": 1.1568654,
+ "equation": 0.2746019,
+ "consecutive": 0.20663342,
+ "inline": 1.469468,
+ "serial": 0.20136918
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-least]]\n=== `LEAST`\n[.text-center]\nimage::esql/functions/signature/least.svg[Embedded,opts=inline]\n\nReturns the minimum value from many columns. This is similar to <>\nexcept it's intended to run on multiple columns at once.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=least]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=least-result]\n|===\n\nNOTE: When run on `keyword` or `text` fields, this'll return the first string\n in alphabetical order. When run on `boolean` columns this will return\n `false` if any values are `false`.\n\nSupported types:\n\ninclude::types/least.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "d4025046-91ac-4a27-a6bd-eb69168bd0fa",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/left.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.10699751,
+ "##c": 0.45350322,
+ "functions": 0.84829265,
+ "##d": 0.5663638,
+ "##g": 0.9308468,
+ "fin": 0.11981167,
+ "styled": 1.0374147,
+ "alphabet": 0.24862206,
+ "##frame": 0.10039594,
+ "##l": 1.4986823,
+ "extracted": 0.5631658,
+ "elmer": 0.29431647,
+ "java": 0.79528445,
+ "##s": 0.15102603,
+ "styling": 0.61993724,
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+ "tex": 0.026874006,
+ "'": 0.41170868,
+ "analysis": 0.14970414,
+ "-": 0.0774719,
+ "tags": 0.31680217,
+ "/": 0.13604617,
+ "as": 0.39018095,
+ "cue": 0.07329841,
+ "left": 2.0103815,
+ "extracts": 0.8533393,
+ "starting": 0.68729645,
+ "sub": 1.0289136,
+ "functional": 0.12934798,
+ "miscellaneous": 0.067702815,
+ "document": 0.19944997,
+ "matrix": 0.09733882,
+ "virus": 0.11874547,
+ "long": 0.5787158,
+ "result": 0.86694294,
+ "characters": 0.43941462,
+ "vector": 0.49630004,
+ "fred": 0.5179295,
+ "[": 0.45144087,
+ "embedded": 1.4582257,
+ "graphic": 0.7968219,
+ "sep": 0.31093904,
+ "_": 0.27117595,
+ "sami": 0.22423187,
+ "sv": 1.2077676,
+ "d": 0.0014888879,
+ "column": 0.45402616,
+ "sample": 0.029838819,
+ "cs": 1.3631189,
+ "v": 0.053203598,
+ "collaboration": 0.006932847,
+ "##uation": 0.025826586,
+ "returned": 0.75252855,
+ "|": 0.22962807,
+ "}": 0.2030481,
+ "da": 0.14191262,
+ "supported": 0.66368383,
+ "font": 0.45371354,
+ "ass": 0.32956538,
+ "dd": 0.019693444,
+ "symbol": 0.0675436,
+ "dh": 0.31281143,
+ "anne": 0.72813547,
+ "retrieved": 0.47742093,
+ "source": 0.55441123,
+ "specifications": 0.5475871,
+ "ds": 1.0855279,
+ "apache": 0.12027865,
+ "segment": 0.0776131,
+ "results": 0.14783496,
+ "ed": 0.61318016,
+ "par": 0.07258038,
+ "image": 0.89787596,
+ "sha": 0.42491105,
+ "##ca": 0.10378927,
+ "discrete": 1.8658986,
+ "opt": 1.4079525,
+ "extract": 1.4098735,
+ "fields": 0.110359274,
+ "support": 0.25577265,
+ "coin": 0.122880444,
+ "opted": 0.43383223,
+ "formats": 0.30718252,
+ "blank": 0.03443376,
+ "string": 1.5303329,
+ "import": 0.12096219,
+ "video": 0.052954894,
+ "interface": 0.29819226,
+ "remove": 0.3186077,
+ "sid": 0.684089,
+ "mono": 0.985237,
+ "##st": 1.1486596,
+ "##ci": 1.329653,
+ "captured": 0.0062144618,
+ "class": 0.06759051,
+ "mask": 0.26562122,
+ "cipher": 0.3443155,
+ "digital": 0.022236539,
+ "types": 1.188301,
+ "center": 0.88774914,
+ "length": 1.7837411,
+ "specification": 0.71847075,
+ "scribe": 0.05792264,
+ "print": 0.073629595,
+ "syntax": 0.3081991,
+ "pub": 0.1746139,
+ "mark": 0.057653613,
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+ "software": 0.24319614,
+ "gage": 0.2933946,
+ "pun": 0.02356045,
+ "during": 0.117735036,
+ "type": 0.9054052,
+ "signatures": 0.59777254,
+ "peg": 0.78836215,
+ "slice": 0.032688845,
+ "##space": 0.9857283,
+ "text": 1.0225891,
+ "jerry": 0.39791352,
+ "flow": 0.050647605,
+ "algorithm": 0.5952352,
+ "images": 0.22722362,
+ "method": 0.068423465,
+ "gene": 0.36435288,
+ "index": 0.64184463,
+ "signed": 0.5303484,
+ "swiss": 0.011685966,
+ "extraction": 0.54419214,
+ "script": 0.4747612,
+ "style": 0.85298467,
+ "math": 0.44900268,
+ "jude": 0.1532978,
+ "template": 0.2385127,
+ "longest": 0.5054174,
+ "flag": 0.07127289,
+ "signature": 1.5070168,
+ "jp": 0.35827035,
+ "pattern": 0.42393535,
+ "##ring": 1.2516078,
+ "sequences": 0.25816992,
+ "##arat": 0.5770285,
+ "file": 0.75828993,
+ "composed": 0.06310335,
+ "julia": 0.05573515,
+ "eddy": 0.093755476,
+ "include": 0.84954774,
+ "editor": 0.631681,
+ "mat": 0.04360198,
+ "heading": 0.07421705,
+ "display": 0.38711405,
+ "##id": 0.56034964,
+ "consolidation": 0.09709166,
+ "excel": 0.22080259,
+ "fetch": 0.26677367,
+ "char": 1.382721,
+ "cod": 0.23262991,
+ "return": 0.88687575,
+ "checkpoint": 0.29853407,
+ "esq": 2.136451,
+ "data": 0.34342828,
+ "sign": 0.4363741,
+ "spec": 1.6539601,
+ "space": 0.4219378,
+ "tab": 0.073827155,
+ "function": 1.0082086,
+ "continuous": 0.67997575,
+ "logo": 0.07834769,
+ "html": 0.5053543,
+ "lap": 0.24532498,
+ "tag": 0.9308152,
+ "buffer": 0.26454157,
+ "including": 0.36939815,
+ "format": 1.0636381,
+ "capture": 0.24358577,
+ "##ido": 1.5987478,
+ "archive": 0.46282172,
+ "sort": 0.18633813,
+ "tool": 0.17687762,
+ "core": 0.4688697,
+ "sequence": 0.45429632,
+ "jamie": 0.33061332,
+ "##ida": 0.3060057,
+ "header": 1.1084981,
+ "retrieve": 0.67947346,
+ "carly": 0.008790013,
+ "code": 0.19452655,
+ "blend": 0.030334838,
+ "cad": 0.70671326,
+ "roc": 0.057838146,
+ "gil": 0.28896552,
+ "percent": 0.14440279,
+ "para": 0.21710625,
+ "array": 0.15325178,
+ "##lib": 0.061901506,
+ "row": 0.019857537,
+ "included": 0.011909218,
+ "keyboard": 0.2532597,
+ "command": 0.08506529,
+ "inline": 1.3784864,
+ "lengths": 0.76152587,
+ "serial": 0.7307331
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-left]]\n=== `LEFT`\n[.text-center]\nimage::esql/functions/signature/left.svg[Embedded,opts=inline]\n\nReturn the substring that extracts 'length' chars from the 'string' starting from the left.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=left]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=left-result]\n|===\n\nSupported types:\n\ninclude::types/left.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "7cc67794-bba2-4f2b-bb6f-6d464d0277e2",
+ "_score": 1.0,
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/length.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##d": 0.23313707,
+ "maintain": 0.11640477,
+ "gage": 0.24252486,
+ "arithmetic": 0.2846752,
+ "alphabet": 0.5170722,
+ "during": 0.13365316,
+ "##l": 1.4854715,
+ "##n": 1.4664992,
+ "character": 1.398449,
+ "java": 0.8499402,
+ "peg": 0.6736561,
+ "len": 0.6673226,
+ "notation": 0.093200356,
+ "record": 0.20794329,
+ "calculate": 0.36606735,
+ "text": 0.16842392,
+ "jerry": 0.12794812,
+ "height": 1.2413319,
+ "algorithm": 0.5079097,
+ "gene": 0.18146859,
+ "'": 0.43976486,
+ "(": 0.20041229,
+ "index": 0.69735295,
+ "-": 0.25182304,
+ "script": 0.13801216,
+ "size": 0.057490543,
+ "math": 0.5622381,
+ "=": 0.8190906,
+ "hash": 0.07676205,
+ "longest": 0.59505934,
+ "log": 0.15301877,
+ "##ler": 0.08831596,
+ "save": 0.32181308,
+ "pattern": 0.21528797,
+ "retain": 0.13254137,
+ "long": 0.8664183,
+ "remember": 0.37175357,
+ "characters": 1.121082,
+ "into": 0.13131714,
+ "file": 0.06873602,
+ "strings": 0.16714361,
+ "surname": 0.22335029,
+ "si": 0.10219667,
+ "[": 1.0521325,
+ "fred": 0.27013794,
+ "]": 0.80945814,
+ "workers": 0.73517895,
+ "table": 0.12091233,
+ "_": 1.0387883,
+ "editor": 0.2419633,
+ "address": 0.29160118,
+ "c": 0.045685638,
+ "d": 0.22654694,
+ "keeping": 0.53333867,
+ "f": 1.165825,
+ "display": 0.3827724,
+ "column": 0.1764757,
+ "staff": 0.23445778,
+ "n": 0.12656322,
+ "excel": 0.49500868,
+ "cheat": 0.14001358,
+ "names": 0.71594095,
+ "char": 0.2578975,
+ "cod": 0.5053246,
+ "returned": 0.46666446,
+ "|": 0.0018601987,
+ "first": 0.762754,
+ "return": 0.71540177,
+ "db": 0.21652158,
+ "discreet": 0.11937663,
+ "calculation": 0.32952523,
+ "ass": 0.1336467,
+ "esq": 1.8042189,
+ "constant": 0.14577425,
+ "data": 0.39913368,
+ "dice": 0.025712617,
+ "anne": 0.28448543,
+ "source": 0.35716718,
+ "accounting": 0.35563895,
+ "integer": 0.24652398,
+ "employee": 1.2923427,
+ "operator": 0.2710436,
+ "ata": 0.11724619,
+ "compute": 0.14009576,
+ "protocol": 0.018970018,
+ "apache": 0.26199132,
+ "tab": 0.09496541,
+ "continuous": 0.9013419,
+ "function": 0.6430838,
+ "members": 0.10120244,
+ "lap": 0.45344177,
+ "ren": 0.0934487,
+ "tall": 0.40452075,
+ "buffer": 0.25983205,
+ "ed": 0.61035776,
+ "which": 0.25589734,
+ "par": 0.24366209,
+ "last": 0.7490398,
+ "everyone": 0.035617743,
+ "initials": 0.36396956,
+ "format": 0.3830524,
+ "archive": 0.2619003,
+ "sort": 0.27316275,
+ "list": 0.10846132,
+ "discrete": 2.0212622,
+ "sequence": 0.3291148,
+ "core": 0.17425784,
+ "keep": 0.96520424,
+ "colleagues": 0.25986663,
+ "name": 0.52081263,
+ "retrieve": 0.13309951,
+ "employees": 1.3442148,
+ "decimal": 0.21582542,
+ "code": 0.28160736,
+ "memory": 0.08119793,
+ "string": 1.5509002,
+ "import": 0.22000676,
+ "cad": 0.16217084,
+ "nu": 0.08738855,
+ "storage": 0.10732351,
+ "inventory": 0.2810155,
+ "interface": 0.22642566,
+ "fr": 0.016890015,
+ "percent": 0.21136776,
+ "sid": 0.7650739,
+ "sql": 0.61430573,
+ "eva": 1.7882926,
+ "random": 0.11522041,
+ "database": 0.29743794,
+ "##lib": 0.22721307,
+ "lang": 0.19630909,
+ "class": 0.5217484,
+ "mask": 0.025870265,
+ "cipher": 0.0710987,
+ "keyboard": 0.21276386,
+ "length": 2.0455892,
+ "command": 0.15914698,
+ "lengths": 1.0747535,
+ "serial": 0.7040637,
+ "heights": 0.27116513,
+ "inherited": 0.14711018,
+ "syntax": 0.66842407,
+ "short": 0.32085574,
+ "pub": 0.19068393
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-length]]\n=== `LENGTH`\nReturns the character length of a string.\n\n[source,esql]\n----\nFROM employees\n| KEEP first_name, last_name, height\n| EVAL fn_length = LENGTH(first_name)\n----\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "922ea14b-ba2e-49f7-81f4-9ef2d2c89870",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/like.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##d": 0.29270372,
+ "software": 0.0891617,
+ "allowed": 0.04639182,
+ "alphabet": 0.10417841,
+ "##l": 1.5030321,
+ "type": 0.059981078,
+ "character": 0.55774796,
+ "java": 1.2099884,
+ "peg": 0.5212441,
+ "filtered": 0.23691556,
+ "corner": 0.22948053,
+ "len": 3.933133E-4,
+ "notation": 0.32935846,
+ "jerry": 0.34492815,
+ "filtering": 1.0289887,
+ "manipulation": 0.19734341,
+ "algorithm": 0.8262739,
+ "similar": 0.26075545,
+ "based": 0.24992193,
+ "using": 0.24784946,
+ "gene": 0.33333576,
+ "'": 0.78276914,
+ "##list": 0.25866053,
+ "index": 0.4396823,
+ "*": 0.67974675,
+ "analysis": 0.24995637,
+ "matches": 0.9068276,
+ "-": 0.36516225,
+ "script": 0.27002963,
+ "0": 0.075240225,
+ "solomon": 0.17611481,
+ "as": 0.8440376,
+ "field": 0.90073436,
+ "left": 0.98283756,
+ "anal": 0.049010914,
+ "following": 0.12545487,
+ "analyze": 0.09855393,
+ "math": 0.5939385,
+ "placement": 0.22359958,
+ "=": 0.6789293,
+ "card": 0.71318984,
+ "hash": 0.3918536,
+ "?": 0.38566902,
+ "miscellaneous": 0.017332513,
+ "pattern": 1.5721004,
+ "facing": 0.25614762,
+ "sequences": 0.42572117,
+ "literal": 1.0507085,
+ "matching": 0.6047542,
+ "example": 0.066019066,
+ "characters": 0.9807664,
+ "search": 0.38027582,
+ "computer": 0.07079755,
+ "file": 0.20264119,
+ "strings": 0.24909553,
+ "operators": 0.9421318,
+ "julia": 0.14561865,
+ "surname": 0.17523268,
+ "unlike": 0.7649206,
+ "where": 0.45984995,
+ "[": 0.706006,
+ "fred": 0.42329282,
+ "workers": 0.7572148,
+ "]": 0.49797413,
+ "hand": 0.6459169,
+ "_": 0.5973759,
+ "`": 1.1199517,
+ "editor": 0.6214283,
+ "side": 1.1452528,
+ "b": 0.16262253,
+ "expression": 1.1066998,
+ "d": 0.25968578,
+ "keeping": 0.01656974,
+ "display": 0.032381322,
+ "column": 0.018483775,
+ "staff": 0.057817895,
+ "right": 0.7825156,
+ "nice": 0.39256567,
+ "filter": 1.6508125,
+ "excel": 0.45576113,
+ "names": 0.35601518,
+ "s": 0.06400243,
+ "cod": 0.32377553,
+ "operation": 0.6563574,
+ "da": 0.34486854,
+ "first": 0.13130113,
+ "represent": 0.63904005,
+ "supported": 0.45356548,
+ "checkpoint": 0.18344928,
+ "symbol": 0.29242736,
+ "esq": 2.0165799,
+ "panda": 0.070902385,
+ "constant": 0.8661171,
+ "data": 1.1603278,
+ "use": 0.48305297,
+ "dice": 0.062890224,
+ "anne": 0.17475304,
+ "used": 0.23407383,
+ "employee": 1.1249039,
+ "operator": 1.5147283,
+ "liked": 0.39878148,
+ "zero": 1.0100368,
+ "act": 0.4732934,
+ "apache": 0.22085106,
+ "tab": 0.023800623,
+ "continuous": 0.6390198,
+ "function": 0.23101975,
+ "lap": 0.17585859,
+ "implement": 0.117150016,
+ "ed": 0.65741014,
+ "par": 0.26334375,
+ "which": 0.09138845,
+ "chess": 0.3034706,
+ "last": 0.6103338,
+ "like": 2.0638027,
+ "##card": 1.1732752,
+ "initials": 0.46804214,
+ "patterns": 1.3675151,
+ "format": 0.36412114,
+ "archive": 0.09076789,
+ "sort": 0.5170665,
+ "sha": 0.111842684,
+ "discrete": 1.8885036,
+ "core": 0.3579529,
+ "sequence": 0.13529238,
+ "##word": 0.30699784,
+ "keep": 0.5024279,
+ "colleagues": 0.26894015,
+ "name": 0.26626045,
+ "cia": 0.09925226,
+ "employees": 1.1990494,
+ "fields": 0.6710051,
+ "useful": 0.30303112,
+ "support": 0.13056877,
+ "carly": 0.2224311,
+ "boo": 0.30576205,
+ "cards": 0.23476249,
+ "code": 0.2225771,
+ "blank": 0.01208107,
+ "string": 1.3781192,
+ "import": 0.13725902,
+ "student": 0.28426486,
+ "bot": 0.036720004,
+ "blend": 0.01714492,
+ "nu": 0.027822368,
+ "interface": 0.15827894,
+ "representation": 0.4509606,
+ "symbols": 0.022383079,
+ "sql": 0.78334117,
+ "sid": 0.49055672,
+ "random": 0.06818197,
+ "database": 0.32902086,
+ "##cards": 1.0128163,
+ "sorting": 0.005106383,
+ "predict": 0.0038241842,
+ "bland": 0.017243233,
+ "##lib": 0.27910724,
+ "lang": 0.15115711,
+ "class": 0.46324396,
+ "mask": 0.20330387,
+ "direction": 0.14023979,
+ "cipher": 0.29428494,
+ "keyboard": 0.2488404,
+ "spelling": 0.0027318797,
+ "match": 1.0102922,
+ "control": 0.031338386,
+ "filters": 1.032396,
+ "command": 0.33159423,
+ "serial": 0.09662725,
+ "motifs": 0.15642981,
+ "inherited": 0.073606454,
+ "colon": 0.001865791,
+ "syntax": 0.8634207,
+ "wild": 1.700867
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-like-operator]]\n=== `LIKE`\n\nUse `LIKE` to filter data based on string patterns using wildcards. `LIKE`\nusually acts on a field placed on the left-hand side of the operator, but it can\nalso act on a constant (literal) expression. The right-hand side of the operator\nrepresents the pattern.\n\nThe following wildcard characters are supported:\n\n* `*` matches zero or more characters.\n* `?` matches one character.\n\n[source,esql]\n----\nFROM employees\n| WHERE first_name LIKE \"?b*\"\n| KEEP first_name, last_name\n----\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "a66b3081-3898-49ce-b27c-d2be4c17ed97",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/log10.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.3413885,
+ "##c": 0.10741924,
+ "mod": 0.024177939,
+ "functions": 0.6039006,
+ "software": 0.356418,
+ "##d": 0.15240452,
+ "##g": 0.8718254,
+ "gage": 0.49364832,
+ "arithmetic": 0.5357465,
+ "styled": 0.5265666,
+ "##l": 1.5091856,
+ "type": 0.55749995,
+ "signatures": 0.41831765,
+ "integers": 0.19562067,
+ "number": 0.54591036,
+ "elmer": 0.2187766,
+ "java": 0.9936703,
+ "peg": 0.66427755,
+ "##s": 0.5375799,
+ "dev": 0.02877122,
+ "##v": 1.1144227,
+ "jan": 0.10990462,
+ "notation": 0.089512534,
+ "merge": 1.1227887,
+ "nan": 1.5567024,
+ "##space": 0.99254274,
+ "text": 0.8710216,
+ "jerry": 0.22647548,
+ "calculate": 0.15440454,
+ "ten": 0.32695693,
+ "10": 1.5344396,
+ "algorithm": 0.62836844,
+ "gene": 0.34728685,
+ "%": 0.2368231,
+ "double": 1.1209787,
+ "tex": 0.06365831,
+ "index": 0.5435159,
+ "signed": 0.4904459,
+ "analysis": 0.1718615,
+ "-": 0.1396762,
+ "script": 0.29038444,
+ "0": 0.8062903,
+ "input": 0.91549563,
+ "analog": 0.15698253,
+ "doubles": 0.40455425,
+ "binary": 0.1998905,
+ "logging": 0.3558697,
+ "style": 0.19996896,
+ "math": 1.3926563,
+ "minus": 0.7714297,
+ "log": 2.1186054,
+ "signature": 1.3889807,
+ "infinite": 1.3683884,
+ "jp": 0.103190124,
+ "monte": 0.008685313,
+ "sequences": 0.14988056,
+ "two": 0.1746218,
+ "unknown": 0.18523866,
+ "##arat": 0.90822434,
+ "result": 0.73647875,
+ "computer": 0.07687443,
+ "file": 0.4819353,
+ "tom": 0.029840091,
+ "si": 0.341954,
+ "vector": 0.34492597,
+ "[": 0.88096726,
+ "fred": 0.51142657,
+ "embedded": 1.2203939,
+ "graphic": 0.6343938,
+ "]": 0.1294084,
+ "sep": 0.44844374,
+ "_": 0.40816084,
+ "sami": 0.11021045,
+ "include": 0.38361573,
+ "editor": 0.37708586,
+ "mat": 0.22603938,
+ "chip": 0.11934923,
+ "sv": 1.0707234,
+ "sy": 0.0012391278,
+ "display": 0.30535623,
+ "##id": 0.3483431,
+ "##10": 1.3802308,
+ "computation": 0.018111914,
+ "cs": 1.3128978,
+ "excel": 0.28730392,
+ "v": 0.11045524,
+ "##meric": 0.89911973,
+ "cod": 0.15222885,
+ "digits": 0.3730046,
+ "infinity": 0.09709999,
+ "returned": 0.57127273,
+ "|": 0.14153926,
+ "chart": 0.083271146,
+ "return": 0.99292326,
+ "mathematical": 0.7847075,
+ "supported": 0.4238645,
+ "ass": 0.40297776,
+ "calculation": 0.24467754,
+ "dd": 0.08674212,
+ "checkpoint": 0.033697985,
+ "esq": 2.0397773,
+ "constant": 0.0103672305,
+ "data": 0.24997568,
+ "dh": 0.15887833,
+ "inputs": 0.2315995,
+ "numbers": 0.91727674,
+ "sign": 0.30406588,
+ "anne": 0.5986638,
+ "integer": 0.5366779,
+ "lab": 0.15212339,
+ "specifications": 0.39540973,
+ "spec": 1.6132754,
+ "space": 0.19258404,
+ "ds": 0.9366253,
+ "zero": 0.6690643,
+ "compute": 0.17984036,
+ "apache": 0.2679578,
+ "find": 0.0010598048,
+ "function": 0.85577244,
+ "continuous": 0.8259875,
+ "html": 0.24037139,
+ "lap": 0.055166293,
+ "tag": 0.6282574,
+ "buffer": 0.13719916,
+ "logs": 1.3868552,
+ "ed": 0.35979167,
+ "always": 0.30797783,
+ "image": 0.60842186,
+ "taylor": 0.2401252,
+ "chess": 0.20376515,
+ "mp": 0.01907891,
+ "ek": 0.29114276,
+ "format": 0.9764108,
+ "batch": 0.05067344,
+ "##ido": 1.3008579,
+ "archive": 0.2021227,
+ "sha": 0.23027585,
+ "tool": 0.0047206148,
+ "discrete": 1.7965758,
+ "core": 0.4994017,
+ "jamie": 0.22776514,
+ "sequence": 0.10021305,
+ "opt": 1.3150936,
+ "unit": 0.09734801,
+ "geometric": 0.3755046,
+ "##ida": 0.30677348,
+ "header": 0.7726983,
+ "retrieve": 0.1703952,
+ "decimal": 0.5454818,
+ "support": 0.041611515,
+ "formats": 0.24833149,
+ "memory": 0.21098284,
+ "nu": 0.53884387,
+ "cad": 0.52384406,
+ "link": 0.075813696,
+ "endless": 0.74984044,
+ "gil": 0.057941087,
+ "video": 0.038902428,
+ "interface": 0.26014152,
+ "inventory": 0.09575497,
+ "error": 0.07025775,
+ "sid": 0.7416739,
+ "mono": 0.9903336,
+ "numerical": 0.17928809,
+ "negative": 1.4941814,
+ "database": 0.06932134,
+ "plot": 0.05040586,
+ "array": 0.004196291,
+ "##ci": 1.0214335,
+ "##lib": 0.006031526,
+ "value": 0.744863,
+ "class": 0.32922792,
+ "cipher": 0.01902277,
+ "types": 0.91247755,
+ "equation": 0.2417865,
+ "false": 0.23327321,
+ "specification": 0.5632302,
+ "any": 0.30409306,
+ "command": 0.061487716,
+ "inline": 1.2461637,
+ "serial": 0.75640583,
+ "syntax": 0.18768175,
+ "pub": 0.12576598,
+ "base": 1.32055
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-log10]]\n=== `LOG10`\n[.text-center]\nimage::esql/functions/signature/log10.svg[Embedded,opts=inline]\n\nReturns the log base 10. The input can be any numeric value, the return value\nis always a double.\n\nLogs of negative numbers are NaN. Logs of infinites are infinite, as is the log of 0.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=log10]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=log10-result]\n|===\n\nSupported types:\n\ninclude::types/log10.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "7cea0cf1-6f91-4e44-b9fe-e5223a238669",
+ "_score": 1.0,
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/logical.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##d": 0.32854876,
+ "allowed": 0.29136488,
+ "arithmetic": 0.84443825,
+ "alphabet": 0.39728907,
+ "##l": 1.3459915,
+ "compatible": 0.10187664,
+ "java": 1.2267386,
+ "grammar": 0.65669537,
+ "peg": 0.22475415,
+ "notation": 0.58738065,
+ "else": 0.31570867,
+ "nan": 0.053111132,
+ "algorithm": 0.171283,
+ "'": 0.4263288,
+ "(": 2.0418466E-4,
+ "*": 1.3625723,
+ "-": 0.09392197,
+ "following": 0.6485991,
+ "binary": 0.36775547,
+ "except": 0.06981684,
+ "math": 0.83878595,
+ "=": 1.0232441,
+ "miscellaneous": 0.089781955,
+ "algebra": 0.35111862,
+ "two": 0.15559901,
+ "mandatory": 0.031137802,
+ "into": 0.25706503,
+ "operators": 1.4407792,
+ "julia": 0.077851884,
+ "where": 0.041289452,
+ "[": 0.9072343,
+ "]": 0.728956,
+ "equality": 0.05066925,
+ "table": 0.15835251,
+ "_": 0.5620823,
+ "`": 1.028316,
+ "editor": 0.26743215,
+ "expression": 0.36242655,
+ "c": 0.058327895,
+ "d": 0.17852692,
+ "union": 0.38476828,
+ "logical": 1.7607635,
+ "excel": 0.36697164,
+ "instruction": 0.039026942,
+ "cod": 0.5432139,
+ "logic": 1.2244266,
+ "|": 0.09020882,
+ "operation": 0.580462,
+ "da": 0.13097596,
+ "supported": 0.9650382,
+ "ass": 0.46904555,
+ "symbol": 0.24070325,
+ "esq": 1.79426,
+ "declare": 0.034617215,
+ "dice": 0.23618415,
+ "language": 0.23909648,
+ "operator": 1.5089654,
+ "apache": 0.040271804,
+ "tab": 0.14336188,
+ "etc": 0.09725283,
+ "continuous": 0.86335295,
+ "intersection": 0.316153,
+ "function": 0.06610097,
+ "lap": 0.32680407,
+ "html": 0.053507157,
+ "ed": 0.5284729,
+ "combination": 0.3806904,
+ "otherwise": 0.34914106,
+ "par": 0.15437481,
+ "which": 0.01446182,
+ "chess": 0.39907753,
+ "last": 0.11706456,
+ "level": 0.10323045,
+ "format": 0.2719399,
+ "eric": 0.056752283,
+ "plus": 0.16118054,
+ "discrete": 2.0115066,
+ "sequence": 0.39392608,
+ "unit": 0.1590814,
+ "decimal": 0.16272435,
+ "dash": 0.022170898,
+ "support": 0.6250597,
+ "algebraic": 0.21806955,
+ "code": 0.17857789,
+ "student": 0.1441447,
+ "nu": 0.22303721,
+ "provided": 0.08841799,
+ "non": 0.6144807,
+ "symbols": 0.24754155,
+ "sql": 0.6692202,
+ "sid": 0.21455787,
+ "not": 1.3686014,
+ "operations": 0.195333,
+ "structural": 0.0027743205,
+ "and": 0.84539723,
+ "lang": 0.1180852,
+ "class": 0.72349113,
+ "keyboard": 0.29904372,
+ "or": 0.48272434,
+ "command": 0.30010012,
+ "serial": 0.06663052,
+ "inherited": 0.008632014,
+ "syntax": 1.0812175
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-logical-operators]]\n=== Logical operators\n\nThe following logical operators are supported:\n\n* `AND`\n* `OR`\n* `NOT`\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "8cec9029-1d06-47b4-b647-77e3e10bcf43",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/ltrim.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.32972732,
+ "##d": 0.7223193,
+ "leading": 1.6317708,
+ "del": 0.38333473,
+ "fin": 0.117961355,
+ "styled": 1.1564287,
+ "alphabet": 0.10031086,
+ "##frame": 0.08443685,
+ "##l": 1.2875825,
+ "##r": 0.16174169,
+ "character": 0.09729264,
+ "trailing": 0.8353598,
+ "java": 0.71946424,
+ "##s": 0.19660479,
+ "styling": 0.77350247,
+ "len": 0.36335063,
+ "dev": 0.063625984,
+ "trim": 0.042423077,
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+ "command": 0.44638446,
+ "serial": 0.5316396,
+ "slash": 0.10981244
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-ltrim]]\n=== `LTRIM`\nRemoves leading whitespaces from strings.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=ltrim]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=ltrim-result]\n|===\n"
+ }
+ },
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+ "sid": 0.49377885,
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+ "serial": 0.04275928,
+ "pi": 0.9484283,
+ "syntax": 0.4592484,
+ "pub": 0.3445712
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-math-functions]]\n==== {esql} mathematical functions\n\n++++\nMathematical functions\n++++\n\n{esql} supports these mathematical functions:\n\n// tag::math_list[]\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n// end::math_list[]\n\ninclude::abs.asciidoc[]\ninclude::acos.asciidoc[]\ninclude::asin.asciidoc[]\ninclude::atan.asciidoc[]\ninclude::atan2.asciidoc[]\ninclude::ceil.asciidoc[]\ninclude::cos.asciidoc[]\ninclude::cosh.asciidoc[]\ninclude::e.asciidoc[]\ninclude::floor.asciidoc[]\ninclude::log10.asciidoc[]\ninclude::pi.asciidoc[]\ninclude::pow.asciidoc[]\ninclude::round.asciidoc[]\ninclude::sin.asciidoc[]\ninclude::sinh.asciidoc[]\ninclude::sqrt.asciidoc[]\ninclude::tan.asciidoc[]\ninclude::tanh.asciidoc[]\ninclude::tau.asciidoc[]\n"
+ }
+ },
+ {
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+ "ass": 0.23504148,
+ "dd": 0.19529761,
+ "symbol": 0.23916274,
+ "esq": 1.8671598,
+ "constant": 0.39217556,
+ "data": 0.68365145,
+ "dh": 0.37077403,
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+ "spec": 1.5930732,
+ "space": 0.63160163,
+ "operator": 0.06407914,
+ "ds": 1.0857538,
+ "apache": 0.04467815,
+ "tab": 0.008438526,
+ "##ag": 0.0398697,
+ "continuous": 0.9083864,
+ "function": 0.0063716597,
+ "limit": 0.62255013,
+ "html": 0.57109684,
+ "lap": 0.32612103,
+ "tag": 0.9835301,
+ "buffer": 0.24105582,
+ "results": 0.5252646,
+ "ed": 0.5362262,
+ "combine": 0.48007813,
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+ "chess": 0.39957532,
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+ "discrete": 1.9698633,
+ "core": 0.49772146,
+ "jamie": 0.11514477,
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+ "header": 1.2506837,
+ "fields": 1.1053685,
+ "decimal": 0.05046548,
+ "formats": 0.23933372,
+ "code": 0.1686607,
+ "nu": 0.69933474,
+ "cad": 0.38593155,
+ "values": 0.19570428,
+ "gil": 0.17210591,
+ "percent": 0.5059259,
+ "sid": 0.66740465,
+ "sql": 0.4725331,
+ "mono": 1.1905888,
+ "numerical": 0.24946548,
+ "database": 0.5251108,
+ "define": 0.23207949,
+ "definition": 0.40290073,
+ "value": 1.0662484,
+ "included": 0.30769163,
+ "class": 0.16218352,
+ "digital": 0.06293176,
+ "equation": 0.24916549,
+ "length": 0.11817799,
+ "specification": 0.6131202,
+ "serial": 0.42500728,
+ "syntax": 0.49504167,
+ "formula": 0.23855487,
+ "pub": 0.20348975,
+ "demographics": 0.18147326
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-agg-max]]\n=== `MAX`\nThe maximum value of a numeric field.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/stats.csv-spec[tag=max]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/stats.csv-spec[tag=max-result]\n|===\n"
+ }
+ },
+ {
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+ "_id": "5d7a527b-b44a-425e-a21c-2d74365742cb",
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+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/median.asciidoc"
+ },
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+ "text": "[discrete]\n[[esql-agg-median]]\n=== `MEDIAN`\nThe value that is greater than half of all values and less than half of\nall values, also known as the 50% <>.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/stats_percentile.csv-spec[tag=median]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/stats_percentile.csv-spec[tag=median-result]\n|===\n\nNOTE: Like <>, `MEDIAN` is <>.\n\n[WARNING]\n====\n`MEDIAN` is also {wikipedia}/Nondeterministic_algorithm[non-deterministic].\nThis means you can get slightly different results using the same data.\n====\n"
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+ "text": "[discrete]\n[[esql-agg-median-absolute-deviation]]\n=== `MEDIAN_ABSOLUTE_DEVIATION`\nThe median absolute deviation, a measure of variability. It is a robust\nstatistic, meaning that it is useful for describing data that may have outliers,\nor may not be normally distributed. For such data it can be more descriptive than\nstandard deviation.\n\nIt is calculated as the median of each data point’s deviation from the median of\nthe entire sample. That is, for a random variable `X`, the median absolute deviation\nis `median(|median(X) - Xi|)`.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/stats_percentile.csv-spec[tag=median-absolute-deviation]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/stats_percentile.csv-spec[tag=median-absolute-deviation-result]\n|===\n\nNOTE: Like <>, `MEDIAN_ABSOLUTE_DEVIATION` is\n <>.\n\n[WARNING]\n====\n`MEDIAN_ABSOLUTE_DEVIATION` is also {wikipedia}/Nondeterministic_algorithm[non-deterministic].\nThis means you can get slightly different results using the same data.\n====\n"
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+ "equation": 0.33600414,
+ "length": 0.16574208,
+ "specification": 0.5617512,
+ "minute": 0.5772928,
+ "serial": 0.46707314,
+ "mean": 0.017521357,
+ "colon": 0.10411137,
+ "syntax": 0.4995555,
+ "formula": 0.22994742,
+ "pub": 0.23237216,
+ "merger": 0.009030453,
+ "demographics": 0.23998548
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-agg-min]]\n=== `MIN`\nThe minimum value of a numeric field.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/stats.csv-spec[tag=min]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/stats.csv-spec[tag=min-result]\n|===\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "44311bc3-0ac8-4bd1-a65b-49903d663c30",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/mv_avg.asciidoc"
+ },
+ "vector": {
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+ "mat": 0.19202726,
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+ "display": 0.5047968,
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+ "excel": 0.6684458,
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+ "report": 0.037345383,
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+ "outputs": 0.17522758,
+ "esq": 1.874794,
+ "data": 0.536241,
+ "dice": 0.29062176,
+ "integer": 0.47892493,
+ "spec": 1.6661454,
+ "translate": 0.5892025,
+ "space": 0.43687373,
+ "mc": 0.371236,
+ "continuous": 0.86889815,
+ "function": 0.08902976,
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+ "create": 0.07232691,
+ "html": 0.3344611,
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+ "mr": 0.4049678,
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+ "unit": 0.11479846,
+ "header": 1.0475154,
+ "code": 0.19731718,
+ "mathematics": 0.26299116,
+ "blend": 0.030467592,
+ "values": 0.9676853,
+ "cad": 0.31865537,
+ "nu": 0.108547844,
+ "gil": 0.15859404,
+ "percent": 0.2600455,
+ "sql": 0.13017324,
+ "transform": 0.042562805,
+ "array": 0.36763397,
+ "value": 0.9501956,
+ "included": 0.038676634,
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+ "serial": 0.6793152,
+ "valued": 1.3198743,
+ "mean": 0.21778195,
+ "inherited": 0.013819489
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-mv_avg]]\n=== `MV_AVG`\nConverts a multivalued field into a single valued field containing the average\nof all of the values. For example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=mv_avg]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=mv_avg-result]\n|===\n\n\nNOTE: The output type is always a `double` and the input type can be any number.\n"
+ }
+ },
+ {
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+ "_id": "001f3a3f-52e4-482d-b2c3-44cdd53acdc1",
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+ "space": 0.3532631,
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+ "mc": 0.35786355,
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+ "##field": 0.012331669,
+ "create": 0.16625786,
+ "html": 0.42653722,
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+ "tag": 0.80454624,
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+ "including": 0.23562917,
+ "read": 0.041784972,
+ "mr": 0.19565351,
+ "ms": 0.1231621,
+ "format": 1.0732211,
+ "mv": 1.9771508,
+ "archive": 0.2860798,
+ "sort": 0.450107,
+ "core": 0.50660175,
+ "sequence": 0.33485556,
+ "jamie": 0.20245126,
+ "header": 1.017143,
+ "retrieve": 0.15324329,
+ "##ada": 0.19417232,
+ "code": 0.26253185,
+ "differentiation": 0.010172663,
+ "values": 0.8652857,
+ "cad": 0.26109046,
+ "roc": 0.038775377,
+ "gil": 0.14374314,
+ "sql": 0.30252305,
+ "database": 0.3340689,
+ "array": 0.17638168,
+ "cat": 0.63280654,
+ "##lib": 0.12210558,
+ "lang": 0.40763023,
+ "said": 0.00566105,
+ "value": 0.8313259,
+ "included": 0.064013615,
+ "command": 0.25829017,
+ "serial": 0.8108022,
+ "valued": 1.3436238
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-mv_concat]]\n=== `MV_CONCAT`\nConverts a multivalued string field into a single valued field containing the\nconcatenation of all values separated by a delimiter:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=mv_concat]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=mv_concat-result]\n|===\n\nIf you want to concat non-string fields call <> on them first:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=mv_concat-to_string]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=mv_concat-to_string-result]\n|===\n\n"
+ }
+ },
+ {
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+ "_score": 1.0,
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+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/mv_count.asciidoc"
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+ "gage": 0.46044725,
+ "convert": 1.1943816,
+ "program": 0.2562767,
+ "type": 0.78864896,
+ "multi": 1.2433151,
+ "integers": 0.16358337,
+ "number": 0.66855586,
+ "peg": 0.59071016,
+ "##space": 1.2195429,
+ "model": 0.35115194,
+ "jerry": 0.29457685,
+ "text": 0.15325189,
+ "algorithm": 0.5501852,
+ "val": 0.23837745,
+ "gene": 0.20941177,
+ "index": 0.50308776,
+ "script": 0.32255048,
+ "field": 1.5534673,
+ "analyze": 0.05318506,
+ "integration": 0.08759837,
+ "style": 0.86253333,
+ "math": 0.55914825,
+ "##val": 1.2583731,
+ "pattern": 0.104524545,
+ "##arat": 0.77373743,
+ "file": 0.4618093,
+ "composed": 0.21450391,
+ "include": 0.7771947,
+ "editor": 0.57581955,
+ "heading": 0.16561925,
+ "display": 0.46559542,
+ "converts": 0.6377167,
+ "excel": 0.62435615,
+ "organized": 0.275031,
+ "report": 0.034152463,
+ "cod": 0.38115206,
+ "return": 0.359882,
+ "checkpoint": 0.041861568,
+ "esq": 1.9323527,
+ "data": 0.5553399,
+ "dice": 0.24058828,
+ "integer": 1.0975021,
+ "spec": 1.6240256,
+ "translate": 0.6534171,
+ "space": 0.41275308,
+ "mc": 0.29601622,
+ "function": 1.2116585,
+ "continuous": 0.7635175,
+ "create": 0.12337445,
+ "html": 0.25039208,
+ "lap": 0.04420665,
+ "tag": 0.89784855,
+ "buffer": 0.33198604,
+ "expressed": 0.19923335,
+ "combine": 0.37875134,
+ "counting": 0.06998947,
+ "mp": 0.88699895,
+ "including": 0.251256,
+ "read": 0.13986267,
+ "format": 1.0937054,
+ "mv": 2.1359575,
+ "sort": 0.3725025,
+ "core": 0.4361939,
+ "jamie": 0.18810615,
+ "synth": 0.14137895,
+ "sequence": 0.11945809,
+ "unit": 0.043402355,
+ "header": 1.1068095,
+ "retrieve": 0.050610546,
+ "code": 0.08470808,
+ "values": 1.147544,
+ "cad": 0.2605508,
+ "percent": 0.25778797,
+ "sql": 0.37617293,
+ "database": 0.25502348,
+ "total": 0.172612,
+ "array": 0.28528214,
+ "##lib": 0.15332419,
+ "value": 0.9200472,
+ "included": 0.057994187,
+ "quantity": 0.19671534,
+ "zoom": 0.03488203,
+ "command": 0.25307867,
+ "serial": 0.7474466,
+ "compilation": 0.055703465,
+ "valued": 1.2981291
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-mv_count]]\n=== `MV_COUNT`\nConverts a multivalued field into a single valued field containing a count of the number\nof values:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=mv_count]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=mv_count-result]\n|===\n\nNOTE: This function accepts all types and always returns an `integer`.\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "d06dd418-a248-4661-98f3-77d31f2ee002",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/mv_dedupe.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.25542644,
+ "##d": 0.75054115,
+ "##e": 0.20348266,
+ "##ping": 0.1915804,
+ "del": 0.50786006,
+ "fin": 0.21912327,
+ "styled": 1.2201139,
+ "##frame": 0.057153177,
+ "##l": 1.318747,
+ "##m": 0.11625631,
+ "##p": 0.5752476,
+ "java": 0.82536924,
+ "##s": 0.40421033,
+ "styling": 0.79985225,
+ "dev": 0.17590278,
+ "##v": 1.1707337,
+ "xml": 0.40362185,
+ "notation": 0.13812679,
+ "merge": 1.5628567,
+ "playback": 0.2810442,
+ "merging": 0.14423707,
+ "%": 0.7958398,
+ "tex": 0.16901705,
+ "pool": 0.10298797,
+ "(": 0.043009162,
+ "analysis": 0.41898006,
+ "-": 0.094815575,
+ "tags": 0.6773506,
+ "/": 0.15529451,
+ "sorted": 0.43774647,
+ "miller": 0.24781737,
+ "ax": 0.032735456,
+ "statistical": 0.17463392,
+ "miscellaneous": 0.2786553,
+ "##pe": 1.5193727,
+ "document": 0.082778536,
+ "mid": 0.25959677,
+ "eliminate": 0.5830039,
+ "matrix": 0.1397531,
+ "virus": 0.15937622,
+ "example": 0.46519893,
+ "matching": 0.029013619,
+ "result": 0.8778757,
+ "sd": 0.15141585,
+ "coding": 0.09011394,
+ "vector": 0.29661983,
+ "[": 0.9849871,
+ "fred": 0.33315074,
+ "free": 0.15796152,
+ "]": 0.4689201,
+ "_": 1.0239896,
+ "sep": 0.50320417,
+ "contain": 0.27598017,
+ "d": 0.315594,
+ "column": 0.04305495,
+ "suppress": 0.39311996,
+ "sample": 0.21221136,
+ "cs": 1.2502724,
+ "bug": 0.074919194,
+ "v": 0.6523472,
+ "collaboration": 0.08069506,
+ "##uation": 0.2113448,
+ "|": 0.38340995,
+ "da": 0.48158774,
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+ "dd": 0.27006403,
+ "ass": 0.1810148,
+ "de": 1.2473696,
+ "dh": 0.43708012,
+ "separate": 0.14379755,
+ "anne": 0.5400433,
+ "source": 1.0819868,
+ "specifications": 0.5897633,
+ "operator": 0.36937952,
+ "ds": 1.1536541,
+ "apache": 0.22309168,
+ "separation": 0.0067966944,
+ "exclude": 0.28664562,
+ "results": 0.25545007,
+ "ed": 0.62589234,
+ "which": 0.07447911,
+ "batch": 0.21958536,
+ "duplicate": 1.7769938,
+ "sha": 0.25462592,
+ "modification": 0.047114108,
+ "discrete": 1.9337907,
+ "extract": 0.039936822,
+ "fields": 1.0351902,
+ "formats": 0.40332165,
+ "blank": 0.264995,
+ "memory": 0.026830487,
+ "string": 1.0671095,
+ "import": 0.22786756,
+ "mass": 0.121942565,
+ "video": 0.120462656,
+ "interface": 0.4563965,
+ "remove": 1.2433465,
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+ "prevent": 0.23009507,
+ "sorting": 0.90291953,
+ "divide": 0.0335992,
+ "class": 0.448501,
+ "mask": 0.13176216,
+ "##ue": 0.6332499,
+ "digital": 0.15426436,
+ "cipher": 0.14996429,
+ "##du": 1.5043833,
+ "akin": 5.7883194E-4,
+ "multiple": 0.76379156,
+ "specification": 0.60625076,
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+ "management": 0.09210756,
+ "removal": 0.9850832,
+ "clone": 0.056159552,
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+ "mark": 0.09967639,
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+ "copyright": 0.22037417,
+ "fancy": 0.13573314,
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+ "catalog": 0.0701144,
+ "gage": 0.3678431,
+ "pun": 0.012392543,
+ "rid": 0.45245427,
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+ "jerry": 0.2254054,
+ "text": 0.109572195,
+ "algorithm": 0.6042578,
+ "reduce": 0.26264167,
+ "method": 0.058416393,
+ "gene": 0.39385968,
+ "index": 0.45056877,
+ "removing": 0.40825343,
+ "script": 0.3180949,
+ "field": 1.2989756,
+ "integration": 0.2826746,
+ "style": 0.8709864,
+ "math": 0.22175299,
+ "jude": 0.08419174,
+ "##val": 1.1476032,
+ "##pes": 0.45565516,
+ "flag": 0.015902713,
+ "pattern": 0.27715573,
+ "protection": 0.12165877,
+ "##arat": 0.7962283,
+ "valid": 0.087409414,
+ "file": 0.70673984,
+ "composed": 0.1919326,
+ "copy": 0.7873622,
+ "elimination": 0.2915081,
+ "replication": 0.0437299,
+ "include": 0.9131084,
+ "editor": 0.78530955,
+ "erase": 0.08030185,
+ "may": 0.097230986,
+ "heading": 0.17652807,
+ "display": 0.33989644,
+ "consolidation": 0.051383924,
+ "excel": 0.49180785,
+ "filter": 0.12395057,
+ "removed": 0.13456699,
+ "report": 0.31303084,
+ "organized": 0.29017016,
+ "cod": 0.11303925,
+ "removes": 0.6941914,
+ "discreet": 0.032619387,
+ "checkpoint": 0.67081606,
+ "esq": 1.8376799,
+ "data": 0.55302614,
+ "replica": 0.14139852,
+ "dice": 0.35624713,
+ "forensic": 0.045283537,
+ "spec": 1.5483143,
+ "space": 0.47956982,
+ "protocol": 0.04574998,
+ "tab": 0.31858334,
+ "karen": 0.11483991,
+ "mc": 0.33477512,
+ "continuous": 0.7986612,
+ "function": 0.08441078,
+ "html": 0.19981992,
+ "lap": 0.07921171,
+ "tag": 1.0307411,
+ "buffer": 0.38514093,
+ "combine": 0.4420946,
+ "mp": 0.8156628,
+ "including": 0.37411553,
+ "marshall": 0.12955326,
+ "mr": 0.29061276,
+ "format": 1.130141,
+ "mv": 2.0477402,
+ "archive": 0.35178643,
+ "sort": 1.3227824,
+ "core": 0.30925927,
+ "sequence": 0.22579421,
+ "jamie": 0.062910154,
+ "synth": 0.054932293,
+ "header": 1.148026,
+ "files": 0.22926909,
+ "enforce": 0.0064756554,
+ "differentiation": 0.12041161,
+ "code": 0.019471223,
+ "##duction": 0.15553932,
+ "values": 0.90376467,
+ "cad": 0.4409556,
+ "gil": 0.0011336335,
+ "error": 0.2708271,
+ "percent": 0.2189695,
+ "sql": 0.32172173,
+ "database": 0.4312252,
+ "array": 0.15063666,
+ "##lib": 0.16775453,
+ "value": 0.82360345,
+ "included": 0.08765112,
+ "cleaning": 0.12426593,
+ "control": 0.34091437,
+ "clean": 0.12636416,
+ "command": 0.46482977,
+ "serial": 0.65365744
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-mv_dedupe]]\n=== `MV_DEDUPE`\nRemoves duplicates from a multivalued field. For example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=mv_dedupe]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=mv_dedupe-result]\n|===\n\nNOTE: `MV_DEDUPE` may, but won't always, sort the values in the field.\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "3d353f68-f0f4-4908-bd09-544ea210f4c1",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/mv_functions.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##c": 0.50920326,
+ "functions": 0.951583,
+ "software": 0.2187901,
+ "##g": 0.589753,
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+ "arithmetic": 0.19705899,
+ "##l": 1.4189115,
+ "##m": 0.0351271,
+ "##uid": 0.13300757,
+ "multi": 1.349363,
+ "compatible": 0.11375382,
+ "java": 1.209524,
+ "peg": 0.49760747,
+ "##v": 0.7012167,
+ "model": 0.17306942,
+ "##va": 0.10913962,
+ "jerry": 0.07020753,
+ "algorithm": 0.5816063,
+ "val": 0.23262699,
+ "gene": 0.38782805,
+ "index": 0.7494469,
+ "+": 0.91716486,
+ "analysis": 0.030912561,
+ "script": 0.13583025,
+ "tags": 0.38312614,
+ "as": 0.3629376,
+ "miller": 0.19222066,
+ "av": 1.0123998,
+ "math": 0.82767606,
+ "##val": 1.4396924,
+ "##ran": 0.0051246476,
+ "##pe": 0.6328678,
+ "pattern": 0.047633573,
+ "monte": 0.12848334,
+ "mid": 0.03956827,
+ "sum": 1.2319828,
+ "##bre": 1.122477,
+ "matrix": 0.31266093,
+ "##bra": 0.18748719,
+ "min": 0.77403194,
+ "library": 0.05446357,
+ "julia": 0.10350039,
+ "vector": 0.38588536,
+ "[": 0.31277454,
+ "fred": 0.18353173,
+ "_": 0.8803931,
+ "include": 0.6989854,
+ "editor": 0.59609914,
+ "mat": 0.029794967,
+ "chip": 0.44272104,
+ "middle": 0.22854476,
+ "mini": 0.009607861,
+ "max": 0.8397901,
+ "display": 0.5300148,
+ "column": 0.15926105,
+ "##id": 0.75444186,
+ "excel": 0.28532407,
+ "framework": 0.18289404,
+ "v": 0.32654673,
+ "maximum": 0.58696723,
+ "cod": 0.34952927,
+ "php": 0.0875821,
+ "##cate": 0.015412864,
+ "shaw": 0.05990327,
+ "supported": 0.060414344,
+ "calculation": 0.23369333,
+ "checkpoint": 0.17551468,
+ "de": 0.22484508,
+ "esq": 1.8480287,
+ "con": 0.1715374,
+ "dj": 0.37753072,
+ "precision": 0.030907245,
+ "##cat": 1.4278319,
+ "anne": 0.7513899,
+ "integer": 0.25265718,
+ "ata": 0.30301923,
+ "##ab": 0.90614337,
+ "apache": 0.5510832,
+ "ma": 0.055666372,
+ "mc": 0.22011457,
+ "function": 1.1498123,
+ "html": 0.18570429,
+ "implement": 0.0059456155,
+ "tag": 0.98930776,
+ "buffer": 0.318992,
+ "ed": 0.33334583,
+ "par": 0.1841839,
+ "taylor": 0.048358373,
+ "mp": 0.6985991,
+ "chess": 0.2544969,
+ "including": 0.098124884,
+ "count": 1.1489686,
+ "mv": 1.9179429,
+ "##ido": 1.4070166,
+ "list": 0.9967192,
+ "plus": 0.302833,
+ "core": 0.3180748,
+ "jamie": 0.18291052,
+ "sequence": 0.15887202,
+ "median": 1.3996892,
+ "lists": 0.592848,
+ "##ida": 0.5716066,
+ "decimal": 0.2637288,
+ "support": 0.5155712,
+ "useful": 0.010287002,
+ "code": 0.03046447,
+ "import": 0.06620094,
+ "cad": 0.5354564,
+ "mass": 0.06487726,
+ "title": 0.4582886,
+ "interface": 0.37109914,
+ "sid": 0.52731323,
+ "total": 0.17956905,
+ "database": 0.103468135,
+ "para": 0.040074147,
+ "array": 0.4024291,
+ "##ci": 1.2696164,
+ "david": 0.115870364,
+ "said": 0.20307632,
+ "class": 0.44477373,
+ "value": 0.14556588,
+ "##ue": 1.0991657,
+ "##du": 1.0689092,
+ "keyboard": 0.23850313,
+ "multiple": 0.621116,
+ "serial": 0.7862384,
+ "syntax": 0.39005393,
+ "pub": 0.1973303
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-mv-functions]]\n==== {esql} multivalue functions\n\n++++\nMultivalue functions\n++++\n\n{esql} supports these multivalue functions:\n\n// tag::mv_list[]\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n// end::mv_list[]\n\ninclude::mv_avg.asciidoc[]\ninclude::mv_concat.asciidoc[]\ninclude::mv_count.asciidoc[]\ninclude::mv_dedupe.asciidoc[]\ninclude::mv_max.asciidoc[]\ninclude::mv_median.asciidoc[]\ninclude::mv_min.asciidoc[]\ninclude::mv_sum.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "2d2c25fe-756b-41b9-bc74-d83a81eb1874",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/mv_max.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##d": 0.7575551,
+ "##f": 0.98100835,
+ "fin": 0.012080127,
+ "styled": 1.1501216,
+ "##frame": 0.08238,
+ "##l": 1.4737178,
+ "##m": 0.40959513,
+ "java": 0.98690486,
+ "##s": 0.041485265,
+ "styling": 0.65454537,
+ "dev": 0.33959693,
+ "len": 0.19238068,
+ "pick": 0.88108325,
+ "##v": 1.2243099,
+ "notation": 0.40922236,
+ "jan": 0.14244808,
+ "xml": 0.069457695,
+ "merge": 1.5941328,
+ "calculate": 0.13326375,
+ "%": 0.63837713,
+ "tex": 0.25258273,
+ "pool": 0.06747675,
+ "(": 0.025699023,
+ "picks": 0.3822517,
+ "inspired": 0.007948791,
+ "analysis": 0.2778149,
+ "-": 0.17528251,
+ "tags": 0.51690984,
+ "8": 1.1770214,
+ "comparisons": 0.28149644,
+ "rm": 0.29101768,
+ "=": 0.47350138,
+ "compare": 0.58815837,
+ "mid": 0.12706296,
+ "matrix": 0.28295913,
+ "matching": 0.5098549,
+ "example": 0.4005553,
+ "result": 0.91079855,
+ "into": 0.23279984,
+ "coding": 0.12367503,
+ "sd": 0.057922523,
+ "##or": 0.1638974,
+ "si": 0.2945123,
+ "vector": 0.41843194,
+ "[": 1.1098626,
+ "fred": 0.3073293,
+ "]": 0.6228712,
+ "key": 0.18263914,
+ "_": 1.1243055,
+ "sep": 0.46411318,
+ "contain": 0.16815795,
+ "expression": 0.08639053,
+ "d": 0.31238577,
+ "column": 0.0378486,
+ "cs": 1.2733285,
+ "single": 0.95370054,
+ "v": 0.9724956,
+ "##uation": 0.05344783,
+ "maximum": 1.456564,
+ "|": 0.17829376,
+ "da": 0.123605505,
+ "represent": 0.22633232,
+ "font": 0.08888318,
+ "dd": 0.28507292,
+ "calculation": 0.27441934,
+ "dh": 0.47560662,
+ "converting": 0.33333355,
+ "din": 0.023320451,
+ "anne": 0.48851806,
+ "source": 1.1492485,
+ "specifications": 0.59976363,
+ "operator": 0.2097594,
+ "ds": 1.1030892,
+ "apache": 0.14957626,
+ "ren": 0.4168024,
+ "results": 0.4537005,
+ "ut": 1.1402483,
+ "ed": 0.57820696,
+ "par": 0.17786019,
+ "which": 0.029932998,
+ "chess": 0.18010035,
+ "last": 0.93508726,
+ "batch": 0.090246394,
+ "encoding": 0.09327931,
+ "sha": 0.39069155,
+ "discrete": 1.9697678,
+ "##word": 0.8200744,
+ "converted": 0.33816773,
+ "geometric": 0.43869027,
+ "fields": 1.3910488,
+ "decimal": 0.12499567,
+ "useful": 0.33411258,
+ "formats": 0.42365724,
+ "memory": 0.2365225,
+ "string": 0.97639316,
+ "sources": 0.18272862,
+ "mass": 0.13897048,
+ "choose": 0.25766397,
+ "interface": 0.35969535,
+ "##son": 0.18034007,
+ "representation": 0.94641113,
+ "wave": 0.0072236783,
+ "sid": 0.55965066,
+ "mono": 0.8807059,
+ "sorting": 0.18776396,
+ "divide": 0.09669662,
+ "class": 0.38242933,
+ "conversion": 0.54723835,
+ "##ue": 0.8972774,
+ "cipher": 0.060170233,
+ "digital": 0.05014172,
+ "types": 0.53506196,
+ "multiple": 0.848154,
+ "length": 0.16501077,
+ "specification": 0.6665928,
+ "translation": 0.16097313,
+ "syntax": 0.7265863,
+ "fancy": 0.030647153,
+ "select": 0.51723427,
+ "software": 0.09425703,
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+ "arithmetic": 0.1257113,
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+ "create": 0.040446404,
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+ "serial": 0.50706494,
+ "valued": 1.3318802,
+ "bytes": 0.5029533
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-mv_max]]\n=== `MV_MAX`\nConverts a multivalued field into a single valued field containing the maximum value. For example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=mv_max]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=mv_max-result]\n|===\n\nIt can be used by any field type, including `keyword` fields. In that case picks the\nlast string, comparing their utf-8 representation byte by byte:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=mv_max]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=mv_max-result]\n|===\n"
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+ "category": 0.21944945
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-mv_median]]\n=== `MV_MEDIAN`\nConverts a multivalued field into a single valued field containing the median value. For example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=mv_median]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=mv_median-result]\n|===\n\nIt can be used by any numeric field type and returns a value of the same type. If the\nrow has an even number of values for a column the result will be the average of the\nmiddle two entries. If the field is not floating point then the average rounds *down*:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=mv_median_round_down]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=mv_median_round_down-result]\n|===\n\n"
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+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-mv_min]]\n=== `MV_MIN`\nConverts a multivalued field into a single valued field containing the minimum value. For example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=mv_min]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=mv_min-result]\n|===\n\nIt can be used by any field type, including `keyword` fields. In that case picks the\nfirst string, comparing their utf-8 representation byte by byte:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=mv_min]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=mv_min-result]\n|===\n"
+ }
+ },
+ {
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+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/mv_sum.asciidoc"
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+ "space": 0.3836371,
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+ "continuous": 0.86828333,
+ "function": 0.16821246,
+ "##field": 0.012510631,
+ "create": 0.12957315,
+ "html": 0.2805973,
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+ "blend": 0.052805193,
+ "values": 1.0693057,
+ "cad": 0.18437713,
+ "nu": 0.09178722,
+ "ensemble": 0.19043447,
+ "gil": 0.086690634,
+ "percent": 0.12854049,
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+ "any": 0.20261501,
+ "command": 0.1250144,
+ "serial": 0.48766798,
+ "valued": 1.3321111
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-mv_sum]]\n=== `MV_SUM`\nConverts a multivalued field into a single valued field containing the sum\nof all of the values. For example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=mv_sum]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=mv_sum-result]\n|===\n\nNOTE: The input type can be any number and the output type is the same as the input type.\n"
+ }
+ },
+ {
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+ "tempo": 0.21981981,
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+ "source": 0.39063025,
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+ "operator": 0.10203102,
+ "compute": 0.24579601,
+ "protocol": 0.15473433,
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+ "continuous": 0.94378924,
+ "function": 0.48857117,
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+ "day": 0.51720005,
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+ "core": 0.25553724,
+ "month": 0.02114795,
+ "retrieve": 0.3351738,
+ "next": 0.12924889,
+ "memory": 0.16620223,
+ "boo": 0.015368022,
+ "cad": 0.22712597,
+ "link": 0.005597631,
+ "interface": 0.2948385,
+ "sid": 0.8065176,
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+ "timer": 0.40113226,
+ "times": 0.3087934,
+ "database": 0.051338177,
+ "hour": 0.1907861,
+ "array": 0.16745743,
+ "and": 0.37989596,
+ "now": 1.9334869,
+ "today": 1.0477548,
+ "row": 1.2564416,
+ "##lib": 0.08802726,
+ "class": 0.26147765,
+ "cipher": 0.30820084,
+ "keyboard": 0.09826385,
+ "execution": 1.5782064E-4,
+ "control": 0.18448697,
+ "rows": 0.67660683,
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+ "command": 0.30770013,
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+ "serial": 0.9123326,
+ "syntax": 0.51047826,
+ "time": 1.4234582,
+ "pub": 0.10888403
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-now]]\n=== `NOW`\nReturns current date and time.\n\n[source,esql]\n----\nROW current_date = NOW()\n----\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
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+ "operator": 1.484641,
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+ "finite": 0.8189699,
+ "format": 0.037915055,
+ "comparing": 0.51578635,
+ "##ido": 1.3552556,
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+ "list": 0.81567293,
+ "expressions": 1.2368913,
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+ "##word": 0.08613157,
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+ "##ida": 0.5097681,
+ "geometric": 0.2140793,
+ "decimal": 0.2944878,
+ "##ile": 0.049551975,
+ "cid": 1.28283,
+ "boo": 1.1048737,
+ "code": 0.33567074,
+ "endless": 0.90280837,
+ "gil": 0.16541275,
+ "title": 0.48577422,
+ "interface": 0.35597235,
+ "sql": 0.3983299,
+ "sid": 0.31912932,
+ "nonsense": 0.09610826,
+ "database": 0.01091262,
+ "operations": 0.04265385,
+ "array": 0.114243306,
+ "##ci": 1.272702,
+ "ends": 0.7489653,
+ "end": 0.48096314,
+ "##lib": 0.11347163,
+ "class": 0.77589864,
+ "cipher": 0.020186108,
+ "op": 1.5150559,
+ "keyboard": 0.20992099,
+ "equation": 0.2825984,
+ "match": 1.1264089,
+ "multiple": 0.79724693,
+ "start": 0.46162602,
+ "length": 0.11160431,
+ "counter": 0.090609804,
+ "command": 0.22494866,
+ "consecutive": 0.21961446,
+ "with": 0.93674135,
+ "serial": 0.2158309,
+ "syntax": 0.8553058,
+ "pub": 0.45616055
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-operators]]\n==== {esql} operators\n\n++++\nOperators\n++++\n\nBoolean operators for comparing against one or multiple expressions.\n\n// tag::op_list[]\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n// end::op_list[]\n\ninclude::binary.asciidoc[]\ninclude::logical.asciidoc[]\ninclude::predicates.asciidoc[]\ninclude::cidr_match.asciidoc[]\ninclude::ends_with.asciidoc[]\ninclude::in.asciidoc[]\ninclude::is_finite.asciidoc[]\ninclude::is_infinite.asciidoc[]\ninclude::is_nan.asciidoc[]\ninclude::like.asciidoc[]\ninclude::rlike.asciidoc[]\ninclude::starts_with.asciidoc[]\n"
+ }
+ },
+ {
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+ "_id": "0d470f21-a1b8-48cd-baba-d841179dcd7d",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/percentile.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.5257359,
+ "##c": 0.34920034,
+ "##d": 0.7783019,
+ "fifty": 0.2645875,
+ "##g": 1.2247267,
+ "styled": 0.7042003,
+ "alphabet": 0.087303676,
+ "##frame": 0.07020253,
+ "##l": 1.3823024,
+ "observed": 1.0872834,
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+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-agg-percentile]]\n=== `PERCENTILE`\nThe value at which a certain percentage of observed values occur. For example,\nthe 95th percentile is the value which is greater than 95% of the observed values and\nthe 50th percentile is the <>.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/stats_percentile.csv-spec[tag=percentile]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/stats_percentile.csv-spec[tag=percentile-result]\n|===\n\n[discrete]\n[[esql-agg-percentile-approximate]]\n==== `PERCENTILE` is (usually) approximate\n\ninclude::../../aggregations/metrics/percentile-aggregation.asciidoc[tag=approximate]\n\n[WARNING]\n====\n`PERCENTILE` is also {wikipedia}/Nondeterministic_algorithm[non-deterministic].\nThis means you can get slightly different results using the same data.\n====\n\n\n\n"
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+ "text": "[discrete]\n[[esql-pi]]\n=== `PI`\n[.text-center]\nimage::esql/functions/signature/pi.svg[Embedded,opts=inline]\n\nThe {wikipedia}/Pi[ratio] of a circle's circumference to its diameter.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=pi]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=pi-result]\n|===\n"
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+ "nu": 0.5044978,
+ "cad": 0.29621038,
+ "gil": 0.36276168,
+ "error": 0.87501925,
+ "percent": 0.17340925,
+ "point": 0.7386224,
+ "sql": 0.29209477,
+ "nonsense": 0.08593447,
+ "numerical": 0.70216733,
+ "array": 0.042180706,
+ "floating": 1.5259405,
+ "predict": 0.08307029,
+ "##lib": 0.015747124,
+ "expo": 1.243958,
+ "value": 1.0102897,
+ "chance": 0.4477256,
+ "determine": 0.4107337,
+ "equation": 0.24736238,
+ "raised": 0.583036,
+ "int": 0.40339103,
+ "command": 0.043031655,
+ "inline": 1.5385638,
+ "serial": 0.5471198,
+ "compilation": 0.16712767,
+ "unsigned": 0.09951529,
+ "arguments": 0.79735094
+ },
+ "is_truncated": true,
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-pow]]\n=== `POW`\n[.text-center]\nimage::esql/functions/signature/pow.svg[Embedded,opts=inline]\n\nReturns the value of a base (first argument) raised to the power of an exponent (second argument).\nBoth arguments must be numeric.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=powDI]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=powDI-result]\n|===\n\n[discrete]\n==== Type rules\n\nThe type of the returned value is determined by the types of the base and exponent.\nThe following rules are applied to determine the result type:\n\n* If either of the base or exponent are of a floating point type, the result will be a double\n* Otherwise, if either the base or the exponent are 64-bit (long or unsigned long), the result will be a long\n* Otherwise, the result will be a 32-bit integer (this covers all other numeric types, including int, short and byte)\n\nFor example, using simple integers as arguments will lead to an integer result:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=powII]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=powII-result]\n|===\n\nNOTE: The actual power function is performed using double precision values for all cases.\nThis means that for very large non-floating point values there is a small chance that the\noperation can lead to slightly different answers than expected.\nHowever, a more likely outcome of very large non-floating point values is numerical overflow.\n\n[discrete]\n==== Arithmetic errors\n\nArithmetic errors and numeric overflow do not result in an error. Instead, the result will be `null`\nand a warning for the `ArithmeticException` added.\nFor example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=powULOverrun]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=powULOverrun-warning]\n|===\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=powULOverrun-result]\n|===\n\nIf it is desired to protect against numerical overruns, use `TO_DOUBLE` on either of the arguments:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=pow2d]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=pow2d-result]\n|===\n\n[discrete]\n==== Fractional exponents\n\nThe exponent can be a fraction, which is similar to performing a root.\nFor example, the exponent of `0.5` will give the square root of the base:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=powID-sqrt]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=powID-sqrt-result]\n|===\n\n[discrete]\n==== Table of supported input and output types\n\nFor clarity, the following table describes the output result type for all combinations of numeric input types:\n\ninclude::types/pow.asciidoc[]\n"
+ }
+ },
+ {
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+ "script": 0.33101648,
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+ "ds": 1.1409677,
+ "zero": 0.012890818,
+ "apache": 0.24154533,
+ "continuous": 0.7917723,
+ "intersection": 0.1676133,
+ "html": 0.5466394,
+ "tag": 1.0380476,
+ "buffer": 0.12484617,
+ "results": 0.30658567,
+ "ed": 0.63931364,
+ "combination": 0.057341967,
+ "combine": 0.04729798,
+ "which": 0.15726401,
+ "par": 0.018011464,
+ "dedicated": 0.3486957,
+ "pre": 1.031217,
+ "comparison": 1.4770622,
+ "including": 0.38049063,
+ "chess": 0.18249056,
+ "##ative": 0.014773493,
+ "format": 1.0985363,
+ "eric": 0.14418773,
+ "archive": 0.20085628,
+ "sort": 0.23490256,
+ "list": 0.0798342,
+ "sha": 0.28570068,
+ "discrete": 1.854426,
+ "core": 0.30843365,
+ "jamie": 0.15300302,
+ "sequence": 0.06953554,
+ "null": 2.2103627,
+ "alan": 0.15879035,
+ "lists": 0.10555688,
+ "header": 1.1115732,
+ "lisa": 0.15396027,
+ "dash": 0.12969954,
+ "vs": 0.03197418,
+ "blank": 0.5994513,
+ "legacy": 0.504574,
+ "formats": 0.29500368,
+ "code": 0.22984919,
+ "string": 0.16141866,
+ "sources": 0.10482999,
+ "gil": 0.25577375,
+ "non": 0.81320435,
+ "error": 0.44251275,
+ "interface": 0.04050811,
+ "percent": 0.1211071,
+ "sid": 0.7520162,
+ "sql": 0.51792693,
+ "mono": 1.1593287,
+ "##dication": 0.2661342,
+ "not": 1.2140143,
+ "database": 0.52981323,
+ "synonym": 0.16524169,
+ "array": 0.08377173,
+ "similarity": 0.18966892,
+ "bland": 0.46061602,
+ "lang": 0.15133071,
+ "class": 0.65888166,
+ "value": 0.029027052,
+ "citation": 0.20887193,
+ "spelling": 0.19353479,
+ "match": 0.09431279,
+ "length": 0.09347226,
+ "specification": 0.6844293,
+ "separated": 0.021867821,
+ "label": 0.22652604,
+ "serial": 0.5557327,
+ "syntax": 0.698363,
+ "pub": 0.19479062,
+ "category": 0.13604586,
+ "mark": 0.12399912
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-predicates]]\n=== `IS NULL` and `IS NOT NULL` predicates\n\nFor NULL comparison, use the `IS NULL` and `IS NOT NULL` predicates:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/null.csv-spec[tag=is-null]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/null.csv-spec[tag=is-null-result]\n|===\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/null.csv-spec[tag=is-not-null]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/null.csv-spec[tag=is-not-null-result]\n|===\n"
+ }
+ },
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+ "science": 0.17425865,
+ "except": 0.11192817,
+ "=": 0.1633974,
+ "functional": 0.12778793,
+ "worlds": 0.9287521,
+ "miscellaneous": 0.33671,
+ "document": 0.5259542,
+ "another": 0.17181271,
+ "mid": 0.20905282,
+ "global": 0.3637463,
+ "matrix": 0.15501583,
+ "virus": 0.3014386,
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+ "script": 0.5132905,
+ "doc": 1.2766039,
+ "style": 0.85933274,
+ "math": 0.62807864,
+ "word": 0.6039193,
+ "jude": 0.24236304,
+ "pattern": 0.7066153,
+ "irregular": 0.46698272,
+ "occurrence": 1.0925528,
+ "substitute": 1.4114945,
+ "##arat": 0.8769975,
+ "world": 1.7495983,
+ "file": 0.502481,
+ "composed": 0.30979592,
+ "regular": 1.5932345,
+ "include": 0.75993603,
+ "editor": 0.6018525,
+ "continuum": 0.7701631,
+ "change": 0.31763452,
+ "2nd": 0.3529809,
+ "cosmos": 0.10705375,
+ "consolidation": 0.10669906,
+ "excel": 0.2646379,
+ "cod": 0.50814164,
+ "checkpoint": 0.07324024,
+ "esq": 1.9777325,
+ "argument": 1.2231572,
+ "instance": 0.37049177,
+ "data": 0.1510412,
+ "replace": 1.664782,
+ "dice": 0.2399746,
+ "celestial": 0.3060445,
+ "spec": 1.6972747,
+ "space": 0.66930026,
+ "translate": 0.4726321,
+ "second": 0.17765601,
+ "plain": 0.14085536,
+ "function": 1.4948381,
+ "continuous": 0.74678046,
+ "html": 0.45541802,
+ "lap": 0.28483024,
+ "tag": 1.0254391,
+ "expressed": 0.22515815,
+ "combine": 0.3432072,
+ "including": 0.1996729,
+ "3rd": 0.6177941,
+ "swap": 0.10409731,
+ "substitutes": 1.1624173,
+ "created": 0.45593652,
+ "format": 1.1236968,
+ "mu": 0.101094276,
+ "archive": 0.31965846,
+ "core": 0.3866592,
+ "jamie": 0.2906774,
+ "sequence": 0.20177943,
+ "null": 1.8107407,
+ "substituted": 0.36398962,
+ "header": 1.0438231,
+ "dash": 0.0032272658,
+ "replacement": 1.470599,
+ "substitution": 0.73324203,
+ "code": 0.16003416,
+ "legacy": 0.13599382,
+ "boo": 0.12937458,
+ "blend": 0.02179574,
+ "gil": 0.35278565,
+ "error": 0.54587996,
+ "percent": 0.30352396,
+ "sql": 0.49957263,
+ "nonsense": 0.122417524,
+ "para": 0.05291419,
+ "array": 0.053209137,
+ "parameter": 0.06882994,
+ "craig": 0.08705173,
+ "said": 0.017954443,
+ "match": 1.3823216,
+ "any": 0.30828914,
+ "command": 0.04315737,
+ "third": 0.4098546,
+ "serial": 0.14411715,
+ "earth": 0.5293731,
+ "arguments": 1.0839615,
+ "category": 0.080956645
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-replace]]\n=== `REPLACE`\nThe function substitutes in the string (1st argument) any match of the regular expression (2nd argument) with the replacement string (3rd argument).\n\nIf any of the arguments are `NULL`, the result is `NULL`.\n\n. This example replaces an occurrence of the word \"World\" with the word \"Universe\":\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=replaceString]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=replaceString-result]\n|===\n"
+ }
+ },
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+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/right.asciidoc"
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+ "alphabet": 0.23345804,
+ "##frame": 0.10407356,
+ "##l": 1.4970101,
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+ "elmer": 0.35636324,
+ "java": 0.7943966,
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+ "styling": 0.6345335,
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+ "xml": 0.05738733,
+ "retrieval": 0.028265385,
+ "merge": 1.5876297,
+ "merging": 0.1171655,
+ "%": 0.5463217,
+ "tex": 0.046960115,
+ "'": 0.51475984,
+ "(": 0.005390276,
+ "inspired": 0.02096726,
+ "analysis": 0.09911008,
+ "-": 0.08924719,
+ "tags": 0.3166039,
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+ "as": 0.3758132,
+ "cue": 0.07044598,
+ "left": 0.20588629,
+ "unicode": 0.008552826,
+ "extracts": 0.86513555,
+ "starting": 0.69459784,
+ "compression": 0.05247201,
+ "sub": 1.0241762,
+ "functional": 0.10132935,
+ "miscellaneous": 0.10139592,
+ "document": 0.2502099,
+ "matrix": 0.124904454,
+ "virus": 0.11158725,
+ "long": 0.5729621,
+ "matching": 0.040489223,
+ "result": 0.8804743,
+ "characters": 0.46835047,
+ "vector": 0.52029955,
+ "[": 0.53646755,
+ "fred": 0.5281438,
+ "embedded": 1.4415003,
+ "graphic": 0.80783784,
+ "sep": 0.327506,
+ "_": 0.3210148,
+ "sami": 0.1877599,
+ "`": 0.17206356,
+ "sv": 1.1962359,
+ "column": 0.43520078,
+ "right": 1.643207,
+ "sample": 0.0507616,
+ "cs": 1.363875,
+ "v": 0.08084428,
+ "collaboration": 0.037730254,
+ "##uation": 0.038544737,
+ "returned": 0.7357193,
+ "|": 0.23794766,
+ "}": 0.23664801,
+ "da": 0.112628944,
+ "supported": 0.70320016,
+ "font": 0.533414,
+ "ass": 0.29878652,
+ "dd": 0.012376648,
+ "standard": 0.007938383,
+ "symbol": 0.06970633,
+ "dh": 0.3039518,
+ "anne": 0.7256836,
+ "retrieved": 0.4764714,
+ "source": 0.5498828,
+ "specifications": 0.57581323,
+ "ds": 1.0730115,
+ "apache": 0.13101152,
+ "segment": 0.03285601,
+ "results": 0.1364708,
+ "ed": 0.5572937,
+ "par": 0.07218696,
+ "image": 0.89360404,
+ "sha": 0.43667102,
+ "##ca": 0.060888924,
+ "discrete": 1.8729066,
+ "opt": 1.4050612,
+ "extract": 1.4100289,
+ "fields": 0.07729437,
+ "support": 0.30656752,
+ "coin": 0.15643522,
+ "opted": 0.41222024,
+ "formats": 0.3271519,
+ "string": 1.5754784,
+ "import": 0.17459458,
+ "video": 0.048874244,
+ "interface": 0.31678376,
+ "##son": 0.024980512,
+ "remove": 0.29996136,
+ "sid": 0.6391343,
+ "mono": 0.9860566,
+ "##st": 1.1538577,
+ "plot": 0.015041034,
+ "##ci": 1.3263994,
+ "class": 0.13936016,
+ "mask": 0.28807944,
+ "cipher": 0.30057994,
+ "digital": 0.009523083,
+ "types": 1.1983157,
+ "center": 0.89280874,
+ "length": 1.8127487,
+ "specification": 0.71832484,
+ "scribe": 0.050729986,
+ "print": 0.05162464,
+ "syntax": 0.2735543,
+ "pub": 0.23621313,
+ "mark": 0.07434178,
+ "merger": 0.07191132,
+ "fancy": 0.2311539,
+ "software": 0.27102414,
+ "gage": 0.27925792,
+ "pun": 0.03338616,
+ "during": 0.15368778,
+ "type": 0.91974324,
+ "signatures": 0.59791565,
+ "peg": 0.7992927,
+ "slice": 0.02807427,
+ "##space": 0.9904787,
+ "text": 1.0277436,
+ "jerry": 0.41482598,
+ "flow": 0.03641521,
+ "algorithm": 0.5999642,
+ "images": 0.22309348,
+ "method": 0.0712125,
+ "gene": 0.37059274,
+ "index": 0.65430135,
+ "signed": 0.5368809,
+ "swiss": 0.034831952,
+ "extraction": 0.56438637,
+ "script": 0.49047014,
+ "style": 0.8516584,
+ "math": 0.44282684,
+ "jude": 0.09416188,
+ "template": 0.21776871,
+ "longest": 0.48333606,
+ "flag": 0.08181929,
+ "signature": 1.5067271,
+ "jp": 0.36104527,
+ "pattern": 0.4414664,
+ "stamp": 0.010373838,
+ "##ring": 1.2696179,
+ "sequences": 0.23042072,
+ "##arat": 0.58939505,
+ "file": 0.7617295,
+ "composed": 0.010605994,
+ "julia": 0.010763801,
+ "eddy": 0.10521571,
+ "copy": 0.04477801,
+ "include": 0.8321495,
+ "editor": 0.65936905,
+ "mat": 0.047374956,
+ "heading": 0.0763304,
+ "display": 0.40929607,
+ "##id": 0.5476748,
+ "consolidation": 0.0809883,
+ "excel": 0.20489806,
+ "fetch": 0.28120473,
+ "char": 1.404884,
+ "cod": 0.23206115,
+ "return": 0.8734262,
+ "discreet": 0.031751785,
+ "checkpoint": 0.3324661,
+ "esq": 2.1424656,
+ "data": 0.35476705,
+ "sign": 0.42142978,
+ "spec": 1.6539015,
+ "space": 0.44098952,
+ "protocol": 0.02032559,
+ "function": 1.0122172,
+ "continuous": 0.6955359,
+ "logo": 0.14922771,
+ "html": 0.5037837,
+ "lap": 0.23209877,
+ "tag": 0.92855954,
+ "buffer": 0.29080102,
+ "including": 0.36150634,
+ "format": 1.0655298,
+ "capture": 0.23567617,
+ "##ido": 1.5849645,
+ "archive": 0.4608753,
+ "sort": 0.18871675,
+ "tool": 0.19315948,
+ "sequence": 0.44574633,
+ "core": 0.4060825,
+ "jamie": 0.31137675,
+ "##ida": 0.30042732,
+ "header": 1.1225355,
+ "retrieve": 0.6636502,
+ "code": 0.18559627,
+ "blend": 0.068836056,
+ "cad": 0.720449,
+ "roc": 0.08470205,
+ "gil": 0.2733515,
+ "percent": 0.08888983,
+ "para": 0.23294745,
+ "array": 0.1467619,
+ "##lib": 0.059473153,
+ "keyboard": 0.19672073,
+ "command": 0.06767362,
+ "inline": 1.3973578,
+ "lengths": 0.78725874,
+ "serial": 0.7065623
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-right]]\n=== `RIGHT`\n[.text-center]\nimage::esql/functions/signature/right.svg[Embedded,opts=inline]\n\nReturn the substring that extracts 'length' chars from the 'string' starting from the right.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=right]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=right-result]\n|===\n\nSupported types:\n\ninclude::types/right.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "dc470cb0-ed9b-4822-82af-ab08dc2a3ad4",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/rlike.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.026595451,
+ "##ex": 1.4114281,
+ "software": 0.30159733,
+ "##j": 0.66006196,
+ "del": 0.012768538,
+ "alphabet": 0.082857326,
+ "##l": 1.2878472,
+ "##p": 1.0502049,
+ "robot": 0.14381026,
+ "##r": 0.4041944,
+ "java": 1.1322412,
+ "peg": 0.6174615,
+ "filtered": 0.29348874,
+ "corner": 0.2225645,
+ "len": 0.1699255,
+ "notation": 0.1074808,
+ "jerry": 0.08032045,
+ "filtering": 1.1267682,
+ "manipulation": 0.17852035,
+ "loren": 0.002522622,
+ "algorithm": 0.7225057,
+ "based": 0.4821579,
+ "using": 0.4113145,
+ "gene": 0.40554616,
+ "'": 0.12792851,
+ "index": 0.3810921,
+ "*": 0.32533488,
+ "analysis": 0.14434376,
+ "-": 0.22618002,
+ "##like": 1.9110805,
+ "script": 0.44957075,
+ "solomon": 0.07402212,
+ "node": 0.024463449,
+ "field": 1.0702615,
+ "left": 1.0164032,
+ "anal": 0.003917996,
+ "analyze": 0.13067129,
+ "ax": 0.078705646,
+ "math": 0.49097282,
+ "placement": 0.13222057,
+ "ro": 0.22953843,
+ "hash": 0.051818553,
+ "server": 0.16828197,
+ "##jas": 0.42634618,
+ "##vin": 0.3165866,
+ "pattern": 1.7223294,
+ "save": 0.040627502,
+ "facing": 0.16738957,
+ "##ha": 0.15445632,
+ "##jan": 0.011462545,
+ "irregular": 0.53549564,
+ "sequences": 0.41227233,
+ "literal": 1.0233259,
+ "example": 0.019739496,
+ "remember": 0.10617391,
+ "search": 0.3762613,
+ "computer": 0.10696667,
+ "file": 0.26557067,
+ "strings": 0.2008121,
+ "operators": 0.88702035,
+ "russell": 0.3881044,
+ "surname": 0.33905283,
+ "where": 0.44681278,
+ "vector": 0.22918804,
+ "fred": 0.3830117,
+ "[": 0.20048262,
+ "workers": 0.7859375,
+ "]": 0.00578432,
+ "regular": 1.466655,
+ "hand": 0.64356005,
+ "_": 0.5988062,
+ "sami": 0.0030712362,
+ "`": 0.10241696,
+ "editor": 0.74838734,
+ "side": 1.1204609,
+ "expression": 1.1379585,
+ "keeping": 0.29891014,
+ "more": 0.09753229,
+ "display": 0.047875423,
+ "spirit": 0.60761666,
+ "representing": 0.12573591,
+ "right": 0.7828777,
+ "l": 0.3862901,
+ "nice": 0.2735744,
+ "filter": 1.7328662,
+ "excel": 0.31639272,
+ "r": 1.7705563,
+ "names": 0.35224015,
+ "machine": 0.23455547,
+ "le": 1.1220784,
+ "cod": 0.1711893,
+ "z": 0.028965794,
+ "paul": 0.09628854,
+ "operation": 0.48288605,
+ "first": 0.24843583,
+ "represent": 0.65597075,
+ "ass": 0.21992478,
+ "checkpoint": 0.13593556,
+ "symbol": 0.32898045,
+ "esq": 1.8495735,
+ "panda": 0.019640729,
+ "constant": 0.8625819,
+ "data": 1.2196656,
+ "perfect": 0.21615873,
+ "use": 0.31440526,
+ "dj": 0.0026245217,
+ "##ja": 1.7587295,
+ "anne": 0.31350008,
+ "nur": 0.04420562,
+ "##je": 0.6868655,
+ "employee": 1.0886972,
+ "blog": 0.0032122938,
+ "operator": 1.4906704,
+ "mode": 0.06851096,
+ "act": 0.5462709,
+ "apache": 0.22612278,
+ "tab": 0.10048898,
+ "reg": 1.4544587,
+ "function": 0.16175254,
+ "implement": 0.24782006,
+ "ed": 0.58486557,
+ "par": 0.13434982,
+ "which": 0.03388976,
+ "chess": 0.24684525,
+ "mp": 0.07049486,
+ "last": 0.65484494,
+ "like": 1.2649349,
+ "initials": 0.34816286,
+ "patterns": 1.4734046,
+ "archive": 0.12361952,
+ "sort": 0.5155999,
+ "expressions": 0.67998797,
+ "tool": 0.15817596,
+ "tutor": 0.12875809,
+ "core": 0.38040295,
+ "sequence": 0.15578377,
+ "disk": 0.36069068,
+ "##word": 0.080718815,
+ "##jo": 0.16452588,
+ "keep": 0.7854748,
+ "colleagues": 0.23666881,
+ "name": 0.46872872,
+ "disc": 1.3120217,
+ "##ju": 0.13806158,
+ "employees": 1.1529236,
+ "fields": 0.72051555,
+ "useful": 0.16444771,
+ "code": 0.21071233,
+ "boo": 0.10661334,
+ "string": 1.4183111,
+ "##eti": 0.5287978,
+ "import": 0.17449185,
+ "student": 0.119840644,
+ "bot": 0.52726823,
+ "blend": 0.12155807,
+ "roc": 0.20047677,
+ "##ete": 1.3017839,
+ "link": 0.047398943,
+ "interface": 0.16366616,
+ "representation": 0.34173208,
+ "remove": 0.6000388,
+ "sid": 0.5415345,
+ "sql": 0.4294506,
+ "database": 0.15254791,
+ "sorting": 0.028803768,
+ "class": 0.4708021,
+ "mask": 0.4413174,
+ "direction": 0.110900044,
+ "cipher": 0.36984485,
+ "keyboard": 0.25036934,
+ "control": 0.07781229,
+ "filters": 1.0673875,
+ "command": 0.298685,
+ "##ress": 0.34069854,
+ "serial": 0.35018307,
+ "motifs": 0.4849439,
+ "poly": 0.056963675,
+ "syntax": 1.1423628,
+ "user": 0.18872681
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discete]\n[[esql-rlike-operator]]\n==== `RLIKE`\n\nUse `RLIKE` to filter data based on string patterns using using\n<>. `RLIKE` usually acts on a field placed on\nthe left-hand side of the operator, but it can also act on a constant (literal)\nexpression. The right-hand side of the operator represents the pattern.\n\n[source,esql]\n----\nFROM employees\n| WHERE first_name RLIKE \".leja.*\"\n| KEEP first_name, last_name\n----"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "280322a0-075e-481f-80a1-e8a605206661",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/round.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.08508522,
+ "fancy": 0.1794485,
+ "mod": 0.21284278,
+ "##d": 0.5430566,
+ "gage": 0.36384174,
+ "pun": 0.24848947,
+ "arithmetic": 0.39743993,
+ "fin": 0.4217027,
+ "styled": 0.9592719,
+ "##frame": 0.23994835,
+ "alphabet": 0.025886063,
+ "##l": 1.491055,
+ "fingers": 0.028266545,
+ "type": 0.01385958,
+ "division": 0.06890705,
+ "number": 1.0177252,
+ "java": 0.8327599,
+ "peg": 0.5225526,
+ "##s": 9.455977E-4,
+ "styling": 0.5365777,
+ "len": 0.28135058,
+ "##v": 1.2350746,
+ "notation": 0.7069961,
+ "xml": 0.29857147,
+ "jan": 0.13411976,
+ "merge": 1.4665549,
+ "rank": 0.01688474,
+ "##space": 1.0106906,
+ "jerry": 0.42840663,
+ "near": 0.20612262,
+ "text": 0.08071486,
+ "algorithm": 0.8490647,
+ "shape": 0.3967011,
+ "method": 0.1632432,
+ "%": 0.6680256,
+ "gene": 0.2543601,
+ "tex": 0.07858664,
+ "'": 0.23652211,
+ "specify": 0.74620676,
+ "index": 0.53624153,
+ "circular": 0.31083736,
+ "-": 0.37805295,
+ "script": 0.13752803,
+ "tags": 0.43542725,
+ "0": 1.176311,
+ "provide": 0.34592018,
+ "size": 0.20794107,
+ "left": 0.65405273,
+ "determined": 0.11107459,
+ "doc": 1.1751311,
+ "rounded": 0.6251999,
+ "style": 0.79469043,
+ "math": 0.95077187,
+ "=": 0.3285054,
+ "minus": 0.61232835,
+ "statistical": 0.023775361,
+ "document": 0.49854365,
+ "pattern": 0.26924273,
+ "specified": 0.72006935,
+ "result": 0.9229947,
+ "##arat": 0.6478911,
+ "characters": 0.34665206,
+ "into": 0.037023436,
+ "default": 1.4995207,
+ "file": 0.3302974,
+ "composed": 0.12021089,
+ "term": 0.3903601,
+ "where": 0.026167486,
+ "[": 0.9766855,
+ "fred": 0.28272572,
+ "multiplication": 0.2457645,
+ "eddy": 0.032072894,
+ "]": 0.5614186,
+ "close": 0.48919234,
+ "_": 0.46719882,
+ "sep": 0.19651537,
+ "cc": 0.16693904,
+ "include": 0.38481402,
+ "editor": 0.38248983,
+ "d": 0.42644447,
+ "heading": 0.041722775,
+ "display": 0.10751516,
+ "column": 0.4927444,
+ "rounding": 1.0066344,
+ "consolidation": 0.061847046,
+ "fraction": 0.13949008,
+ "cs": 1.4060612,
+ "excel": 0.48793462,
+ "v": 0.27994645,
+ "isa": 0.10265162,
+ "##uation": 0.24870387,
+ "cod": 0.16147657,
+ "digits": 1.2127681,
+ "to": 0.30081564,
+ "|": 0.31275144,
+ "operation": 0.2832196,
+ "certain": 0.16556622,
+ "chart": 0.15364014,
+ "da": 0.0029370526,
+ "rounds": 1.56033,
+ "mathematical": 0.054495856,
+ "font": 0.049107164,
+ "calculation": 0.30479097,
+ "checkpoint": 0.25483438,
+ "ass": 0.18915305,
+ "dd": 0.11947057,
+ "standard": 0.037731975,
+ "symbol": 0.124034606,
+ "esq": 1.939724,
+ "dh": 0.31104115,
+ "data": 0.09626873,
+ "precision": 0.37647444,
+ "numbers": 0.73113936,
+ "dice": 0.377225,
+ "anne": 0.555418,
+ "integer": 0.7057204,
+ "nearest": 1.0149095,
+ "specifications": 0.5720374,
+ "spec": 1.7546088,
+ "space": 0.2984853,
+ "operator": 0.19911526,
+ "trial": 0.0873158,
+ "ds": 1.0371021,
+ "zero": 0.93550384,
+ "apache": 0.22348939,
+ "tab": 0.012726049,
+ "continuous": 0.7247755,
+ "function": 0.15658037,
+ "segment": 0.05711568,
+ "lap": 0.4406559,
+ "html": 0.39057902,
+ "tag": 0.89472324,
+ "results": 0.3297647,
+ "digit": 0.8953407,
+ "ed": 0.8147326,
+ "tower": 0.08761879,
+ "which": 0.17192273,
+ "par": 0.120643355,
+ "chess": 0.3023837,
+ "format": 1.1148587,
+ "batch": 0.23028864,
+ "archive": 0.116947904,
+ "sort": 0.55692095,
+ "sha": 0.21297815,
+ "discrete": 1.932392,
+ "square": 0.99170417,
+ "sequence": 0.3355525,
+ "core": 0.15810645,
+ "jamie": 0.14986794,
+ "unit": 0.107608624,
+ "expand": 0.06512223,
+ "geometric": 0.2769007,
+ "header": 1.0258825,
+ "files": 0.06383604,
+ "decimal": 1.427085,
+ "dash": 0.120742775,
+ "coin": 0.11528872,
+ "no": 0.21327946,
+ "formats": 0.33286056,
+ "code": 0.021372017,
+ "distance": 0.3158735,
+ "provided": 0.7835906,
+ "shaped": 0.2965126,
+ "nu": 0.18188499,
+ "rule": 0.20599583,
+ "gil": 0.50999284,
+ "error": 0.026111858,
+ "percent": 0.2568489,
+ "point": 0.46244282,
+ "wave": 0.11894479,
+ "sid": 0.61039144,
+ "sql": 0.3819582,
+ "mono": 0.9521469,
+ "numerical": 0.1988029,
+ "negative": 1.4329437,
+ "repeat": 0.08138037,
+ "definition": 0.020134237,
+ "##lib": 0.11563496,
+ "class": 0.25143746,
+ "value": 0.043044217,
+ "direction": 0.100138426,
+ "match": 0.0416122,
+ "specification": 0.66961354,
+ "specific": 0.18730986,
+ "command": 0.3400264,
+ "with": 0.062207926,
+ "round": 1.946995,
+ "serial": 0.2758273,
+ "syntax": 0.76355207,
+ "pub": 0.16796811,
+ "merger": 0.08640639,
+ "closest": 1.2626033
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-round]]\n=== `ROUND`\nRounds a number to the closest number with the specified number of digits.\nDefaults to 0 digits if no number of digits is provided. If the specified number\nof digits is negative, rounds to the number of digits left of the decimal point.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=round]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=round-result]\n|===\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "c8f90cbb-d21e-4f74-92bb-c9eb8717b3fb",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/rtrim.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.3277725,
+ "##d": 0.7109957,
+ "leading": 0.94793683,
+ "del": 0.28209946,
+ "fin": 0.16321759,
+ "styled": 1.173631,
+ "##frame": 0.13436013,
+ "alphabet": 0.088665664,
+ "##l": 1.3049097,
+ "##r": 0.31590626,
+ "character": 0.08296343,
+ "trailing": 1.7423532,
+ "java": 0.6953182,
+ "##s": 0.19411588,
+ "styling": 0.77305996,
+ "len": 0.19273427,
+ "dev": 0.13011672,
+ "trim": 0.059094094,
+ "##v": 1.1514069,
+ "xml": 0.33590472,
+ "notation": 0.24326167,
+ "merge": 1.7124441,
+ "record": 0.0707348,
+ "merging": 0.25044295,
+ "%": 0.9546564,
+ "tex": 0.091158204,
+ "'": 9.0498495E-4,
+ "(": 0.012696034,
+ ")": 0.007697208,
+ "analysis": 0.050666753,
+ "-": 0.15394033,
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+ "control": 0.18922517,
+ "command": 0.449237,
+ "serial": 0.57775545,
+ "slash": 0.07175766
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-rtrim]]\n=== `RTRIM`\nRemoves trailing whitespaces from strings.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=rtrim]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=rtrim-result]\n|===\n"
+ }
+ },
+ {
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+ "sheet": 0.029789181,
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+ "inline": 1.1670735,
+ "serial": 0.042660933,
+ "formula": 0.18956804,
+ "online": 0.14929825,
+ "pub": 0.257826
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-sin]]\n=== `SIN`\n[.text-center]\nimage::esql/functions/signature/sin.svg[Embedded,opts=inline]\n\nhttps://en.wikipedia.org/wiki/Sine_and_cosine[Sine] trigonometric function.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/floats.csv-spec[tag=sin]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/floats.csv-spec[tag=sin-result]\n|===\n\nSupported types:\n\ninclude::types/sin.asciidoc[]\n"
+ }
+ },
+ {
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+ "_id": "68359fda-ffd0-4a87-9942-8f1277b0fd20",
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+ "text.keyword"
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+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/sinh.asciidoc"
+ },
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+ "function": 1.2728047,
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+ "segment": 0.07575844,
+ "html": 0.5738033,
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+ "tag": 0.64592695,
+ "signal": 0.06579998,
+ "hyper": 1.6770335,
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+ "combine": 0.03183262,
+ "tan": 0.33648354,
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+ "format": 0.8481103,
+ "eric": 2.0037073E-4,
+ "##ido": 1.5185134,
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+ "gil": 0.52361405,
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+ "wave": 0.3180943,
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+ "random": 0.009234574,
+ "database": 0.22759958,
+ "para": 0.26217824,
+ "plot": 0.2853712,
+ "##ch": 0.27237102,
+ "array": 0.21643287,
+ "##ci": 1.4134889,
+ "floating": 1.0100747,
+ "sin": 1.9406251,
+ "alias": 0.14291681,
+ "class": 0.42001686,
+ "cipher": 0.20801581,
+ "digital": 0.1529039,
+ "types": 1.140276,
+ "equation": 0.55624145,
+ "center": 0.101922825,
+ "specification": 0.50817025,
+ "inline": 1.1608638,
+ "serial": 0.08089222,
+ "online": 0.015777165
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-sinh]]\n=== `SINH`\n[.text-center]\nimage::esql/functions/signature/sinh.svg[Embedded,opts=inline]\n\nhttps://en.wikipedia.org/wiki/Hyperbolic_functions[Sine] hyperbolic function.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/floats.csv-spec[tag=sinh]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/floats.csv-spec[tag=sinh-result]\n|===\n\nSupported types:\n\ninclude::types/sinh.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "1d1822f0-f2e0-402b-b851-96ecff41c614",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/split.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.4898832,
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+ "bar": 1.1782465,
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+ "compilation": 0.09409385,
+ "valued": 1.1944164,
+ "bytes": 0.539506
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-split]]\n=== `SPLIT`\nSplit a single valued string into multiple strings. For example:\n\n[source,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=split]\n----\n\nWhich splits `\"foo;bar;baz;qux;quux;corge\"` on `;` and returns an array:\n\n[%header,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=split-result]\n|===\n\nWARNING: Only single byte delimiters are currently supported.\n"
+ }
+ },
+ {
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+ "serial": 0.26355138,
+ "syntax": 0.25487283,
+ "##ert": 0.045793366
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-sqrt]]\n=== `SQRT`\n[.text-center]\nimage::esql/functions/signature/sqrt.svg[Embedded,opts=inline]\n\nReturns the square root of a number. The input can be any numeric value, the return value\nis always a double.\n\nSquare roots of negative numbers are NaN. Square roots of infinites are infinite.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=sqrt]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=sqrt-result]\n|===\n\nSupported types:\n\ninclude::types/sqrt.asciidoc[]\n"
+ }
+ },
+ {
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+ },
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+ "return": 0.58256,
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+ "discreet": 0.092779875,
+ "indicator": 0.37611008,
+ "checkpoint": 0.33953097,
+ "esq": 2.0738099,
+ "data": 0.24565718,
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+ "spec": 1.873597,
+ "space": 0.31700101,
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+ "function": 0.9532737,
+ "continuous": 0.75794667,
+ "html": 0.5026724,
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+ "tag": 0.86808676,
+ "buffer": 0.034936715,
+ "adam": 0.010264112,
+ "including": 0.4620842,
+ "initials": 0.04957693,
+ "format": 0.9906019,
+ "##ido": 1.5038493,
+ "archive": 0.28629452,
+ "finished": 0.010254672,
+ "sort": 0.16267075,
+ "jamie": 0.42635986,
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+ "core": 0.21923234,
+ "ending": 0.057010856,
+ "##ida": 0.32089633,
+ "header": 1.1006719,
+ "retrieve": 0.17777407,
+ "files": 0.016899275,
+ "##words": 0.54966307,
+ "carly": 0.05373324,
+ "boo": 1.2521751,
+ "code": 0.29452038,
+ "differentiation": 0.10652825,
+ "keys": 0.26095536,
+ "cad": 0.26095638,
+ "gil": 0.25397533,
+ "percent": 0.082202025,
+ "sql": 0.16369349,
+ "database": 0.1094583,
+ "para": 0.13330068,
+ "predict": 0.07861738,
+ "included": 0.3070153,
+ "chance": 0.07430637,
+ "determine": 0.1658463,
+ "match": 0.3592483,
+ "exactly": 0.08675151,
+ "command": 0.17257649,
+ "inline": 1.4115393,
+ "serial": 0.7829594
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-starts_with]]\n=== `STARTS_WITH`\n[.text-center]\nimage::esql/functions/signature/ends_with.svg[Embedded,opts=inline]\n\nReturns a boolean that indicates whether a keyword string starts with another\nstring:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=startsWith]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=startsWith-result]\n|===\n\nSupported types:\n\ninclude::types/starts_with.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "3d71dac6-9d56-4fe0-86bf-bc81b89cced7",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/string_functions.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##c": 0.5660733,
+ "functions": 1.1212239,
+ "software": 0.18639897,
+ "alphabet": 0.31283453,
+ "##l": 1.4752287,
+ "type": 0.028477551,
+ "java": 1.1649619,
+ "peg": 0.6512163,
+ "trim": 1.2980049,
+ "##v": 0.6815831,
+ "jan": 0.09177167,
+ "jerry": 0.3247996,
+ "algorithm": 0.43849382,
+ "gene": 0.3629322,
+ "tex": 0.07038954,
+ "index": 0.7676616,
+ "+": 1.0700101,
+ "analysis": 0.118291005,
+ "script": 0.2194282,
+ "tags": 0.51016206,
+ "as": 0.36674976,
+ "cue": 0.21576941,
+ "left": 1.0502944,
+ "unicode": 0.17135693,
+ "math": 0.67110896,
+ "sub": 0.5310177,
+ "##ran": 0.032757837,
+ "rt": 0.6337625,
+ "functional": 0.31028894,
+ "longest": 0.35954717,
+ "##ler": 0.14863843,
+ "##rim": 1.4160658,
+ "pattern": 0.271293,
+ "##bre": 1.2606657,
+ "##ring": 0.7219147,
+ "long": 0.1460076,
+ "##bra": 0.2083738,
+ "file": 0.20821205,
+ "strings": 0.22040619,
+ "julia": 0.029379481,
+ "supports": 0.09597972,
+ "vector": 0.016945455,
+ "[": 0.5241038,
+ "fred": 0.2629764,
+ "_": 0.7860909,
+ "include": 0.8419163,
+ "editor": 0.71803296,
+ "expression": 0.112974726,
+ "contain": 0.056422442,
+ "display": 0.1583808,
+ "column": 0.35668215,
+ "##id": 0.73402303,
+ "sharp": 0.12899472,
+ "cod": 0.49344927,
+ "php": 0.1168323,
+ "}": 0.07641643,
+ "supported": 0.12581685,
+ "esq": 2.0003188,
+ "con": 0.3965541,
+ "dj": 0.30995622,
+ "##cat": 1.3956447,
+ "lt": 1.3113463,
+ "replace": 0.8857134,
+ "anne": 0.8135583,
+ "language": 0.108662374,
+ "ata": 0.18094428,
+ "##ab": 1.0379733,
+ "protocol": 0.07109981,
+ "split": 1.2311274,
+ "apache": 0.51981384,
+ "function": 1.2353188,
+ "html": 0.2789927,
+ "tag": 1.0564526,
+ "buffer": 0.24078225,
+ "ed": 0.50174403,
+ "par": 0.42097446,
+ "including": 0.3729172,
+ "format": 0.49489364,
+ "##ido": 1.3358675,
+ "archive": 0.2684293,
+ "sort": 0.120220095,
+ "list": 0.8438918,
+ "plus": 0.26613522,
+ "jamie": 0.3531865,
+ "core": 0.22731584,
+ "sequence": 0.16831179,
+ "lists": 0.5991808,
+ "##ida": 0.44810933,
+ "decimal": 0.0073899482,
+ "support": 0.48958868,
+ "replacement": 0.17418954,
+ "useful": 0.08260371,
+ "code": 0.13210097,
+ "string": 1.8941888,
+ "cad": 0.15560196,
+ "title": 0.8314733,
+ "interface": 0.31801042,
+ "sid": 0.6730175,
+ "##st": 0.44877583,
+ "para": 0.24208038,
+ "array": 0.12704921,
+ "##ci": 1.2319835,
+ "end": 0.16237801,
+ "david": 0.14260149,
+ "##lib": 0.045295615,
+ "lang": 0.2896192,
+ "class": 0.6065543,
+ "included": 0.020615006,
+ "##com": 0.019100312,
+ "cipher": 0.31469926,
+ "keyboard": 0.5531524,
+ "length": 1.16444,
+ "serial": 0.6708911,
+ "syntax": 0.69466037,
+ "pub": 0.39228016
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-string-functions]]\n==== {esql} string functions\n\n++++\nString functions\n++++\n\n{esql} supports these string functions:\n\n// tag::string_list[]\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n// end::string_list[]\n\ninclude::concat.asciidoc[]\ninclude::left.asciidoc[]\ninclude::length.asciidoc[]\ninclude::ltrim.asciidoc[]\ninclude::replace.asciidoc[]\ninclude::right.asciidoc[]\ninclude::rtrim.asciidoc[]\ninclude::split.asciidoc[]\ninclude::substring.asciidoc[]\ninclude::trim.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "42ba95a0-5633-4134-8179-3f150267e6db",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/substring.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.17342319,
+ "##d": 0.8789373,
+ "bad": 0.35939437,
+ "fin": 0.3261913,
+ "styled": 1.3164726,
+ "alphabet": 0.43729037,
+ "##l": 1.3675281,
+ "character": 0.50110894,
+ "##r": 0.2126278,
+ "java": 0.9498133,
+ "##s": 0.20361298,
+ "styling": 0.77752805,
+ "##v": 1.2199103,
+ "notation": 0.20494595,
+ "jan": 0.18719332,
+ "xml": 0.023660228,
+ "merge": 1.585611,
+ "record": 1.2277803E-4,
+ "rank": 0.15418968,
+ "%": 0.35620722,
+ "'": 0.07057429,
+ "(": 0.015453597,
+ "optional": 1.358905,
+ "inspired": 0.33280867,
+ "-": 0.35280475,
+ "remaining": 0.019010605,
+ "tags": 0.476884,
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+ "styles": 0.24027099,
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+ "starting": 0.3293997,
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+ "document": 0.5104866,
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+ "virus": 0.40865022,
+ "long": 0.26222804,
+ "example": 1.199518,
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+ "characters": 1.1902659,
+ "coding": 0.10515712,
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+ "ian": 0.086891085,
+ "vector": 0.038074236,
+ "[": 1.0532784,
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+ "sep": 0.6676245,
+ "_": 0.4425933,
+ "cc": 0.27321935,
+ "ss": 0.11850566,
+ "st": 0.09724916,
+ "contain": 0.19388308,
+ "middle": 0.08040724,
+ "c": 0.00705892,
+ "d": 0.4317583,
+ "column": 0.29695836,
+ "abbreviation": 1.2755313E-5,
+ "cs": 1.5264055,
+ "v": 0.23049238,
+ "digits": 0.023312414,
+ "returned": 0.632457,
+ "|": 0.2812372,
+ "da": 0.23011194,
+ "}": 0.1308056,
+ "operation": 0.037351817,
+ "font": 0.17030321,
+ "dd": 0.36915776,
+ "ass": 0.24964492,
+ "standard": 0.18535851,
+ "calculation": 0.027764281,
+ "dh": 0.5703244,
+ "documents": 0.118454196,
+ "anne": 0.47119325,
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+ "apache": 0.2800261,
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+ "list": 0.0035498242,
+ "sha": 0.33135512,
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+ "sources": 0.2778959,
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+ "mono": 1.0233586,
+ "##st": 1.4671987,
+ "random": 0.029411545,
+ "negative": 1.4722267,
+ "end": 0.49708664,
+ "every": 0.68853056,
+ "class": 0.5086574,
+ "cipher": 0.36523572,
+ "citation": 0.1854715,
+ "spelling": 0.13923602,
+ "length": 1.2468615,
+ "start": 0.9988599,
+ "specification": 0.7259906,
+ "interpret": 0.7649695,
+ "syntax": 0.6487843,
+ "pub": 0.15207557,
+ "mark": 0.09579992,
+ "fancy": 0.13390447,
+ "gage": 0.093848385,
+ "during": 0.08566861,
+ "type": 0.06962238,
+ "three": 0.8401304,
+ "peg": 0.6227231,
+ "##ain": 0.19321205,
+ "##space": 1.2432882,
+ "jerry": 0.5189766,
+ "text": 0.29380077,
+ "algorithm": 0.70691,
+ "method": 0.116822645,
+ "gene": 0.5133731,
+ "specify": 0.6325368,
+ "index": 0.7912489,
+ "script": 0.36423808,
+ "determined": 0.1690394,
+ "doc": 1.16504,
+ "style": 1.0359442,
+ "math": 0.5534166,
+ "jude": 0.1931638,
+ "hash": 0.1172112,
+ "longest": 0.27234563,
+ "pattern": 0.49500242,
+ "##ring": 1.5134537,
+ "sequences": 0.12013383,
+ "specified": 0.30293688,
+ "##arat": 0.7109383,
+ "file": 0.6325805,
+ "composed": 0.44723895,
+ "strings": 0.22662127,
+ "surname": 0.5561805,
+ "eddy": 0.2694174,
+ "include": 1.1378058,
+ "editor": 0.34775862,
+ "heading": 0.20244639,
+ "display": 0.03922056,
+ "excel": 0.48368266,
+ "names": 0.6069822,
+ "organized": 0.37540624,
+ "cod": 0.446927,
+ "return": 0.94432306,
+ "first": 0.45894742,
+ "discreet": 0.18572865,
+ "esq": 1.9798023,
+ "instance": 0.42609054,
+ "data": 0.4682033,
+ "##end": 0.3510937,
+ "dice": 0.18133873,
+ "integer": 0.020685302,
+ "spec": 1.7896369,
+ "space": 0.53744036,
+ "decorated": 0.051630415,
+ "continuous": 0.9301554,
+ "function": 0.44183645,
+ "html": 0.48541978,
+ "lap": 0.29193205,
+ "tag": 0.95947164,
+ "including": 0.59429467,
+ "read": 0.12779172,
+ "initials": 0.5944768,
+ "format": 1.1727996,
+ "archive": 0.51250917,
+ "includes": 0.10621046,
+ "sort": 0.30216357,
+ "sequence": 0.5026668,
+ "core": 0.4081549,
+ "jamie": 0.25590262,
+ "header": 0.9867581,
+ "retrieve": 0.09143414,
+ "files": 0.051949505,
+ "position": 0.9671842,
+ "##ada": 0.114398554,
+ "code": 0.35537836,
+ "differentiation": 0.06988143,
+ "##rem": 1.0896405,
+ "student": 0.054443136,
+ "gil": 0.4052769,
+ "sql": 0.4143834,
+ "##red": 0.3227884,
+ "database": 0.28161222,
+ "array": 0.1355461,
+ "lang": 0.23907527,
+ "said": 0.01353257,
+ "included": 0.41256648,
+ "direction": 0.047673013,
+ "command": 0.03449618,
+ "lengths": 0.32569575,
+ "serial": 0.7338688,
+ "compilation": 0.11170581,
+ "remainder": 0.4674984
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-substring]]\n=== `SUBSTRING`\nReturns a substring of a string, specified by a start position and an optional\nlength. This example returns the first three characters of every last name:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=substring]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=substring-result]\n|===\n\nA negative start position is interpreted as being relative to the end of the\nstring. This example returns the last three characters of of every last name:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=substringEnd]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=substringEnd-result]\n|===\n\nIf length is omitted, substring returns the remainder of the string. This\nexample returns all characters except for the first:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=substringRemainder]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=substringRemainder-result]\n|===\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "224f6650-c72a-4da3-aa45-1f2c2ad734b5",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/sum.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.39391997,
+ "##d": 0.5073199,
+ "##g": 1.3007802,
+ "pun": 0.13541982,
+ "gage": 0.07155093,
+ "arithmetic": 0.39132997,
+ "fin": 0.012782308,
+ "styled": 1.0438167,
+ "##frame": 0.17265573,
+ "during": 0.060781013,
+ "alphabet": 0.058700725,
+ "##l": 1.4027092,
+ "score": 0.16818152,
+ "java": 0.5430119,
+ "peg": 0.43185747,
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+ "styling": 0.5627258,
+ "len": 0.18675202,
+ "dev": 0.07931534,
+ "stats": 1.1862919,
+ "##v": 1.0582908,
+ "notation": 0.55956036,
+ "meaning": 0.41778642,
+ "xml": 0.14283714,
+ "merge": 1.6321921,
+ "rank": 0.2747258,
+ "##space": 1.195332,
+ "nan": 0.27750018,
+ "text": 0.24158204,
+ "algorithm": 0.24305807,
+ "merging": 0.14913929,
+ "%": 0.91579384,
+ "gene": 0.12714201,
+ "ag": 1.6744655,
+ "'": 0.15538564,
+ "league": 0.022468872,
+ "pool": 0.16463277,
+ "(": 0.08458748,
+ "index": 0.60548383,
+ "analysis": 0.5023777,
+ "-": 0.33476606,
+ "script": 0.21244861,
+ "tags": 0.5887968,
+ "/": 0.11458652,
+ "as": 0.22760451,
+ "cue": 0.021165457,
+ "field": 1.2439138,
+ "integration": 0.27699408,
+ "style": 0.7832948,
+ "math": 0.73389804,
+ "=": 0.20555654,
+ "statistical": 0.72721,
+ "aim": 0.023486162,
+ "pattern": 0.025556687,
+ "mid": 0.16003305,
+ "sum": 1.9946113,
+ "global": 0.1223093,
+ "matrix": 0.22702605,
+ "result": 1.008691,
+ "##arat": 0.8235364,
+ "sd": 0.10181818,
+ "file": 0.45600867,
+ "##or": 0.109271936,
+ "composed": 0.26985708,
+ "si": 0.27982968,
+ "popularity": 0.013110153,
+ "term": 0.57591635,
+ "[": 1.279517,
+ "fred": 0.4303873,
+ "]": 0.8667414,
+ "graphic": 0.28099784,
+ "table": 0.39538723,
+ "_": 0.5666041,
+ "sep": 0.519186,
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+ "include": 1.2244309,
+ "editor": 0.16804126,
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+ "display": 0.13978618,
+ "column": 0.483479,
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+ "statistics": 1.0220667,
+ "font": 0.19371063,
+ "ratio": 0.011917228,
+ "ass": 0.35648713,
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+ "symbol": 0.35374588,
+ "esq": 1.8543434,
+ "constant": 0.11543148,
+ "data": 0.6454996,
+ "dh": 0.3709667,
+ "dice": 0.37880936,
+ "anne": 0.25204402,
+ "accounting": 0.3948261,
+ "source": 0.37444112,
+ "integer": 0.064982265,
+ "specifications": 0.43597355,
+ "spec": 1.5475453,
+ "space": 0.4841083,
+ "ds": 1.1538374,
+ "tab": 0.015784087,
+ "##ag": 0.037809916,
+ "continuous": 0.98697966,
+ "function": 0.16132928,
+ "html": 0.571019,
+ "lap": 0.24940938,
+ "tag": 0.9933342,
+ "results": 0.49345794,
+ "ed": 0.643896,
+ "combine": 0.5030695,
+ "combination": 0.19947878,
+ "par": 0.12290079,
+ "including": 0.811243,
+ "chess": 0.18729465,
+ "format": 1.0694121,
+ "batch": 0.18782097,
+ "includes": 0.4268444,
+ "sort": 0.20506044,
+ "sha": 0.28620195,
+ "plus": 0.1410236,
+ "discrete": 2.0080576,
+ "core": 0.5351111,
+ "sequence": 0.37325352,
+ "synth": 0.057265982,
+ "jamie": 0.043295626,
+ "unit": 0.31474358,
+ "measure": 0.25712004,
+ "header": 1.1578958,
+ "fields": 1.0979254,
+ "sums": 0.82379043,
+ "formats": 0.2430361,
+ "code": 0.22898346,
+ "nu": 0.66805935,
+ "cad": 0.17969695,
+ "link": 0.053846546,
+ "ensemble": 0.20710073,
+ "gil": 0.26483092,
+ "percent": 0.4193743,
+ "sid": 0.65661246,
+ "sql": 0.3939596,
+ "mono": 1.060613,
+ "numerical": 0.23603201,
+ "database": 0.38480487,
+ "total": 0.12238166,
+ "synonym": 0.10373576,
+ "array": 0.04525859,
+ "of": 0.0145857725,
+ "define": 0.05948439,
+ "sin": 0.36535916,
+ "definition": 0.43978247,
+ "sheet": 0.06920321,
+ "included": 0.58635753,
+ "class": 0.2842591,
+ "value": 0.25317085,
+ "summary": 0.6382685,
+ "equation": 0.1878176,
+ "specification": 0.49774125,
+ "harold": 0.03319383,
+ "serial": 0.36796382,
+ "mean": 0.19323239,
+ "syntax": 0.6270766,
+ "formula": 0.10918045,
+ "pub": 0.3036776,
+ "tally": 0.23661564,
+ "demographics": 0.3016138
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-agg-sum]]\n=== `SUM`\nThe sum of a numeric field.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/stats.csv-spec[tag=sum]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/stats.csv-spec[tag=sum-result]\n|===\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "36f02260-3e06-4537-b6cf-8178a2e2ace6",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/tan.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "plane": 0.18997468,
+ "cluster": 0.06362431,
+ "##c": 0.27934945,
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+ "header": 0.81099546,
+ "carly": 0.24924903,
+ "legacy": 0.24779402,
+ "code": 0.21556659,
+ "hammer": 0.26832768,
+ "ns": 0.14948377,
+ "mathematics": 0.12647298,
+ "cad": 0.64371186,
+ "ideology": 0.14182833,
+ "link": 0.053517327,
+ "scale": 0.15637496,
+ "around": 0.4738626,
+ "percent": 0.37331566,
+ "##ference": 1.1119958,
+ "times": 0.11250155,
+ "database": 0.01671172,
+ "para": 0.20362474,
+ "today": 0.76643693,
+ "leadership": 0.10301765,
+ "predict": 0.32936865,
+ "##lib": 0.29233447,
+ "ratios": 0.62606823,
+ "brief": 0.6171822,
+ "manifest": 0.8029812,
+ "wheel": 0.33914837,
+ "equation": 0.61623496,
+ "diamond": 0.12296763,
+ "inline": 1.2804058
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-tau]]\n=== `TAU`\n[.text-center]\nimage::esql/functions/signature/tau.svg[Embedded,opts=inline]\n\nThe https://tauday.com/tau-manifesto[ratio] of a circle's circumference to its radius.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/math.csv-spec[tag=tau]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/math.csv-spec[tag=tau-result]\n|===\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "793ff930-a1d6-49be-af12-5094d1386093",
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+ "_ignored": [
+ "text.keyword"
+ ],
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+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/to_boolean.asciidoc"
+ },
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+ "=": 0.34929356,
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+ "##ler": 0.13743868,
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+ "spec": 1.6348538,
+ "translate": 0.79358786,
+ "space": 0.4374344,
+ "operator": 0.2138358,
+ "empty": 1.3831502,
+ "ds": 0.99271715,
+ "mode": 0.15548973,
+ "apache": 0.03879361,
+ "function": 1.2589724,
+ "continuous": 0.7846342,
+ "lap": 0.42091015,
+ "html": 0.2306181,
+ "ren": 0.19963306,
+ "tag": 0.857185,
+ "results": 0.052906502,
+ "ed": 0.706594,
+ "combination": 0.11084147,
+ "combine": 0.001489126,
+ "which": 0.0029478688,
+ "format": 1.046062,
+ "eric": 0.11856538,
+ "archive": 0.023427589,
+ "sort": 0.2679591,
+ "sha": 0.2621489,
+ "discrete": 1.9880576,
+ "core": 0.37245703,
+ "jamie": 0.0700037,
+ "unit": 0.19940183,
+ "converted": 1.1235334,
+ "true": 1.1036035,
+ "header": 0.9282096,
+ "fields": 0.9286922,
+ "##ile": 0.41409916,
+ "dash": 0.10880427,
+ "decimal": 0.080144085,
+ "boo": 1.6388869,
+ "blank": 0.75611645,
+ "formats": 0.24976157,
+ "code": 0.23849852,
+ "string": 1.1575929,
+ "import": 0.13993637,
+ "blend": 0.1503809,
+ "nu": 0.4235938,
+ "values": 0.30806822,
+ "gil": 0.3287577,
+ "interface": 0.14145347,
+ "error": 0.12675689,
+ "##ense": 0.42667666,
+ "percent": 0.21140924,
+ "sql": 0.609953,
+ "sid": 0.48683444,
+ "mono": 1.0479555,
+ "numerical": 0.36705464,
+ "database": 0.1584626,
+ "transform": 0.15519264,
+ "array": 0.13560158,
+ "alias": 1.2803806,
+ "predict": 0.032576345,
+ "##lib": 0.1470226,
+ "value": 0.95597005,
+ "class": 0.44534963,
+ "conversion": 1.047466,
+ "cipher": 0.19661771,
+ "digital": 0.011289879,
+ "types": 0.5977976,
+ "equation": 0.07846188,
+ "false": 1.3043644,
+ "multiple": 0.22663258,
+ "specification": 0.46379057,
+ "ins": 0.44408742,
+ "truth": 0.14393155,
+ "serial": 0.48886982,
+ "valued": 0.99601626,
+ "translation": 0.12235022,
+ "syntax": 0.73642236
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-to_boolean]]\n=== `TO_BOOLEAN`\nConverts an input value to a boolean value.\n\nThe input can be a single- or multi-valued field or an expression. The input\ntype must be of a string or numeric type.\n\nA string value of *\"true\"* will be case-insensitive converted to the Boolean\n*true*. For anything else, including the empty string, the function will\nreturn *false*. For example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/boolean.csv-spec[tag=to_boolean]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/boolean.csv-spec[tag=to_boolean-result]\n|===\n\nThe numerical value of *0* will be converted to *false*, anything else will be\nconverted to *true*.\n\nAlias: TO_BOOL\n"
+ }
+ },
+ {
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+ "_id": "6b2c210a-bd19-49bd-876e-490d86b10c5c",
+ "_score": 1.0,
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+ "text.keyword"
+ ],
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+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/to_datetime.asciidoc"
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+ "=": 0.11845663,
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+ "script": 0.22558674,
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+ "epoch": 1.109592,
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+ "include": 0.45299408,
+ "editor": 0.23012197,
+ "heading": 0.17832418,
+ "display": 0.4083845,
+ "converts": 0.7281791,
+ "transformation": 0.08934662,
+ "excel": 0.32220745,
+ "##meric": 0.98309934,
+ "cod": 0.29773307,
+ "first": 0.08228547,
+ "date": 1.660016,
+ "checkpoint": 0.2930737,
+ "esq": 1.917439,
+ "data": 0.4971843,
+ "dice": 0.12376573,
+ "integer": 0.21460634,
+ "spec": 1.3880041,
+ "translate": 0.6100305,
+ "space": 0.10571026,
+ "protocol": 0.3328299,
+ "continuous": 0.72027576,
+ "html": 0.29277986,
+ "tag": 0.8054124,
+ "buffer": 0.26624227,
+ "criminal": 0.047757346,
+ "day": 0.28588617,
+ "mm": 1.1165472,
+ "format": 1.3565742,
+ "archive": 0.23092815,
+ "failed": 0.7715394,
+ "clock": 0.28317192,
+ "interrupted": 0.13073845,
+ "illegal": 1.1289203,
+ "julian": 0.013262742,
+ "sequence": 0.27028406,
+ "jamie": 0.19345032,
+ "core": 0.005356958,
+ "unit": 0.26267055,
+ "null": 1.2450032,
+ "violation": 0.06663676,
+ "header": 1.1442245,
+ "files": 0.020492965,
+ "unix": 1.3737148,
+ "problems": 0.40378252,
+ "##ada": 0.1371445,
+ "code": 0.23137015,
+ "penalty": 0.28313679,
+ "line": 0.085836224,
+ "nu": 0.32106668,
+ "values": 0.10624745,
+ "cad": 0.041391365,
+ "link": 0.09515207,
+ "gil": 0.32483086,
+ "error": 0.8669198,
+ "sql": 0.41393024,
+ "nonsense": 0.09240595,
+ "times": 0.28343835,
+ "database": 0.18698184,
+ "##zone": 0.06469949,
+ "parameter": 0.76488376,
+ "dated": 0.26818404,
+ "lang": 0.79929376,
+ "value": 0.900836,
+ "##ise": 0.6919822,
+ "warnings": 0.23872764,
+ "command": 0.20920455,
+ "int": 0.18477847,
+ "marking": 0.016080098,
+ "serial": 0.7875682,
+ "valued": 1.0309929,
+ "response": 0.8829598,
+ "respond": 0.44833973
+ },
+ "is_truncated": true,
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-to_datetime]]\n=== `TO_DATETIME`\nConverts an input value to a date value.\n\nThe input can be a single- or multi-valued field or an expression. The input\ntype must be of a string or numeric type.\n\nA string will only be successfully converted if it's respecting the format\n`yyyy-MM-dd'T'HH:mm:ss.SSS'Z'` (to convert dates in other formats, use <>). For example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/date.csv-spec[tag=to_datetime-str]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/date.csv-spec[tag=to_datetime-str-result]\n|===\n\nNote that in this example, the last value in the source multi-valued\nfield has not been converted. The reason being that if the date format is not\nrespected, the conversion will result in a *null* value. When this happens a\n_Warning_ header is added to the response. The header will provide information\non the source of the failure:\n\n`\"Line 1:112: evaluation of [TO_DATETIME(string)] failed, treating result as null. Only first 20 failures recorded.\"`\n\nA following header will contain the failure reason and the offending value:\n\n`\"java.lang.IllegalArgumentException: failed to parse date field [1964-06-02 00:00:00] with format [yyyy-MM-dd'T'HH:mm:ss.SSS'Z']\"`\n\n\nIf the input parameter is of a numeric type, its value will be interpreted as\nmilliseconds since the https://en.wikipedia.org/wiki/Unix_time[Unix epoch].\nFor example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/date.csv-spec[tag=to_datetime-int]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/date.csv-spec[tag=to_datetime-int-result]\n|===\n\nAlias: TO_DT\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "81fc24f8-f3ae-4d9e-9550-1adabd0f7fb4",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/to_degrees.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "fancy": 0.18999025,
+ "##d": 0.71443796,
+ "software": 0.08225956,
+ "##dian": 1.2237493,
+ "gage": 0.3537966,
+ "pun": 0.17273758,
+ "arithmetic": 0.3341037,
+ "fin": 0.30449274,
+ "convert": 1.3636489,
+ "styled": 1.0195788,
+ "alphabet": 0.12933917,
+ "##l": 1.52288,
+ "type": 0.821909,
+ "degrees": 1.6507252,
+ "multi": 0.6989757,
+ "number": 0.82302165,
+ "java": 0.74530715,
+ "peg": 0.31247273,
+ "##s": 0.28003663,
+ "styling": 0.37939587,
+ "##v": 1.1171814,
+ "notation": 0.44445774,
+ "merge": 1.3046503,
+ "##space": 1.2195513,
+ "https": 0.7216377,
+ "jerry": 0.27619645,
+ "text": 0.09231541,
+ "algorithm": 0.5238514,
+ "gene": 0.11382627,
+ "%": 0.08665325,
+ "double": 1.3333455,
+ "tex": 0.14409196,
+ "'": 0.21044222,
+ "index": 0.45890734,
+ "-": 0.30952978,
+ "script": 0.390773,
+ "ra": 1.2211164,
+ "tags": 0.38540107,
+ "/": 0.13299733,
+ "input": 0.9818365,
+ "as": 0.11741411,
+ "field": 1.1298785,
+ "triple": 0.18210262,
+ "doubles": 0.61798316,
+ "science": 0.10193499,
+ "binary": 0.03363021,
+ "style": 0.7053165,
+ "math": 0.91901416,
+ "=": 0.1733018,
+ "bristol": 0.054487955,
+ "translator": 0.053134646,
+ "algebra": 0.04066413,
+ "two": 0.36705175,
+ "example": 0.6725702,
+ "##arat": 0.9407738,
+ "result": 0.8953433,
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+ "chart": 0.24811022,
+ "da": 0.19638422,
+ "mathematical": 0.12146031,
+ "calculation": 0.3829596,
+ "dd": 0.19934411,
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+ "numbers": 0.55013615,
+ "dice": 0.23359121,
+ "anne": 0.26343232,
+ "source": 0.33963275,
+ "integer": 0.23412968,
+ "float": 1.2067926,
+ "specifications": 0.49870518,
+ "spec": 1.6646717,
+ "translate": 0.92626405,
+ "space": 0.54040045,
+ "ds": 1.1234949,
+ "continuous": 0.8728662,
+ "html": 0.2861362,
+ "ren": 0.28544182,
+ "lap": 0.12814173,
+ "tag": 0.8048236,
+ "expressed": 0.07598684,
+ "results": 0.4601326,
+ "weighted": 0.11379594,
+ "ed": 0.70491576,
+ "combine": 0.009491555,
+ "##se": 0.075146906,
+ "floats": 0.8520956,
+ "including": 0.39232776,
+ "degree": 1.7512289,
+ "format": 1.1008626,
+ "eric": 0.036223464,
+ "en": 0.23435274,
+ "sort": 0.058969133,
+ "engineering": 0.0015866084,
+ "sha": 0.24222372,
+ "##ki": 0.23249085,
+ "discrete": 1.9535966,
+ "core": 0.3137419,
+ "sequence": 0.24224627,
+ "jamie": 0.15133604,
+ "unit": 0.2995978,
+ "measure": 0.18771693,
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+ "geometric": 0.40596431,
+ "translates": 0.028431669,
+ "header": 0.7611266,
+ "http": 0.47878143,
+ "fields": 0.9949259,
+ "decimal": 0.43231156,
+ "translating": 0.011919937,
+ "formats": 0.28608572,
+ "code": 0.16633862,
+ "angles": 0.348314,
+ "student": 0.091298684,
+ "nu": 0.53352803,
+ "cad": 0.5177665,
+ "values": 0.2582666,
+ "gil": 0.32436764,
+ "interface": 0.16966607,
+ "sid": 0.5030271,
+ "mono": 1.2373244,
+ "numerical": 0.08730608,
+ "wi": 0.58918405,
+ "transform": 0.008551172,
+ "database": 0.007063181,
+ "floating": 1.0112268,
+ "##lib": 0.009109601,
+ "value": 0.60388315,
+ "class": 0.35816422,
+ "conversion": 0.8402998,
+ "direction": 0.44568923,
+ "digital": 0.16573915,
+ "types": 0.47859627,
+ "equation": 0.479103,
+ "multiple": 0.19761983,
+ "specification": 0.5493197,
+ "command": 0.21202622,
+ "serial": 0.032722417,
+ "valued": 1.0894511,
+ "translation": 0.55000806,
+ "syntax": 0.40852696
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-to_degrees]]\n=== `TO_DEGREES`\nConverts a number in https://en.wikipedia.org/wiki/Radian[radians]\nto https://en.wikipedia.org/wiki/Degree_(angle)[degrees].\n\nThe input can be a single- or multi-valued field or an expression. The input\ntype must be of a numeric type and result is always `double`.\n\nExample:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/floats.csv-spec[tag=to_degrees]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/floats.csv-spec[tag=to_degrees-result]\n|===\n"
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+ "date": 1.0810071,
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+ "float": 1.1390394,
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+ "translate": 0.7205594,
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+ "html": 0.29598927,
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+ "tag": 0.7767069,
+ "buffer": 0.108451374,
+ "expressed": 0.09201819,
+ "floats": 0.7479182,
+ "including": 0.20818979,
+ "read": 0.100389466,
+ "format": 0.96780145,
+ "archive": 0.14843427,
+ "failed": 0.62996197,
+ "interrupted": 0.07150409,
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+ "sequence": 0.34989452,
+ "core": 0.26680326,
+ "unit": 0.29408315,
+ "twice": 0.24564683,
+ "null": 1.0589571,
+ "true": 0.5759694,
+ "header": 1.1169823,
+ "unix": 1.3951052,
+ "problems": 0.05880448,
+ "boo": 1.0762244,
+ "code": 0.26692823,
+ "penalty": 0.24124567,
+ "values": 0.26338515,
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+ "gil": 0.18434809,
+ "error": 0.8725504,
+ "##ate": 0.16819754,
+ "percent": 0.14273761,
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+ "database": 0.17931439,
+ "times": 0.07326595,
+ "array": 0.15567563,
+ "floating": 0.9324738,
+ "parameter": 0.7426714,
+ "alias": 1.3124362,
+ "dated": 0.027272088,
+ "lang": 0.7471905,
+ "value": 0.9735191,
+ "included": 0.120719954,
+ "##ise": 1.0075105,
+ "equation": 0.010957192,
+ "command": 0.13483444,
+ "serial": 0.6699924,
+ "valued": 0.96082425,
+ "response": 0.89253134,
+ "respond": 0.45532724
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-to_double]]\n=== `TO_DOUBLE`\nConverts an input value to a double value.\n\nThe input can be a single- or multi-valued field or an expression. The input\ntype must be of a boolean, date, string or numeric type.\n\nExample:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/floats.csv-spec[tag=to_double-str]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/floats.csv-spec[tag=to_double-str-result]\n|===\n\nNote that in this example, the last conversion of the string isn't\npossible. When this happens, the result is a *null* value. In this case a\n_Warning_ header is added to the response. The header will provide information\non the source of the failure:\n\n`\"Line 1:115: evaluation of [TO_DOUBLE(str2)] failed, treating result as null. Only first 20 failures recorded.\"`\n\nA following header will contain the failure reason and the offending value:\n\n`\"java.lang.NumberFormatException: For input string: \\\"foo\\\"\"`\n\n\nIf the input parameter is of a date type, its value will be interpreted as\nmilliseconds since the https://en.wikipedia.org/wiki/Unix_time[Unix epoch],\nconverted to double.\n\nBoolean *true* will be converted to double *1.0*, *false* to *0.0*.\n\nAlias: TO_DBL\n"
+ }
+ },
+ {
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+ "archive": 0.27256677,
+ "failed": 0.7136947,
+ "sort": 0.21701884,
+ "interrupted": 0.032364585,
+ "amazon": 0.7817284,
+ "jamie": 0.49208206,
+ "core": 0.23573014,
+ "sequence": 0.18639284,
+ "unit": 0.23476438,
+ "null": 0.959154,
+ "true": 0.27455452,
+ "header": 1.2400584,
+ "unix": 1.3367857,
+ "problems": 0.07139965,
+ "boo": 1.1163832,
+ "code": 0.25707886,
+ "penalty": 0.2064232,
+ "line": 0.11194448,
+ "values": 0.29511178,
+ "nu": 0.16560955,
+ "link": 0.2503444,
+ "gil": 0.34293476,
+ "error": 0.88142705,
+ "##li": 1.0737467,
+ "sql": 0.39869243,
+ "database": 0.23254044,
+ "transform": 0.11719826,
+ "times": 0.09005947,
+ "##ack": 1.3693001,
+ "parameter": 0.8702915,
+ "anya": 0.049022153,
+ "alias": 1.2697275,
+ "dated": 0.002729502,
+ "##lib": 8.821448E-6,
+ "value": 0.9570211,
+ "included": 0.25887778,
+ "##ise": 0.95390683,
+ "int": 1.5403401,
+ "command": 0.2468106,
+ "serial": 0.5787331,
+ "valued": 1.1630658,
+ "response": 0.9621267,
+ "respond": 0.5222584
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-to_integer]]\n=== `TO_INTEGER`\nConverts an input value to an integer value.\n\nThe input can be a single- or multi-valued field or an expression. The input\ntype must be of a boolean, date, string or numeric type.\n\nExample:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/ints.csv-spec[tag=to_int-long]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/ints.csv-spec[tag=to_int-long-result]\n|===\n\nNote that in this example, the last value of the multi-valued field cannot\nbe converted as an integer. When this happens, the result is a *null* value.\nIn this case a _Warning_ header is added to the response. The header will\nprovide information on the source of the failure:\n\n`\"Line 1:61: evaluation of [TO_INTEGER(long)] failed, treating result as null. Only first 20 failures recorded.\"`\n\nA following header will contain the failure reason and the offending value:\n\n`\"org.elasticsearch.xpack.ql.QlIllegalArgumentException: [501379200000] out of [integer] range\"`\n\n\nIf the input parameter is of a date type, its value will be interpreted as\nmilliseconds since the https://en.wikipedia.org/wiki/Unix_time[Unix epoch],\nconverted to integer.\n\nBoolean *true* will be converted to integer *1*, *false* to *0*.\n\nAlias: TO_INT\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "3940eca8-c716-4e91-98d2-626d6ccfcdd9",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/to_ip.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "exception": 0.035191663,
+ "cluster": 0.06969455,
+ "##d": 0.42194083,
+ "styled": 1.3113711,
+ "##l": 1.4729016,
+ "evaluation": 0.82859856,
+ "##r": 0.93549466,
+ "java": 1.260368,
+ "##s": 0.1961876,
+ "styling": 0.65979207,
+ "##v": 1.2607203,
+ "xml": 0.28198877,
+ "notation": 0.18614972,
+ "merge": 1.5225787,
+ "record": 9.628666E-4,
+ "api": 0.0033062815,
+ "%": 0.62776524,
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+ "-": 0.15463455,
+ "tags": 0.5141987,
+ "/": 0.1024416,
+ "input": 1.2286375,
+ "domain": 0.30245027,
+ "=": 0.47848138,
+ "20": 0.66892284,
+ "virus": 0.22387113,
+ "literal": 1.0563363,
+ "example": 0.89298195,
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+ "into": 0.27400187,
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+ "vector": 0.10498992,
+ "[": 0.8779403,
+ "fred": 0.4410922,
+ "]": 0.5412853,
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+ "email": 0.007849679,
+ "_": 1.0167879,
+ "sep": 0.48625726,
+ "ss": 0.057725742,
+ "st": 0.5389034,
+ "expression": 1.0778574,
+ "failures": 0.76640517,
+ "address": 0.20722787,
+ "contain": 0.06596762,
+ "reaction": 0.03459764,
+ "d": 0.2982439,
+ "g": 0.112207815,
+ "j": 0.36716473,
+ "cs": 1.2971648,
+ "single": 0.8203762,
+ "t": 0.4231835,
+ "answer": 0.078132175,
+ "bug": 0.27041522,
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+ "##uation": 0.069472596,
+ "x": 0.2264575,
+ "to": 1.4217633,
+ "|": 0.38725877,
+ "da": 0.4745698,
+ "operation": 0.22249207,
+ "}": 0.12646984,
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+ "dh": 0.5631064,
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+ "inputs": 0.51985127,
+ "anne": 0.52841663,
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+ "specifications": 0.5548888,
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+ "ds": 1.2102339,
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+ "segment": 0.0068513947,
+ "warning": 1.4265795,
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+ "failure": 1.0422837,
+ "fields": 0.795576,
+ "68": 0.69151837,
+ "formats": 0.32959965,
+ "blank": 0.061598465,
+ "string": 1.3569583,
+ "foo": 1.2911426,
+ "recording": 0.09933203,
+ "video": 0.02847118,
+ "interface": 0.54940766,
+ "sid": 0.7554657,
+ "mono": 1.0575773,
+ "not": 0.08772188,
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+ "##ception": 0.75656533,
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+ "recorded": 0.37436807,
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+ "pun": 0.011396429,
+ "convert": 1.4590144,
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+ "algorithm": 0.54801583,
+ "##gum": 0.97112626,
+ "method": 0.019531546,
+ "gene": 0.19238785,
+ "ip": 2.1329582,
+ "index": 0.46684968,
+ "script": 0.37128657,
+ "fail": 0.038001705,
+ "field": 0.84328777,
+ "integration": 0.059905518,
+ "style": 0.81063676,
+ "math": 0.49554595,
+ "jude": 0.10622451,
+ "evaluate": 0.05495757,
+ "server": 0.03412205,
+ "conversions": 0.17237173,
+ "log": 0.044141635,
+ "unknown": 0.026252141,
+ "##arat": 0.80835664,
+ "valid": 0.015063932,
+ "file": 0.42676607,
+ "composed": 0.30357164,
+ "julia": 0.044513065,
+ "eddy": 0.09385707,
+ "include": 0.8711254,
+ "editor": 0.10535552,
+ "mat": 0.037302893,
+ "question": 0.09241443,
+ "heading": 0.45236236,
+ "display": 0.023433063,
+ "converts": 0.97094446,
+ "transformation": 0.28221804,
+ "organized": 0.18976536,
+ "cod": 0.18374136,
+ "checkpoint": 0.20410804,
+ "esq": 1.9316872,
+ "data": 0.38664228,
+ "dice": 0.22773115,
+ "integer": 0.044495393,
+ "spec": 1.6177357,
+ "translate": 0.82606393,
+ "space": 0.40512618,
+ "protocol": 0.5503679,
+ "continuous": 0.640342,
+ "html": 0.36954436,
+ "lap": 0.2324524,
+ "tag": 0.99497885,
+ "buffer": 0.1007907,
+ "expressed": 0.0074834256,
+ "including": 0.4087712,
+ "mp": 0.09812845,
+ "format": 1.1569431,
+ "archive": 0.18149404,
+ "failed": 0.7314915,
+ "interrupted": 0.058248386,
+ "illegal": 1.0886366,
+ "core": 0.2860301,
+ "jamie": 0.100766994,
+ "sequence": 0.0067950366,
+ "unit": 0.4973686,
+ "null": 1.4623535,
+ "header": 1.4886895,
+ "survey": 0.19229305,
+ "dash": 0.06378224,
+ "problems": 0.20284608,
+ "dave": 0.019713432,
+ "code": 0.25452483,
+ "boo": 0.09401149,
+ "line": 0.41748893,
+ "bot": 0.025579695,
+ "values": 0.13462326,
+ "link": 0.049864244,
+ "error": 0.73844916,
+ "percent": 0.20761567,
+ "sql": 0.21023946,
+ "network": 0.027725555,
+ "database": 0.18720716,
+ "lang": 0.7263367,
+ "value": 0.9129337,
+ "included": 0.25896522,
+ "warnings": 0.044041142,
+ "command": 0.2095565,
+ "serial": 0.58969283,
+ "response": 1.1234151,
+ "valued": 1.0064726,
+ "respond": 0.7942035
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-to_ip]]\n=== `TO_IP`\nConverts an input string to an IP value.\n\nThe input can be a single- or multi-valued field or an expression.\n\nExample:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/ip.csv-spec[tag=to_ip]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/ip.csv-spec[tag=to_ip-result]\n|===\n\nNote that in the example above the last conversion of the string isn't\npossible. When this happens, the result is a *null* value. In this case a\n_Warning_ header is added to the response. The header will provide information\non the source of the failure:\n\n`\"Line 1:68: evaluation of [TO_IP(str2)] failed, treating result as null. Only first 20 failures recorded.\"`\n\nA following header will contain the failure reason and the offending value:\n\n`\"java.lang.IllegalArgumentException: 'foo' is not an IP string literal.\"`\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "103f4f33-c7a9-438e-86f3-a15b9befd4d8",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/to_long.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##d": 0.45952258,
+ "styled": 1.259337,
+ "##l": 1.5222389,
+ "evaluation": 0.43375134,
+ "##r": 1.2267419,
+ "java": 1.3062447,
+ "##s": 0.3287362,
+ "styling": 0.60375935,
+ "##v": 1.3016878,
+ "notation": 0.14266382,
+ "jan": 0.109882936,
+ "xml": 0.108047634,
+ "merge": 1.6435356,
+ "record": 0.28806585,
+ "##lean": 1.1339344,
+ "merging": 0.09319829,
+ "%": 0.5299507,
+ "tex": 0.12873712,
+ "'": 0.17665754,
+ "*": 0.36310175,
+ "analysis": 0.008123454,
+ "-": 0.20896083,
+ "mill": 0.90066326,
+ "tags": 0.35385126,
+ "/": 0.06302433,
+ "0": 0.4157128,
+ "input": 1.5066597,
+ "interpretation": 0.73877585,
+ "must": 0.52104986,
+ "interpreted": 0.71004343,
+ "=": 0.2996516,
+ "20": 0.93013734,
+ "virus": 0.3365072,
+ "long": 1.7678373,
+ "example": 0.8339758,
+ "result": 0.8938348,
+ "into": 0.40368047,
+ "##or": 0.05869803,
+ "si": 0.07477374,
+ "vector": 0.06390973,
+ "[": 1.029293,
+ "fred": 0.49877512,
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+ "]": 0.4185868,
+ "##ending": 0.95111394,
+ "_": 1.025314,
+ "sep": 0.6285862,
+ "st": 0.7423079,
+ "expression": 1.1003083,
+ "failures": 0.70808476,
+ "c": 0.03399289,
+ "d": 0.42380387,
+ "column": 0.004464896,
+ "j": 0.36116806,
+ "possible": 0.018263275,
+ "cs": 1.429788,
+ "single": 0.82032245,
+ "t": 0.2924828,
+ "bug": 0.27672663,
+ "v": 0.4244251,
+ "##uation": 0.025388297,
+ "timeline": 0.25895324,
+ "to": 1.3587857,
+ "|": 0.50546753,
+ "}": 0.31236127,
+ "operation": 0.1574287,
+ "da": 0.11525791,
+ "calculation": 0.26511893,
+ "dd": 0.24352203,
+ "standard": 0.06684183,
+ "dh": 0.65029776,
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+ "inputs": 0.34896305,
+ "numbers": 0.15468572,
+ "anne": 0.5066107,
+ "source": 0.9862406,
+ "specifications": 0.47924557,
+ "operator": 0.2089677,
+ "ds": 1.2935112,
+ "apache": 0.3894863,
+ "warning": 1.1604927,
+ "ren": 0.28800812,
+ "tall": 0.25432312,
+ "results": 0.20840845,
+ "ed": 0.67264026,
+ "par": 0.07960788,
+ "which": 0.040623497,
+ "##se": 0.25575244,
+ "last": 0.63068604,
+ "batch": 0.27381876,
+ "eric": 0.07475648,
+ "sha": 0.28253973,
+ "discrete": 1.8824546,
+ "##rs": 0.40573257,
+ "longer": 0.10949099,
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+ "shell": 0.13740243,
+ "failure": 1.1241976,
+ "fields": 0.87696654,
+ "decimal": 0.2594899,
+ "parameters": 0.6391851,
+ "formats": 0.09034257,
+ "memory": 0.083588414,
+ "string": 1.2965146,
+ "import": 0.14863238,
+ "foo": 1.1098453,
+ "recording": 0.14655323,
+ "interface": 0.11979993,
+ "sid": 0.7162862,
+ "mono": 1.1098696,
+ "rate": 0.2691451,
+ "alert": 0.23303746,
+ "linux": 0.57763046,
+ "##con": 0.5173883,
+ "class": 0.4475909,
+ "conversion": 1.2391593,
+ "cipher": 0.21590814,
+ "types": 0.77029115,
+ "hours": 0.010886679,
+ "##ception": 0.8339024,
+ "length": 0.9960681,
+ "false": 0.86313826,
+ "multiple": 0.42693177,
+ "specification": 0.47247952,
+ "recorded": 0.40561277,
+ "##form": 1.0959294,
+ "interpret": 0.90185213,
+ "translation": 0.4793121,
+ "syntax": 0.5945792,
+ "time": 0.84405684,
+ "pub": 0.2856127,
+ "merger": 0.16289037,
+ "fancy": 0.23993053,
+ "##long": 0.34749287,
+ "gage": 0.11370583,
+ "arithmetic": 0.023924936,
+ "convert": 1.4376051,
+ "type": 1.2592292,
+ "multi": 0.8212934,
+ "number": 0.65844166,
+ "seconds": 0.20846361,
+ "peg": 0.4639461,
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+ "flow": 0.021690292,
+ "algorithm": 0.6363772,
+ "gene": 0.1984016,
+ "index": 0.40584666,
+ "dates": 0.7837398,
+ "script": 0.24462117,
+ "fail": 0.28064385,
+ "field": 0.9459392,
+ "binary": 0.09234943,
+ "style": 0.8362934,
+ "math": 0.71420306,
+ "jude": 0.45877323,
+ "conversions": 0.12545067,
+ "longest": 0.49159437,
+ "epoch": 1.3151441,
+ "##arat": 0.895256,
+ "valid": 0.02673497,
+ "file": 0.57386,
+ "julia": 0.3179571,
+ "era": 0.2999431,
+ "twenty": 0.22285645,
+ "include": 0.87806296,
+ "editor": 0.11019763,
+ "heading": 0.06657475,
+ "display": 0.23969746,
+ "converts": 0.93665016,
+ "transformation": 0.4316672,
+ "consolidation": 0.0010064542,
+ "computation": 0.05617409,
+ "excel": 0.25356624,
+ "century": 0.2593757,
+ "##meric": 0.9267971,
+ "cod": 0.29334223,
+ "date": 1.1443539,
+ "checkpoint": 0.27668524,
+ "esq": 1.9270552,
+ "panda": 0.035019938,
+ "data": 0.5358229,
+ "integer": 0.41823903,
+ "spec": 1.512745,
+ "translate": 0.72142994,
+ "space": 0.42674217,
+ "continuous": 0.61125654,
+ "html": 0.29486707,
+ "dax": 0.09009422,
+ "tag": 0.8860283,
+ "buffer": 0.13284318,
+ "expressed": 0.03961502,
+ "including": 0.3185971,
+ "read": 0.1453353,
+ "format": 1.0309399,
+ "archive": 0.32931736,
+ "failed": 0.69096315,
+ "interrupted": 0.0939823,
+ "jamie": 0.45480064,
+ "sequence": 0.28312495,
+ "core": 0.26678354,
+ "unit": 0.3279975,
+ "null": 1.0180689,
+ "true": 0.6114811,
+ "header": 1.1102942,
+ "unix": 1.371685,
+ "problems": 0.03138864,
+ "boo": 1.0251107,
+ "code": 0.26774788,
+ "penalty": 0.11526025,
+ "values": 0.25900948,
+ "nu": 0.21301168,
+ "cad": 0.048639335,
+ "gil": 0.24722628,
+ "error": 0.8463249,
+ "##ate": 0.051837005,
+ "percent": 0.053853888,
+ "sql": 0.38307598,
+ "database": 0.1874099,
+ "transform": 0.076899484,
+ "times": 0.02770132,
+ "array": 0.06734358,
+ "parameter": 0.82262254,
+ "dated": 0.19916518,
+ "lang": 0.95172936,
+ "value": 0.9380025,
+ "included": 0.14595146,
+ "##ise": 0.8750594,
+ "int": 1.144585,
+ "command": 0.06419039,
+ "serial": 0.6610722,
+ "valued": 0.9049038,
+ "response": 0.882211,
+ "respond": 0.4765346
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-to_long]]\n=== `TO_LONG`\nConverts an input value to a long value.\n\nThe input can be a single- or multi-valued field or an expression. The input\ntype must be of a boolean, date, string or numeric type.\n\nExample:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/ints.csv-spec[tag=to_long-str]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/ints.csv-spec[tag=to_long-str-result]\n|===\n\nNote that in this example, the last conversion of the string isn't\npossible. When this happens, the result is a *null* value. In this case a\n_Warning_ header is added to the response. The header will provide information\non the source of the failure:\n\n`\"Line 1:113: evaluation of [TO_LONG(str3)] failed, treating result as null. Only first 20 failures recorded.\"`\n\nA following header will contain the failure reason and the offending value:\n\n`\"java.lang.NumberFormatException: For input string: \\\"foo\\\"\"`\n\n\nIf the input parameter is of a date type, its value will be interpreted as\nmilliseconds since the https://en.wikipedia.org/wiki/Unix_time[Unix epoch],\nconverted to long.\n\nBoolean *true* will be converted to long *1*, *false* to *0*.\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "4702f5a2-7824-46bc-ac3d-0529899ab97c",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/to_radians.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "fancy": 0.22838141,
+ "##d": 0.75616455,
+ "software": 0.039621208,
+ "##dian": 1.507227,
+ "gage": 0.3768161,
+ "pun": 0.016725786,
+ "arithmetic": 0.27647024,
+ "fin": 0.47197923,
+ "convert": 1.39545,
+ "styled": 1.0852283,
+ "alphabet": 0.16875526,
+ "during": 0.062008064,
+ "##l": 1.4969811,
+ "type": 0.85132754,
+ "degrees": 1.2912992,
+ "multi": 0.75318193,
+ "number": 0.8459012,
+ "java": 0.71601766,
+ "##s": 0.5293126,
+ "peg": 0.1758173,
+ "styling": 0.49628076,
+ "##v": 1.1598785,
+ "notation": 0.5342313,
+ "jan": 0.0037918827,
+ "merge": 1.3316749,
+ "##space": 1.1951975,
+ "https": 0.67282563,
+ "jerry": 0.22309472,
+ "text": 0.15784465,
+ "calculate": 0.02961016,
+ "algorithm": 0.48474562,
+ "%": 0.38514328,
+ "gene": 0.096678,
+ "double": 1.2740166,
+ "index": 0.32937902,
+ "circular": 0.05256442,
+ "analysis": 0.0216308,
+ "-": 0.2709835,
+ "script": 0.33463803,
+ "ra": 1.5970131,
+ "tags": 0.3778404,
+ "input": 1.0276345,
+ "analog": 0.17491959,
+ "ar": 0.09614941,
+ "as": 0.11388254,
+ "field": 1.127971,
+ "triple": 0.034288168,
+ "doubles": 0.55602515,
+ "science": 0.06013465,
+ "binary": 0.0066357735,
+ "style": 0.67384255,
+ "math": 0.89396447,
+ "circle": 0.14659719,
+ "jude": 0.1263153,
+ "bristol": 0.13170072,
+ "two": 0.2976997,
+ "bp": 0.100880265,
+ "example": 0.57384133,
+ "result": 0.8345312,
+ "##arat": 0.77815086,
+ "into": 0.53625363,
+ "computer": 0.108136766,
+ "file": 0.047156185,
+ "composed": 0.06381468,
+ "julia": 0.13630448,
+ "si": 0.42052191,
+ "physics": 0.025338786,
+ "angle": 1.3666756,
+ "vector": 0.43293425,
+ "currency": 0.021798657,
+ "[": 1.1854116,
+ "wikipedia": 0.76197314,
+ "fred": 0.22678158,
+ "eddy": 0.07448376,
+ "]": 0.53924024,
+ "graphic": 0.294934,
+ "_": 0.827031,
+ "sep": 0.46478057,
+ "include": 0.6565819,
+ "editor": 0.32145762,
+ "mat": 0.18530393,
+ "expression": 0.9229738,
+ "d": 0.3230149,
+ "display": 0.4777609,
+ "converts": 0.9027931,
+ "transformation": 0.15839057,
+ "consolidation": 0.0043695928,
+ "fraction": 0.11325088,
+ "cs": 1.3111532,
+ "single": 0.6833701,
+ "excel": 0.29761764,
+ "r": 0.13308041,
+ "t": 0.15568073,
+ "v": 0.07708845,
+ "##meric": 0.87687117,
+ "##uation": 0.07980536,
+ "cod": 0.09736413,
+ "to": 1.063856,
+ "|": 0.22224088,
+ "}": 0.4196065,
+ "chart": 0.29988587,
+ "da": 0.121342376,
+ "mathematical": 0.1586798,
+ "calculation": 0.41979173,
+ "dd": 0.21777792,
+ "symbol": 0.11158416,
+ "esq": 1.8697724,
+ "dh": 0.52329195,
+ "data": 0.2475369,
+ "converting": 0.6510005,
+ "inputs": 0.5106129,
+ "precision": 0.22617307,
+ "numbers": 0.41162938,
+ "dice": 0.10844752,
+ "din": 0.057980236,
+ "anne": 0.17774333,
+ "integer": 0.27136797,
+ "source": 0.14209518,
+ "float": 1.1873679,
+ "specifications": 0.44678694,
+ "spec": 1.7015816,
+ "translate": 0.95756024,
+ "space": 0.353794,
+ "ds": 1.1760625,
+ "continuous": 0.8885814,
+ "html": 0.2894771,
+ "lap": 0.1333421,
+ "ren": 0.059610184,
+ "tag": 0.80223924,
+ "expressed": 0.13800801,
+ "results": 0.36003387,
+ "weighted": 0.026185371,
+ "ed": 0.71828616,
+ "##se": 0.006278315,
+ "floats": 0.89506185,
+ "including": 0.13557951,
+ "degree": 1.6073575,
+ "format": 1.0523224,
+ "eric": 0.09505875,
+ "en": 0.21439068,
+ "sha": 0.30857864,
+ "discrete": 1.9444594,
+ "core": 0.22007048,
+ "sequence": 0.10479628,
+ "unit": 0.3435869,
+ "measure": 0.2838468,
+ "converted": 0.816733,
+ "geometric": 0.36858913,
+ "header": 0.8888202,
+ "http": 0.42978293,
+ "fields": 0.9700468,
+ "decimal": 0.49019024,
+ "coin": 0.019629156,
+ "formats": 0.2581585,
+ "code": 0.115110874,
+ "angles": 0.33609128,
+ "cad": 0.6420117,
+ "nu": 0.49769205,
+ "values": 0.2589182,
+ "gil": 0.40866068,
+ "units": 0.042136934,
+ "interface": 0.15896456,
+ "point": 0.0122377025,
+ "sid": 0.50507337,
+ "mono": 1.1660203,
+ "numerical": 0.08164759,
+ "wi": 0.26241255,
+ "transform": 0.14347425,
+ "floating": 0.9698151,
+ "definition": 0.002886536,
+ "value": 0.5877939,
+ "class": 0.21069832,
+ "conversion": 0.86899287,
+ "direction": 0.36638755,
+ "digital": 0.2586468,
+ "__": 0.0035510121,
+ "types": 0.4794857,
+ "equation": 0.49981803,
+ "multiple": 0.19801705,
+ "specification": 0.46583194,
+ "command": 0.026212312,
+ "valued": 0.94772947,
+ "translation": 0.6107228,
+ "syntax": 0.2948869
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-to_radians]]\n=== `TO_RADIANS`\nConverts a number in https://en.wikipedia.org/wiki/Degree_(angle)[degrees] to\nhttps://en.wikipedia.org/wiki/Radian[radians].\n\nThe input can be a single- or multi-valued field or an expression. The input\ntype must be of a numeric type and result is always `double`.\n\nExample:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/floats.csv-spec[tag=to_radians]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/floats.csv-spec[tag=to_radians-result]\n|===\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "67e1f31a-109d-4ffd-978c-4f397d70f33b",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/to_string.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##c": 0.2484758,
+ "functions": 0.862195,
+ "##d": 0.7346856,
+ "##g": 1.2685894,
+ "styled": 1.1325738,
+ "alphabet": 0.03706043,
+ "##l": 1.5191627,
+ "elmer": 0.26559973,
+ "##r": 0.82760745,
+ "java": 0.8274934,
+ "##s": 0.058022533,
+ "styling": 0.66051364,
+ "dev": 0.13331936,
+ "##v": 1.1710261,
+ "xml": 0.43313783,
+ "jan": 0.21279354,
+ "notation": 0.173385,
+ "merge": 1.5340956,
+ "api": 0.0072672307,
+ "%": 0.40825453,
+ "tex": 0.27023593,
+ "'": 0.031749014,
+ "inspired": 0.17021301,
+ "analysis": 0.10721289,
+ "-": 0.115281284,
+ "tags": 0.40712368,
+ "/": 0.043108046,
+ "as": 0.07698459,
+ "cue": 0.040758554,
+ "styles": 0.023172067,
+ "compression": 0.19201525,
+ "functional": 0.16649254,
+ "miscellaneous": 0.12845367,
+ "document": 0.14304742,
+ "matrix": 0.30112815,
+ "virus": 0.22024152,
+ "example": 0.2362664,
+ "result": 0.8567459,
+ "into": 0.2881681,
+ "encryption": 0.061571453,
+ "vector": 0.5628503,
+ "[": 0.6097377,
+ "fred": 0.46821293,
+ "embedded": 1.504088,
+ "graphic": 0.6148339,
+ "_": 0.9195204,
+ "sep": 0.39533716,
+ "sami": 0.3100119,
+ "st": 0.7312999,
+ "sv": 1.2950417,
+ "contain": 0.023887806,
+ "d": 0.24193354,
+ "sw": 0.0753446,
+ "cs": 1.2721517,
+ "simon": 0.0059731076,
+ "t": 0.4385455,
+ "v": 0.06620853,
+ "##uation": 0.11806995,
+ "to": 1.3338659,
+ "|": 0.05967813,
+ "da": 0.2795201,
+ "supported": 0.57212347,
+ "font": 0.44268674,
+ "dd": 0.17836377,
+ "ass": 0.16159241,
+ "standard": 0.10264388,
+ "dh": 0.44294,
+ "converting": 0.7138022,
+ "anne": 0.6963388,
+ "language": 0.09361176,
+ "source": 1.1319953,
+ "specifications": 0.5241848,
+ "ds": 1.0687653,
+ "apache": 0.22614864,
+ "ren": 0.124378785,
+ "results": 0.30865377,
+ "ed": 0.61078376,
+ "par": 0.17643604,
+ "image": 0.7439856,
+ "eh": 0.12431993,
+ "patterns": 0.053469416,
+ "eric": 0.06980839,
+ "sha": 0.31953573,
+ "discrete": 1.8644884,
+ "opt": 1.4654793,
+ "converted": 0.6936718,
+ "fields": 1.2089429,
+ "useful": 0.4159147,
+ "support": 0.17040324,
+ "opted": 0.3779078,
+ "formats": 0.4298363,
+ "string": 1.9290513,
+ "import": 0.21915726,
+ "sources": 0.036488544,
+ "interface": 0.44568938,
+ "wave": 0.03314378,
+ "sid": 0.62823033,
+ "mono": 0.9521613,
+ "##ci": 1.140508,
+ "class": 0.29879537,
+ "conversion": 0.7087774,
+ "##ue": 0.65560925,
+ "digital": 0.17145938,
+ "cipher": 0.16922551,
+ "types": 1.0279976,
+ "center": 0.8441069,
+ "multiple": 0.46769077,
+ "length": 0.3346285,
+ "specification": 0.64012897,
+ "editing": 0.087510996,
+ "translation": 0.3230772,
+ "syntax": 0.7037633,
+ "pub": 0.3500093,
+ "software": 0.36505187,
+ "pun": 0.07663166,
+ "convert": 1.2897865,
+ "during": 0.17122787,
+ "type": 0.660983,
+ "signatures": 0.64858943,
+ "multi": 1.0414869,
+ "compatible": 0.2088701,
+ "peg": 0.62220454,
+ "##space": 1.0596368,
+ "text": 1.0508012,
+ "jerry": 0.315642,
+ "algorithm": 0.5750247,
+ "images": 0.23959605,
+ "method": 0.08750499,
+ "gene": 0.15349925,
+ "signed": 0.6189449,
+ "index": 0.5016548,
+ "script": 0.34172118,
+ "field": 1.3905399,
+ "binary": 0.054255717,
+ "style": 0.83956623,
+ "math": 0.46149707,
+ "jude": 0.3029398,
+ "##val": 1.0814698,
+ "template": 0.18747443,
+ "signature": 1.4469534,
+ "translator": 0.095570475,
+ "pattern": 0.38535503,
+ "stamp": 0.09779793,
+ "##arat": 0.7251951,
+ "file": 0.648646,
+ "strings": 0.24762401,
+ "composed": 0.1915626,
+ "julia": 0.13939583,
+ "eddy": 0.058566272,
+ "copy": 0.029279577,
+ "editor": 0.8371565,
+ "include": 0.7210595,
+ "mat": 0.16983074,
+ "heading": 0.21429822,
+ "display": 0.2731066,
+ "##id": 0.7582614,
+ "converts": 0.7308517,
+ "transformation": 0.04795167,
+ "excel": 0.4067354,
+ "framework": 0.0464172,
+ "organized": 0.11939979,
+ "cod": 0.13846968,
+ "shaw": 0.1271756,
+ "esq": 2.0682793,
+ "data": 0.488987,
+ "sign": 0.38071883,
+ "dice": 0.026188621,
+ "spec": 1.5458738,
+ "translate": 0.83869845,
+ "space": 0.4616206,
+ "protocol": 0.17772177,
+ "split": 0.08843403,
+ "plain": 0.059425753,
+ "function": 0.9146841,
+ "continuous": 0.7651553,
+ "html": 0.6220581,
+ "lap": 0.07712785,
+ "tag": 0.84917486,
+ "buffer": 0.15866199,
+ "combine": 0.017330755,
+ "including": 0.24727106,
+ "mp": 0.024228903,
+ "format": 1.0916158,
+ "##ido": 1.6070347,
+ "archive": 0.2621168,
+ "sort": 0.2689254,
+ "tool": 0.14292043,
+ "jamie": 0.34003136,
+ "core": 0.3020328,
+ "sequence": 0.16933261,
+ "unit": 0.04423265,
+ "##ida": 0.48404646,
+ "header": 1.0773377,
+ "files": 0.0120962635,
+ "differentiation": 0.06830779,
+ "code": 0.01507908,
+ "cad": 0.565506,
+ "roc": 0.092542455,
+ "link": 0.0805004,
+ "gil": 0.2621634,
+ "sql": 0.16294092,
+ "database": 0.27964115,
+ "transform": 0.16444154,
+ "para": 0.20426899,
+ "array": 0.12706947,
+ "alias": 1.1414928,
+ "command": 0.25919613,
+ "inline": 1.2290363,
+ "serial": 0.73581463
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-to_string]]\n=== `TO_STRING`\n[.text-center]\nimage::esql/functions/signature/to_string.svg[Embedded,opts=inline]\n\nConverts a field into a string. For example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=to_string]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=to_string-result]\n|===\n\nIt also works fine on multivalued fields:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=to_string_multivalue]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=to_string_multivalue-result]\n|===\n\nAlias: TO_STR\n\nSupported types:\n\ninclude::types/to_string.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "d9d6b268-0282-462d-aedb-0ddd48dc4b2c",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/to_unsigned_long.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "exception": 0.020920213,
+ "##d": 0.40497574,
+ "laps": 0.1209155,
+ "styled": 1.1854608,
+ "alphabet": 0.018978322,
+ "##l": 1.490883,
+ "evaluation": 0.32439116,
+ "##r": 1.4063692,
+ "character": 0.31882715,
+ "java": 1.4397782,
+ "##s": 0.09809387,
+ "styling": 0.48889297,
+ "len": 0.03286835,
+ "##v": 1.2616359,
+ "notation": 1.1902237,
+ "xml": 0.17512493,
+ "merge": 1.5842328,
+ "record": 0.07342481,
+ "percussion": 0.024066923,
+ "##lean": 1.110237,
+ "%": 0.2019202,
+ "tex": 0.030920073,
+ "league": 0.4000968,
+ "*": 0.3671459,
+ "remaining": 0.014717815,
+ "mill": 0.89887947,
+ "tags": 0.31958216,
+ "0": 0.22850284,
+ "input": 1.3041483,
+ "1": 0.04778883,
+ "interpretation": 0.7078274,
+ "must": 0.30021155,
+ "interpreted": 0.7131587,
+ "20": 0.6901193,
+ "virus": 0.22310998,
+ "long": 1.5912832,
+ "example": 0.80596983,
+ "result": 0.81726897,
+ "characters": 0.48632807,
+ "into": 0.071313076,
+ "si": 0.1367762,
+ "vector": 0.09554675,
+ "[": 0.8506401,
+ "fred": 0.4844088,
+ "]": 0.20032291,
+ "##ending": 0.84214073,
+ "_": 0.88427716,
+ "sep": 0.3296362,
+ "st": 0.89951473,
+ "expression": 1.0762209,
+ "failures": 0.9614839,
+ "c": 0.10988902,
+ "d": 0.32441735,
+ "e": 0.89871335,
+ "f": 0.97715926,
+ "j": 0.4785685,
+ "cs": 1.419342,
+ "single": 0.77033377,
+ "t": 0.11429967,
+ "bug": 0.24480997,
+ "v": 0.31213105,
+ "isa": 0.075259134,
+ "##uation": 0.06979516,
+ "timeline": 1.965568E-4,
+ "digits": 0.6623828,
+ "to": 0.9374287,
+ "|": 0.3026992,
+ "operation": 0.15094966,
+ "}": 0.0953089,
+ "da": 0.017813342,
+ "calculation": 0.24596745,
+ "dd": 0.1540922,
+ "standard": 0.058511406,
+ "dh": 0.50902605,
+ "converting": 0.6782071,
+ "inputs": 0.07234089,
+ "dl": 0.057594646,
+ "anne": 0.26070768,
+ "source": 0.4620091,
+ "specifications": 0.37212938,
+ "operator": 0.1434758,
+ "ds": 1.1167454,
+ "ata": 0.0370641,
+ "apache": 0.4078666,
+ "ul": 1.8432684,
+ "warning": 1.0473728,
+ "ren": 0.24262439,
+ "ed": 0.6628727,
+ "digit": 0.62078613,
+ "par": 0.13045713,
+ "##se": 0.060831044,
+ "chess": 0.042818103,
+ "last": 0.90785134,
+ "batch": 0.32892013,
+ "eric": 0.21110429,
+ "sha": 0.36510175,
+ "discrete": 1.8060874,
+ "##rs": 0.37851918,
+ "converted": 0.9321448,
+ "failure": 1.1259493,
+ "final": 0.10138558,
+ "decimal": 1.0431676,
+ "fields": 0.8661631,
+ "parameters": 0.71616644,
+ "formats": 0.111756556,
+ "string": 1.3509212,
+ "interface": 0.15182367,
+ "sid": 0.79385585,
+ "mono": 1.1124655,
+ "alert": 0.11335402,
+ "rate": 0.034602128,
+ "linux": 0.45315874,
+ "##con": 0.4682752,
+ "class": 0.4323693,
+ "conversion": 1.2002629,
+ "cipher": 0.270014,
+ "digital": 0.0807616,
+ "types": 0.63435096,
+ "##ception": 0.9744857,
+ "length": 0.8311236,
+ "false": 0.67556125,
+ "multiple": 0.36958712,
+ "specification": 0.51853496,
+ "recorded": 0.25134343,
+ "##form": 1.1236199,
+ "interpret": 0.83702105,
+ "translation": 0.4427286,
+ "syntax": 0.5196711,
+ "time": 0.7381153,
+ "pub": 0.36562797,
+ "mark": 0.96655416,
+ "merger": 0.0436741,
+ "fancy": 0.15387012,
+ "gage": 0.25267005,
+ "pun": 0.031849712,
+ "arithmetic": 0.22653118,
+ "convert": 1.3724897,
+ "type": 1.2196214,
+ "multi": 0.7934862,
+ "number": 0.5252664,
+ "seconds": 0.260218,
+ "peg": 0.4613403,
+ "problem": 0.13135289,
+ "##space": 1.0788,
+ "nan": 0.23853317,
+ "jerry": 0.44874668,
+ "enter": 0.022501625,
+ "algorithm": 0.6007579,
+ "attempts": 0.036424983,
+ "gene": 0.15299259,
+ "signed": 1.2013334,
+ "index": 0.3573845,
+ "dates": 0.71446854,
+ "script": 0.22340244,
+ "fail": 0.3067227,
+ "field": 0.99919975,
+ "binary": 0.444871,
+ "style": 0.7216455,
+ "math": 0.7050134,
+ "jude": 0.23853007,
+ "longest": 0.1412295,
+ "log": 0.012955423,
+ "epoch": 1.4258703,
+ "##arat": 0.6922126,
+ "valid": 0.0037568484,
+ "computer": 0.035904143,
+ "file": 0.4762375,
+ "composed": 0.12784249,
+ "era": 0.26607656,
+ "julia": 0.045037076,
+ "eddy": 0.110238634,
+ "include": 0.69946885,
+ "editor": 0.17868936,
+ "display": 0.24351989,
+ "converts": 0.83128107,
+ "transformation": 0.25516823,
+ "excel": 0.11894648,
+ "century": 0.19440761,
+ "##meric": 0.82119125,
+ "cod": 0.51832086,
+ "li": 0.57958156,
+ "exponential": 1.4796907,
+ "date": 1.0585632,
+ "checkpoint": 0.32458627,
+ "esq": 1.8319718,
+ "data": 0.3286967,
+ "integer": 0.5823447,
+ "spec": 1.5019205,
+ "translate": 0.7037663,
+ "space": 0.21772547,
+ "continuous": 0.46852487,
+ "html": 0.14544405,
+ "tag": 0.92100585,
+ "buffer": 0.068907835,
+ "combine": 0.05820025,
+ "marked": 0.012005807,
+ "read": 0.11977254,
+ "including": 0.031641264,
+ "format": 1.0425175,
+ "archive": 0.11575995,
+ "failed": 0.7820269,
+ "illegal": 0.05641895,
+ "core": 0.31579342,
+ "sequence": 0.29216927,
+ "jamie": 0.14655672,
+ "unit": 0.35155612,
+ "null": 0.8363805,
+ "true": 0.49135607,
+ "header": 1.02997,
+ "unix": 1.2357091,
+ "problems": 0.31515378,
+ "boo": 1.0588232,
+ "code": 0.29705334,
+ "penalty": 0.22304188,
+ "line": 0.20272617,
+ "nu": 0.2863298,
+ "values": 0.10458446,
+ "cad": 0.06443374,
+ "gil": 0.38969317,
+ "error": 0.82873887,
+ "##ate": 0.1757621,
+ "sql": 0.22944348,
+ "nonsense": 0.0566125,
+ "times": 0.018510457,
+ "##3": 0.6209073,
+ "array": 0.06271032,
+ "parameter": 0.9428402,
+ "alias": 1.2832395,
+ "dated": 0.09801681,
+ "lang": 0.9965833,
+ "value": 0.89942837,
+ "expo": 0.3580663,
+ "##ise": 0.7701886,
+ "equation": 0.46857443,
+ "int": 1.1029867,
+ "command": 0.074472144,
+ "marking": 0.2902604,
+ "serial": 0.7193897,
+ "##ong": 1.4172986,
+ "valued": 0.9693374,
+ "response": 0.80384654,
+ "unsigned": 1.6525033,
+ "respond": 0.36428067
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-to_unsigned_long]]\n=== `TO_UNSIGNED_LONG`\nConverts an input value to an unsigned long value.\n\nThe input can be a single- or multi-valued field or an expression. The input\ntype must be of a boolean, date, string or numeric type.\n\nExample:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/ints.csv-spec[tag=to_unsigned_long-str]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/ints.csv-spec[tag=to_unsigned_long-str-result]\n|===\n\nNote that in this example, the last conversion of the string isn't\npossible. When this happens, the result is a *null* value. In this case a\n_Warning_ header is added to the response. The header will provide information\non the source of the failure:\n\n`\"Line 1:133: evaluation of [TO_UL(str3)] failed, treating result as null. Only first 20 failures recorded.\"`\n\nA following header will contain the failure reason and the offending value:\n\n`\"java.lang.NumberFormatException: Character f is neither a decimal digit number, decimal point, nor \\\"e\\\" notation exponential mark.\"`\n\n\nIf the input parameter is of a date type, its value will be interpreted as\nmilliseconds since the https://en.wikipedia.org/wiki/Unix_time[Unix epoch],\nconverted to unsigned long.\n\nBoolean *true* will be converted to unsigned long *1*, *false* to *0*.\n\nAlias: TO_ULONG, TO_UL\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "849b75f7-f803-44bb-84e7-b5527df6d1e1",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/to_version.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##c": 0.2829145,
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+ "##g": 1.2040232,
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+ "##frame": 0.09586556,
+ "##l": 1.4565599,
+ "elmer": 0.3004724,
+ "##r": 1.006625,
+ "java": 0.73922145,
+ "##s": 0.24824388,
+ "styling": 0.57817096,
+ "dev": 0.0997065,
+ "##v": 1.260845,
+ "xml": 0.35400614,
+ "notation": 0.26051542,
+ "jan": 0.0770442,
+ "merge": 1.4895533,
+ "merging": 0.1634385,
+ "%": 0.6504786,
+ "tex": 0.15712883,
+ "analysis": 0.28122148,
+ "version": 1.9032944,
+ "-": 0.054853868,
+ "tags": 0.35149926,
+ "/": 0.26761168,
+ "input": 1.1530336,
+ "as": 0.18750882,
+ "miscellaneous": 0.013803499,
+ "document": 0.08943132,
+ "matrix": 0.21677911,
+ "virus": 0.27548462,
+ "example": 0.44447607,
+ "result": 0.6897175,
+ "si": 0.10540938,
+ "vector": 0.5069509,
+ "[": 0.75091255,
+ "fred": 0.40683603,
+ "embedded": 1.5115266,
+ "graphic": 0.6637976,
+ "_": 1.0492952,
+ "sep": 0.31934702,
+ "sami": 0.22561204,
+ "sv": 1.2773285,
+ "expression": 0.8041171,
+ "contain": 0.22731793,
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+ "single": 0.6575959,
+ "t": 0.22680077,
+ "v": 0.6388355,
+ "collaboration": 0.11679242,
+ "##uation": 0.02046914,
+ "to": 1.3837793,
+ "|": 0.416845,
+ "da": 0.21501352,
+ "}": 0.09544966,
+ "chart": 0.04696637,
+ "supported": 0.72351485,
+ "font": 0.3031164,
+ "ass": 0.15318754,
+ "dd": 0.024211217,
+ "standard": 0.006538308,
+ "dh": 0.3915397,
+ "converting": 0.53533536,
+ "inputs": 0.36751983,
+ "anne": 0.6717728,
+ "source": 0.88343215,
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+ "ds": 1.0571598,
+ "apache": 0.1556594,
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+ "par": 0.02669516,
+ "image": 0.9026426,
+ "batch": 0.34069413,
+ "sha": 0.4123181,
+ "ve": 1.6241591,
+ "discrete": 1.8851519,
+ "opt": 1.4436008,
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+ "opted": 0.2819223,
+ "formats": 0.35817754,
+ "string": 0.8913528,
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+ "mono": 0.9448132,
+ "##ci": 1.0703499,
+ "class": 0.25677016,
+ "conversion": 0.7088173,
+ "digital": 0.14485008,
+ "types": 1.0667754,
+ "center": 0.72359914,
+ "multiple": 0.20416646,
+ "specification": 0.68834805,
+ "translation": 0.36016253,
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+ "convert": 1.2171537,
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+ "type": 0.7004182,
+ "signatures": 0.4682631,
+ "multi": 0.45511323,
+ "peg": 0.51171875,
+ "##space": 0.98524845,
+ "text": 1.0322949,
+ "jerry": 0.28918436,
+ "flow": 0.018638588,
+ "algorithm": 0.41621605,
+ "phase": 0.18156831,
+ "images": 0.32927054,
+ "gene": 0.36118624,
+ "signed": 0.54397,
+ "index": 0.37580502,
+ "script": 0.40429306,
+ "field": 0.7341361,
+ "versions": 1.086769,
+ "style": 0.8154208,
+ "math": 0.4746386,
+ "jude": 0.10792104,
+ "template": 0.2076578,
+ "signature": 1.3154806,
+ "log": 0.038837988,
+ "jp": 0.15194482,
+ "translator": 0.07263193,
+ "pattern": 0.19762139,
+ "##arat": 0.5289099,
+ "file": 0.78399104,
+ "julia": 0.21046259,
+ "copy": 0.23753986,
+ "include": 1.1672701,
+ "editor": 0.6243547,
+ "heading": 0.047859173,
+ "display": 0.19826306,
+ "miranda": 0.011629526,
+ "converts": 0.6841842,
+ "##id": 0.45514864,
+ "consolidation": 0.1075202,
+ "transformation": 0.03152264,
+ "excel": 0.2697597,
+ "report": 0.05021893,
+ "cod": 0.21572551,
+ "checkpoint": 0.122022025,
+ "esq": 2.057156,
+ "data": 0.34817025,
+ "sign": 0.3846425,
+ "dice": 0.031884585,
+ "spec": 1.6623635,
+ "translate": 0.7835577,
+ "space": 0.2664508,
+ "function": 0.8819916,
+ "continuous": 0.8337067,
+ "html": 0.50463825,
+ "lap": 0.22139767,
+ "tag": 0.84013796,
+ "buffer": 0.06771629,
+ "combine": 0.07550125,
+ "including": 0.71734464,
+ "read": 0.02924855,
+ "like": 0.09586697,
+ "format": 1.04627,
+ "##ido": 1.38028,
+ "archive": 0.38505253,
+ "includes": 0.12865034,
+ "sort": 0.036391187,
+ "revision": 0.75112563,
+ "core": 0.26201653,
+ "jamie": 0.23534009,
+ "sequence": 0.061374042,
+ "unit": 0.09259559,
+ "##ida": 0.19942488,
+ "header": 1.0250381,
+ "files": 0.077057324,
+ "differentiation": 0.20808475,
+ "code": 0.09383319,
+ "blend": 0.056145012,
+ "cad": 0.5664118,
+ "values": 0.15250902,
+ "gil": 0.18618298,
+ "percent": 0.20841445,
+ "sql": 0.10292785,
+ "database": 0.29129058,
+ "transform": 0.05608945,
+ "alias": 1.3933263,
+ "value": 0.88963157,
+ "included": 0.4463493,
+ "command": 0.047241583,
+ "inline": 1.1892232,
+ "serial": 0.6839347,
+ "valued": 0.9468211
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-to_version]]\n=== `TO_VERSION`\n[.text-center]\nimage::esql/functions/signature/to_version.svg[Embedded,opts=inline]\n\nConverts an input string to a version value. For example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/version.csv-spec[tag=to_version]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/version.csv-spec[tag=to_version-result]\n|===\n\nThe input can be a single- or multi-valued field or an expression.\n\nAlias: TO_VER\n\nSupported types:\n\ninclude::types/to_version.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "caa85685-a599-49ee-9ac6-d3dcdba99174",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/trim.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.04511126,
+ "vladimir": 0.03086263,
+ "##c": 0.4366758,
+ "functions": 0.8479886,
+ "##d": 0.58715385,
+ "leading": 1.517869,
+ "allowed": 0.09834856,
+ "##g": 0.9913031,
+ "del": 0.3210115,
+ "styled": 1.0884782,
+ "alphabet": 0.01797833,
+ "##frame": 0.001489126,
+ "##l": 1.4741745,
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+ "character": 0.0103133125,
+ "trailing": 1.3999546,
+ "java": 0.6367439,
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+ "trim": 2.2812502,
+ "styling": 0.7823599,
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+ "mid": 0.29569796,
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+ "virus": 0.20028028,
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+ "characters": 0.39904243,
+ "coding": 0.02525196,
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+ "blocking": 0.09125679,
+ "vector": 0.4833116,
+ "[": 0.532691,
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+ "suppress": 0.6370207,
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+ "bug": 0.18462217,
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+ "ds": 1.0015324,
+ "apache": 0.2517275,
+ "white": 0.29323226,
+ "exclude": 0.26775116,
+ "results": 0.18026471,
+ "ed": 0.47375038,
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+ "image": 0.79189324,
+ "patterns": 0.018705865,
+ "eric": 0.055744395,
+ "sha": 0.3535121,
+ "discrete": 1.8626121,
+ "opt": 1.4384525,
+ "extract": 0.3251978,
+ "spaces": 0.5569193,
+ "trimmed": 0.8307751,
+ "fields": 5.134218E-4,
+ "support": 0.59649336,
+ "opted": 0.3856028,
+ "formats": 0.4350971,
+ "string": 1.2545178,
+ "video": 0.006908341,
+ "interface": 0.30075854,
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+ "remove": 1.2460215,
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+ "button": 0.18119423,
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+ "signatures": 0.69626015,
+ "peg": 0.67064744,
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+ "text": 1.0445534,
+ "jerry": 0.37744424,
+ "flow": 0.039397296,
+ "algorithm": 0.49579358,
+ "reduce": 0.46894434,
+ "images": 0.21657303,
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+ "signed": 0.511068,
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+ "flag": 0.104068406,
+ "signature": 1.576468,
+ "jp": 0.29441905,
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+ "sequences": 0.26761872,
+ "layer": 0.120822325,
+ "##arat": 0.7279639,
+ "file": 0.6970539,
+ "strings": 1.0471718,
+ "composed": 0.26037163,
+ "eddy": 0.15912573,
+ "elimination": 0.009121769,
+ "editor": 0.83531535,
+ "include": 0.76272243,
+ "erase": 0.19794253,
+ "heading": 0.2885889,
+ "display": 0.2606333,
+ "##id": 0.6964139,
+ "lead": 0.24734776,
+ "excel": 0.14916095,
+ "removed": 0.32430783,
+ "cod": 0.11775803,
+ "removes": 0.5320474,
+ "discreet": 0.09523575,
+ "checkpoint": 0.43546945,
+ "esq": 2.0602453,
+ "data": 0.20646209,
+ "sign": 0.47447982,
+ "dice": 0.15767513,
+ "spec": 1.4585413,
+ "space": 0.9720054,
+ "whites": 1.1699716,
+ "protocol": 0.04622918,
+ "strip": 0.09502655,
+ "tab": 0.32789546,
+ "function": 0.99952966,
+ "continuous": 0.71489733,
+ "html": 0.48043823,
+ "lap": 0.15085402,
+ "tag": 0.8851538,
+ "buffer": 0.41128936,
+ "combine": 0.2078545,
+ "including": 0.23265816,
+ "##pace": 1.2778729,
+ "format": 1.0225658,
+ "##ido": 1.5368887,
+ "archive": 0.36649904,
+ "sort": 0.11098273,
+ "tool": 0.25575548,
+ "core": 0.4541924,
+ "sequence": 0.31147194,
+ "jamie": 0.23712559,
+ "##ida": 0.25607803,
+ "header": 1.1915282,
+ "files": 0.09384491,
+ "carly": 0.13118081,
+ "differentiation": 0.13607259,
+ "bot": 0.12047545,
+ "cad": 0.5448066,
+ "link": 0.0021246735,
+ "technique": 0.073411845,
+ "gil": 0.0058856513,
+ "percent": 0.2486413,
+ "para": 0.21479505,
+ "##lib": 0.16818233,
+ "camouflage": 0.014627009,
+ "included": 0.044575546,
+ "cleaning": 0.09935685,
+ "keyboard": 0.3637065,
+ "banner": 0.047592994,
+ "control": 0.15853575,
+ "command": 0.260819,
+ "inline": 1.3186547,
+ "serial": 0.5044866,
+ "slash": 0.493928,
+ "maintenance": 0.062545605
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-trim]]\n=== `TRIM`\n[.text-center]\nimage::esql/functions/signature/trim.svg[Embedded,opts=inline]\n\nRemoves leading and trailing whitespaces from strings.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/string.csv-spec[tag=trim]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/string.csv-spec[tag=trim-result]\n|===\n\nSupported types:\n\ninclude::types/trim.asciidoc[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "ecc61f58-b027-4ded-a0e2-974d31b73faf",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/functions/type_conversion_functions.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##c": 0.5225525,
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+ "##dian": 1.0933845,
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+ "arithmetic": 0.32413724,
+ "##i": 0.030088825,
+ "convert": 1.3223503,
+ "alphabet": 0.39253226,
+ "program": 0.027818542,
+ "type": 1.8873866,
+ "##l": 1.4753577,
+ "degrees": 0.9843736,
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+ "doubles": 0.12866229,
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+ "binary": 0.28397316,
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+ "circle": 0.043597415,
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+ "longest": 0.16404139,
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+ "##ler": 0.029621733,
+ "pattern": 0.025138274,
+ "monte": 0.036898445,
+ "##bre": 1.2389597,
+ "long": 0.7546804,
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+ "julia": 0.12751451,
+ "vector": 0.25046644,
+ "fred": 0.42055652,
+ "[": 0.14913549,
+ "_": 0.7977942,
+ "include": 0.74379885,
+ "editor": 0.62054193,
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+ "text": "[[esql]]\n= {esql}\n\n:esql-tests: {xes-repo-dir}/../../plugin/esql/qa\n:esql-specs: {esql-tests}/testFixtures/src/main/resources\n\n[partintro]\n\npreview::[]\n\nThe {es} Query Language ({esql}) provides a powerful way to filter, transform, and analyze data stored in {es}.\nUsers can author {esql} queries to find specific events, perform statistical analysis, and generate visualizations.\nIt supports a wide range of commands and functions that enable users to perform various data operations,\nsuch as filtering, aggregation, time-series analysis, and more.\n\nThe {es} Query Language ({esql}) makes use of \"pipes\" to manipulate and transform data in a step-by-step fashion.\nThis approach allows users to compose a series of operations, where the output of one operation becomes the input for the next,\nenabling complex data transformations and analysis.\n\nA simple example of an {esql} query is shown below:\n[source,esql]\n----\nFROM employees\n| EVAL age = DATE_DIFF(NOW(), birth_date, 'Y')\n| STATS AVG(age) BY department\n| SORT age DESC\n----\n\nEach {esql} query starts with a <>. A source command produces\na table, typically with data from {es}.\n\nimage::images/esql/source-command.svg[A source command producing a table from {es},align=\"center\"]\n\nA source command can be followed by one or more\n<>. Processing commands change an\ninput table by adding, removing, or changing rows and columns.\nProcessing commands can perform filtering, projection, aggregation, and more.\n\nimage::images/esql/processing-command.svg[A processing command changing an input table,align=\"center\"]\n\nYou can chain processing commands, separated by a pipe character: `|`. Each\nprocessing command works on the output table of the previous command.\n\nimage::images/esql/chaining-processing-commands.svg[Processing commands can be chained,align=\"center\"]\n\nThe result of a query is the table produced by the final processing command.\n\n[discrete]\n=== The {esql} Compute Engine\n\n{esql} is more than a language. It represents a significant investment in new compute capabilities within {es}.\nTo achieve both the functional and performance requirements for {esql}, it was necessary to build an entirely new\ncompute architecture. {esql} search, aggregation, and transformation functions are directly executed within Elasticsearch\nitself. Query expressions are not transpiled to Query DSL for execution. This approach allows {esql} to be extremely performant and versatile.\n\nThe new {esql} execution engine was designed with performance in mind — it operates on blocks at a time instead of per row, targets vectorization and cache locality, and embraces specialization and multi-threading. It is a separate component from the existing Elasticsearch aggregation framework with different performance characteristics.\n\ninclude::esql-get-started.asciidoc[]\n\ninclude::esql-language.asciidoc[]\n\ninclude::esql-rest.asciidoc[]\n\ninclude::esql-kibana.asciidoc[]\n\ninclude::task-management.asciidoc[]\n\ninclude::esql-limitations.asciidoc[]\n\n:esql-tests!:\n:esql-specs!:\n"
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+ "tab": 0.3043197,
+ "from": 1.7051105,
+ "html": 0.5065846,
+ "tag": 0.81837523,
+ "group": 0.51122993,
+ "including": 0.06323574,
+ "format": 0.7326523,
+ "archive": 0.4648229,
+ "published": 0.108073205,
+ "plus": 0.05294144,
+ "revision": 0.050207593,
+ "jamie": 0.49601024,
+ "sequence": 0.14086571,
+ "mapped": 0.34275234,
+ "header": 0.667348,
+ "files": 0.2352569,
+ "legacy": 0.3157491,
+ "code": 0.073467344,
+ "bot": 0.11301476,
+ "cad": 0.3853852,
+ "media": 0.45141524,
+ "aggregate": 0.23448625,
+ "sql": 0.13970324,
+ "database": 0.67297614,
+ "##ice": 0.7140052,
+ "repeat": 0.059279148,
+ "##lib": 0.178905,
+ "command": 0.9073194,
+ "currently": 1.0047461,
+ "serial": 0.41546217,
+ "online": 0.052591678
+ },
+ "is_truncated": true,
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-metadata-fields]]\n=== {esql} metadata fields\n\n++++\nMetadata fields\n++++\n\n{esql} can access <>. The currently\nsupported ones are:\n\n * <>: the index to which the document belongs.\n The field is of the type <>.\n\n * <>: the source document's ID. The field is of the\n type <>.\n\n * `_version`: the source document's version. The field is of the type\n <>.\n\nTo enable the access to these fields, the <> source command needs\nto be provided with a dedicated directive:\n\n[source,esql]\n----\nFROM index [METADATA _index, _id]\n----\n\nMetadata fields are only available if the source of the data is an index.\nConsequently, `FROM` is the only source commands that supports the `METADATA`\ndirective.\n\nOnce enabled, the fields are then available to subsequent processing commands, just\nlike the other index fields:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/metadata-ignoreCsvTests.csv-spec[tag=multipleIndices]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/metadata-ignoreCsvTests.csv-spec[tag=multipleIndices-result]\n|===\n\nAlso, similar to the index fields, once an aggregation is performed, a\nmetadata field will no longer be accessible to subsequent commands, unless\nused as grouping field:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/metadata-ignoreCsvTests.csv-spec[tag=metaIndexInAggs]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/metadata-ignoreCsvTests.csv-spec[tag=metaIndexInAggs-result]\n|===\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "d5984d31-51bc-4688-b426-21076d7a71dc",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/multivalued_fields.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.13339864,
+ "##d": 0.9167984,
+ "del": 0.4601096,
+ "alphabet": 0.275619,
+ "##l": 1.4994311,
+ "##p": 0.15531154,
+ "bar": 0.7470909,
+ "java": 1.141308,
+ "##v": 0.51032794,
+ "notation": 0.25848266,
+ "xml": 0.17512313,
+ "jan": 0.12220043,
+ "rank": 0.23432294,
+ "understanding": 0.12581906,
+ "api": 0.2300752,
+ "databases": 0.425419,
+ "pool": 0.14740403,
+ "+": 0.9988318,
+ "analysis": 0.19905655,
+ "-": 0.32803383,
+ "/": 0.4027667,
+ "miller": 0.1672976,
+ "re": 0.06085976,
+ "interpretation": 0.34432495,
+ "domain": 0.16096482,
+ "<": 0.43049768,
+ "relative": 0.8312991,
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+ "##bre": 1.2238446,
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+ "long": 0.74509025,
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+ "key": 0.4426829,
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+ "v": 0.19532752,
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+ "format": 0.3869434,
+ "mv": 1.512071,
+ "archive": 0.40960708,
+ "sort": 0.15961862,
+ "plus": 0.2678131,
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+ "market": 0.22086081,
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+ "online": 0.07700954,
+ "properties": 0.9157865
+ },
+ "is_truncated": true,
+ "model_id": ".elser_model_2"
+ },
+ "text": "[[esql-multivalued-fields]]\n=== {esql} multivalued fields\n\n++++\nMultivalued fields\n++++\n\n{esql} is fine reading from multivalued fields:\n\n[source,console,id=esql-multivalued-fields-reorders]\n----\nPOST /mv/_bulk?refresh\n{ \"index\" : {} }\n{ \"a\": 1, \"b\": [2, 1] }\n{ \"index\" : {} }\n{ \"a\": 2, \"b\": 3 }\n\nPOST /_query\n{\n \"query\": \"FROM mv | LIMIT 2\"\n}\n----\n\nMultivalued fields come back as a JSON array:\n\n[source,console-result]\n----\n{\n \"columns\": [\n { \"name\": \"a\", \"type\": \"long\"},\n { \"name\": \"b\", \"type\": \"long\"}\n ],\n \"values\": [\n [1, [1, 2]],\n [2, 3]\n ]\n}\n----\n\nThe relative order of values in a multivalued field is undefined. They'll frequently be in\nascending order but don't rely on that.\n\n[discrete]\n[[esql-multivalued-fields-dups]]\n==== Duplicate values\n\nSome field types, like <> remove duplicate values on write:\n\n[source,console,id=esql-multivalued-fields-kwdups]\n----\nPUT /mv\n{\n \"mappings\": {\n \"properties\": {\n \"b\": {\"type\": \"keyword\"}\n }\n }\n}\n\nPOST /mv/_bulk?refresh\n{ \"index\" : {} }\n{ \"a\": 1, \"b\": [\"foo\", \"foo\", \"bar\"] }\n{ \"index\" : {} }\n{ \"a\": 2, \"b\": [\"bar\", \"bar\"] }\n\nPOST /_query\n{\n \"query\": \"FROM mv | LIMIT 2\"\n}\n----\n\nAnd {esql} sees that removal:\n\n[source,console-result]\n----\n{\n \"columns\": [\n { \"name\": \"a\", \"type\": \"long\"},\n { \"name\": \"b\", \"type\": \"keyword\"}\n ],\n \"values\": [\n [1, [\"bar\", \"foo\"]],\n [2, \"bar\"]\n ]\n}\n----\n\nBut other types, like `long` don't remove duplicates.\n\n[source,console,id=esql-multivalued-fields-longdups]\n----\nPUT /mv\n{\n \"mappings\": {\n \"properties\": {\n \"b\": {\"type\": \"long\"}\n }\n }\n}\n\nPOST /mv/_bulk?refresh\n{ \"index\" : {} }\n{ \"a\": 1, \"b\": [2, 2, 1] }\n{ \"index\" : {} }\n{ \"a\": 2, \"b\": [1, 1] }\n\nPOST /_query\n{\n \"query\": \"FROM mv | LIMIT 2\"\n}\n----\n\nAnd {esql} also sees that:\n\n[source,console-result]\n----\n{\n \"columns\": [\n { \"name\": \"a\", \"type\": \"long\"},\n { \"name\": \"b\", \"type\": \"long\"}\n ],\n \"values\": [\n [1, [1, 2, 2]],\n [2, [1, 1]]\n ]\n}\n----\n\nThis is all at the storage layer. If you store duplicate `long`s and then\nconvert them to strings the duplicates will stay:\n\n[source,console,id=esql-multivalued-fields-longdups-tostring]\n----\nPUT /mv\n{\n \"mappings\": {\n \"properties\": {\n \"b\": {\"type\": \"long\"}\n }\n }\n}\n\nPOST /mv/_bulk?refresh\n{ \"index\" : {} }\n{ \"a\": 1, \"b\": [2, 2, 1] }\n{ \"index\" : {} }\n{ \"a\": 2, \"b\": [1, 1] }\n\nPOST /_query\n{\n \"query\": \"FROM mv | EVAL b=TO_STRING(b) | LIMIT 2\"\n}\n----\n\n[source,console-result]\n----\n{\n \"columns\": [\n { \"name\": \"a\", \"type\": \"long\"},\n { \"name\": \"b\", \"type\": \"keyword\"}\n ],\n \"values\": [\n [1, [\"1\", \"2\", \"2\"]],\n [2, [\"1\", \"1\"]]\n ]\n}\n----\n\n[discrete]\n[[esql-multivalued-fields-functions]]\n==== Functions\n\nUnless otherwise documented functions will return `null` when applied to a multivalued\nfield. This behavior may change in a later version.\n\n[source,console,id=esql-multivalued-fields-mv-into-null]\n----\nPOST /mv/_bulk?refresh\n{ \"index\" : {} }\n{ \"a\": 1, \"b\": [2, 1] }\n{ \"index\" : {} }\n{ \"a\": 2, \"b\": 3 }\n\nPOST /_query\n{\n \"query\": \"FROM mv | EVAL b + 2, a + b | LIMIT 4\"\n}\n----\n\n[source,console-result]\n----\n{\n \"columns\": [\n { \"name\": \"a\", \"type\": \"long\"},\n { \"name\": \"b\", \"type\": \"long\"},\n { \"name\": \"b+2\", \"type\": \"long\"},\n { \"name\": \"a+b\", \"type\": \"long\"}\n ],\n \"values\": [\n [1, [1, 2], null, null],\n [2, 3, 5, 5]\n ]\n}\n----\n\nWork around this limitation by converting the field to single value with one of:\n\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n* <>\n\n[source,console,esql-multivalued-fields-mv-into-null]\n----\nPOST /_query\n{\n \"query\": \"FROM mv | EVAL b=MV_MIN(b) | EVAL b + 2, a + b | LIMIT 4\"\n}\n----\n// TEST[continued]\n\n[source,console-result]\n----\n{\n \"columns\": [\n { \"name\": \"a\", \"type\": \"long\"},\n { \"name\": \"b\", \"type\": \"long\"},\n { \"name\": \"b+2\", \"type\": \"long\"},\n { \"name\": \"a+b\", \"type\": \"long\"}\n ],\n \"values\": [\n [1, 1, 3, 2],\n [2, 3, 5, 5]\n ]\n}\n----\n\n"
+ }
+ },
+ {
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+ "_id": "aee92a13-59f5-4029-9882-78cae67885ff",
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+ "_source": {
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+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/processing_commands/dissect.asciidoc"
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+ "header": 0.9765351,
+ "retrieve": 0.49689215,
+ "dash": 0.024193298,
+ "code": 0.18344025,
+ "differentiation": 0.15786491,
+ "keys": 1.2279391,
+ "bot": 0.24622665,
+ "cad": 0.3256793,
+ "exile": 0.31523085,
+ "technique": 0.18784073,
+ "gil": 0.15150079,
+ "sql": 0.49800426,
+ "database": 0.34428194,
+ "##lib": 0.12526064,
+ "keyboard": 0.45176044,
+ "match": 0.5941334,
+ "command": 0.49733657,
+ "probe": 0.017676907,
+ "serial": 0.3825083
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-dissect]]\n=== `DISSECT`\n\n`DISSECT` enables you to extract structured data out of a string. `DISSECT`\nmatches the string against a delimiter-based pattern, and extracts the specified\nkeys as columns.\n\nRefer to the <> for the\nsyntax of dissect patterns.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/dissect.csv-spec[tag=dissect]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/dissect.csv-spec[tag=dissect-result]\n|===\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "59a4f826-85da-4292-aed1-b0a142a13a67",
+ "_score": 1.0,
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+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/processing_commands/drop.asciidoc"
+ },
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+ "dice": 0.59145194,
+ "replace": 0.093330994,
+ "section": 0.00976677,
+ "forensic": 0.4694998,
+ "spec": 1.6633162,
+ "protocol": 0.010828662,
+ "split": 0.03353603,
+ "tab": 0.7487035,
+ "brendan": 0.012145139,
+ "continuous": 0.8504835,
+ "lap": 0.36778006,
+ "html": 0.27564344,
+ "tag": 0.80871075,
+ "buffer": 0.25790274,
+ "all": 0.4953173,
+ "including": 0.41966206,
+ "format": 0.5791516,
+ "archive": 0.5631846,
+ "sort": 0.4224669,
+ "tool": 0.080039114,
+ "tutor": 0.11433104,
+ "core": 0.37930426,
+ "jamie": 0.28071734,
+ "sequence": 6.5615104E-4,
+ "disk": 0.0031087901,
+ "lists": 0.39749664,
+ "files": 0.15241013,
+ "##words": 0.026696784,
+ "##ada": 0.17077976,
+ "differentiation": 0.08783358,
+ "code": 0.009636551,
+ "bot": 0.25637367,
+ "cad": 0.41963533,
+ "technique": 0.04771541,
+ "gil": 0.3283472,
+ "storage": 0.28262842,
+ "error": 0.02747078,
+ "sql": 0.6716283,
+ "database": 0.6005915,
+ "synonym": 0.31156725,
+ "##cards": 1.006751,
+ "define": 0.22410135,
+ "sheet": 0.33525732,
+ "row": 0.21913755,
+ "##lib": 0.19374047,
+ "said": 0.19921352,
+ "included": 0.3320341,
+ "keyboard": 0.05047715,
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+ "control": 0.31130394,
+ "rows": 0.19347723,
+ "command": 0.7074671,
+ "serial": 0.27192935,
+ "wild": 1.4881867
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-drop]]\n=== `DROP`\n\nUse `DROP` to remove columns:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=dropheight]\n----\n\nRather than specify each column by name, you can use wildcards to drop all\ncolumns with a name that matches a pattern:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=dropheightwithwildcard]\n----\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "d391cdbd-7fde-45b4-8668-9a91889608d8",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
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+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/processing_commands/enrich.asciidoc"
+ },
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+ "string": 0.07476091,
+ "records": 0.80100894,
+ "student": 0.2113413,
+ "cad": 0.39299226,
+ "policies": 0.93316925,
+ "rule": 0.369671,
+ "description": 0.34122825,
+ "gil": 0.23525633,
+ "interface": 0.095434494,
+ "sql": 0.61716163,
+ "sid": 0.50934637,
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+ "marriage": 0.034291394,
+ "parameter": 0.6496273,
+ "define": 0.18364692,
+ "##lib": 0.18560717,
+ "lang": 0.17530371,
+ "class": 0.522914,
+ "value": 0.27286443,
+ "on": 0.844496,
+ "##rich": 2.0062175,
+ "execution": 0.82149076,
+ "center": 0.93703645,
+ "custom": 0.35434142,
+ "implementation": 0.038827322,
+ "match": 1.7946665,
+ "existing": 0.88287944,
+ "with": 0.6593195,
+ "management": 0.24030745,
+ "inherited": 0.056240126,
+ "syntax": 1.382749,
+ "pub": 0.25220412,
+ "strategy": 0.08338214,
+ "assign": 0.15628953
+ },
+ "is_truncated": true,
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-enrich]]\n=== `ENRICH`\n\n**Syntax**\n\n[source,txt]\n----\nENRICH policy [ON match_field] [WITH [new_name1 = ]field1, [new_name2 = ]field2, ...]\n----\n\n*Parameters*\n\n`policy`::\nThe name of the enrich policy. You need to <>\nand <> the enrich policy first.\n\n`ON match_field`::\nThe match field. `ENRICH` uses its value to look for records in the enrich\nindex. If not specified, the match will be performed on the column with the same\nname as the `match_field` defined in the <>.\n\n`WITH fieldX`::\nThe enrich fields from the enrich index that are added to the result as new\ncolumns. If a column with the same name as the enrich field already exists, the\nexisting column will be replaced by the new column. If not specified, each of\nthe enrich fields defined in the policy is added\n\n`new_nameX =`::\nEnables you to change the name of the column that's added for each of the enrich\nfields. Defaults to the enrich field name.\n\n*Description*\n\n`ENRICH` enables you to add data from existing indices as new columns using an\nenrich policy. Refer to <> for information about setting up a\npolicy.\n\nimage::images/esql/esql-enrich.png[align=\"center\"]\n\nTIP: Before you can use `ENRICH`, you need to <>.\n\n*Examples*\n\n// tag::examples[]\nThe following example uses the `languages_policy` enrich policy to add a new\ncolumn for each enrich field defined in the policy. The match is performed using\nthe `match_field` defined in the <> and\nrequires that the input table has a column with the same name (`language_code`\nin this example). `ENRICH` will look for records in the\n<> based on the match field value. \n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs-ignoreCsvTests.csv-spec[tag=enrich]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs-ignoreCsvTests.csv-spec[tag=enrich-result]\n|===\n\nTo use a column with a different name than the `match_field` defined in the\npolicy as the match field, use `ON `:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs-ignoreCsvTests.csv-spec[tag=enrich_on]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs-ignoreCsvTests.csv-spec[tag=enrich_on-result]\n|===\n\nBy default, each of the enrich fields defined in the policy is added as a\ncolumn. To explicitly select the enrich fields that are added, use \n`WITH , ...`:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs-ignoreCsvTests.csv-spec[tag=enrich_with]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs-ignoreCsvTests.csv-spec[tag=enrich_with-result]\n|===\n\nYou can rename the columns that are added using `WITH new_name=`:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs-ignoreCsvTests.csv-spec[tag=enrich_rename]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs-ignoreCsvTests.csv-spec[tag=enrich_rename-result]\n|===\n\nIn case of name collisions, the newly created columns will override existing\ncolumns.\n// end::examples[]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "efb6ed14-89fa-4679-9773-36de74b27b9a",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/processing_commands/eval.asciidoc"
+ },
+ "vector": {
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+ "command": 0.123849675,
+ "serial": 0.5838241,
+ "##lr": 0.77575976
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-eval]]\n=== `EVAL`\n`EVAL` enables you to append new columns:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=eval]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=eval-result]\n|===\n\nIf the specified column already exists, the existing column will be dropped, and\nthe new column will be appended to the table:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=evalReplace]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=evalReplace-result]\n|===\n\n[discrete]\n==== Functions\n`EVAL` supports various functions for calculating values. Refer to\n<> for more information.\n"
+ }
+ },
+ {
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+ "puppet": 0.0750497,
+ "serial": 0.4445872
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-grok]]\n=== `GROK`\n\n`GROK` enables you to extract structured data out of a string. `GROK` matches\nthe string against patterns, based on regular expressions, and extracts the\nspecified patterns as columns.\n\nRefer to the <> for the syntax for\nof grok patterns.\n\nFor example:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/grok.csv-spec[tag=grok]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/grok.csv-spec[tag=grok-result]\n|===\n"
+ }
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+ "percent": 0.05038285,
+ "sql": 0.6546432,
+ "database": 0.6081517,
+ "array": 0.107467845,
+ "##cards": 0.90588003,
+ "define": 0.48280954,
+ "row": 0.11300837,
+ "##lib": 0.051601887,
+ "included": 0.09413226,
+ "direction": 0.5902886,
+ "##isk": 0.28530848,
+ "##ma": 1.0100708,
+ "determine": 0.17994075,
+ "limited": 0.776257,
+ "match": 0.6207036,
+ "control": 0.16422196,
+ "specific": 0.030980982,
+ "command": 1.3493129,
+ "serial": 0.5272896,
+ "arguments": 0.18122527,
+ "wild": 1.5474871
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-keep]]\n=== `KEEP`\n\nThe `KEEP` command enables you to specify what columns are returned and the\norder in which they are returned.\n\nTo limit the columns that are returned, use a comma-separated list of column\nnames. The columns are returned in the specified order:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=keep]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=keep-result]\n|===\n\nRather than specify each column by name, you can use wildcards to return all\ncolumns with a name that matches a pattern:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=keepWildcard]\n----\n\nThe asterisk wildcard (`*`) by itself translates to all columns that do not\nmatch the other arguments. This query will first return all columns with a name\nthat starts with an h, followed by all other columns:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=keepDoubleWildcard]\n----\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "443cfa24-a109-49e3-8e05-91541ecd2ad6",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/processing_commands/limit.asciidoc"
+ },
+ "vector": {
+ "tokens": {
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+ "expand": 0.4150217,
+ "fields": 0.33722082,
+ "decimal": 0.17545056,
+ "dash": 0.13882077,
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+ "que": 0.67864573,
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+ "limitation": 0.47298813,
+ "import": 0.088904664,
+ "bot": 0.10624916,
+ "cad": 0.13899122,
+ "link": 0.076160185,
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+ "inventory": 0.08479153,
+ "error": 0.0058121723,
+ "percent": 0.29286516,
+ "sid": 1.00472,
+ "sql": 0.88613564,
+ "button": 0.049580447,
+ "database": 0.6710806,
+ "total": 0.3512418,
+ "not": 0.1903517,
+ "security": 0.0230331,
+ "linux": 0.33673257,
+ "sorting": 0.25592503,
+ "define": 0.062476847,
+ "row": 1.1265948,
+ "##lib": 0.22906414,
+ "lang": 0.059562225,
+ "value": 0.7516543,
+ "class": 0.4364631,
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+ "process": 0.5530328,
+ "limited": 0.91338086,
+ "multiple": 0.5024031,
+ "length": 0.14708692,
+ "specification": 0.8308728,
+ "control": 0.30452976,
+ "rows": 1.2932835,
+ "command": 1.3776095,
+ "consecutive": 0.30028474,
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+ "500": 1.589005,
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+ "restricted": 0.6005065,
+ "syntax": 0.69496083,
+ "window": 0.047883265,
+ "pub": 0.4043511
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-limit]]\n=== `LIMIT`\n\nThe `LIMIT` processing command enables you to limit the number of rows:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=limit]\n----\n\nIf not specified, `LIMIT` defaults to `500`. A single query will not return\nmore than 10,000 rows, regardless of the `LIMIT` value.\n"
+ }
+ },
+ {
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+ "_id": "7469fa25-2b61-43a4-9827-a6f24ee01d88",
+ "_score": 1.0,
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+ "text.keyword"
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+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/processing_commands/mv_expand.asciidoc"
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+ "simple": 1.2673382,
+ "spec": 1.4780085,
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+ "mc": 0.1353462,
+ "continuous": 0.7715747,
+ "limit": 0.56938875,
+ "html": 0.23212165,
+ "tag": 0.89406043,
+ "buffer": 0.3057913,
+ "combine": 0.57976115,
+ "mp": 0.6768034,
+ "including": 0.44954973,
+ "mr": 0.14113748,
+ "format": 1.0467892,
+ "mv": 2.1500943,
+ "archive": 0.36487898,
+ "sort": 0.14675078,
+ "interrupted": 0.061013646,
+ "tool": 0.35633078,
+ "expansion": 1.2591509,
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+ "synth": 0.121641144,
+ "jamie": 0.044881735,
+ "expand": 1.7647634,
+ "unit": 0.20817159,
+ "header": 1.0393194,
+ "files": 0.1563921,
+ "option": 0.114516355,
+ "scala": 0.005561356,
+ "bot": 0.2755618,
+ "blend": 0.22221978,
+ "cad": 0.34836927,
+ "values": 0.22511038,
+ "technique": 0.086250015,
+ "percent": 0.08517017,
+ "sql": 0.08523203,
+ "database": 0.32280082,
+ "total": 0.1805666,
+ "array": 0.23705383,
+ "define": 0.015508412,
+ "##ica": 0.64710754,
+ "alias": 0.11589616,
+ "row": 1.2833264,
+ "##lib": 0.039864887,
+ "value": 0.93680865,
+ "included": 0.13636012,
+ "process": 0.6119544,
+ "limited": 0.07952476,
+ "zoom": 0.40599093,
+ "control": 0.24347158,
+ "rows": 0.8874521,
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+ "command": 1.3112562,
+ "consecutive": 0.3626658,
+ "processed": 0.58532614,
+ "serial": 0.5504051,
+ "further": 0.31690305,
+ "collapse": 0.51919526
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-mv_expand]]\n=== `MV_EXPAND`\n\nThe `MV_EXPAND` processing command expands multivalued fields into one row per value, duplicating other fields:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/mv_expand.csv-spec[tag=simple]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/mv_expand.csv-spec[tag=simple-result]\n|===\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "9a45764d-f0f1-43c4-9753-264ddac88061",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/processing_commands/rename.asciidoc"
+ },
+ "vector": {
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+ "nickname": 0.49584028,
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+ "copy": 0.48989812,
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+ "##ip": 0.7834969,
+ "create": 0.0629303,
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+ "html": 0.104574904,
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+ "archive": 0.40896866,
+ "sort": 0.21551527,
+ "replacing": 0.13915989,
+ "duplicate": 0.084327616,
+ "sha": 0.28576866,
+ "tool": 0.0014860312,
+ "revision": 0.16759233,
+ "discrete": 1.9465406,
+ "core": 0.35444078,
+ "jamie": 0.29105642,
+ "sequence": 0.14984156,
+ "disk": 0.15950449,
+ "name": 0.91972846,
+ "files": 0.058926538,
+ "fields": 0.1362066,
+ "replacement": 0.31608886,
+ "changed": 0.1648832,
+ "##ada": 0.13638395,
+ "differentiation": 0.27165756,
+ "code": 0.1271501,
+ "import": 0.29199257,
+ "sources": 0.22396109,
+ "bot": 0.27400187,
+ "cad": 0.3829245,
+ "changes": 0.17379466,
+ "##le": 0.764567,
+ "gil": 0.366532,
+ "storage": 0.16024055,
+ "interface": 0.2005155,
+ "inventory": 0.024859352,
+ "remove": 0.19263703,
+ "redundant": 0.14800975,
+ "sid": 0.8477439,
+ "sql": 0.56034535,
+ "button": 0.059007116,
+ "database": 0.6493694,
+ "synonym": 0.25815,
+ "##zone": 0.02300642,
+ "alias": 0.33263108,
+ "sheet": 0.18133147,
+ "row": 0.2453498,
+ "##lib": 0.043524485,
+ "said": 0.13355553,
+ "included": 0.30496183,
+ "class": 0.25668588,
+ "##col": 0.90813434,
+ "digital": 0.0076953154,
+ "previous": 0.26754683,
+ "citation": 0.10762618,
+ "custom": 0.21414283,
+ "multiple": 0.79123616,
+ "##um": 0.77667594,
+ "specification": 0.72496086,
+ "control": 0.20476054,
+ "label": 0.050255887,
+ "command": 1.123696,
+ "editing": 0.03343735,
+ "existing": 0.31321198,
+ "serial": 0.41764802,
+ "##lt": 0.9554923,
+ "colon": 0.2367689,
+ "clone": 0.025527287,
+ "syntax": 1.3757224,
+ "step": 0.08697852,
+ "pub": 0.17468858,
+ "renamed": 0.9781751
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-rename]]\n=== `RENAME`\n\nUse `RENAME` to rename a column using the following syntax:\n\n[source,esql]\n----\nRENAME AS \n----\n\nFor example:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=rename]\n----\n\nIf a column with the new name already exists, it will be replaced by the new\ncolumn.\n\nMultiple columns can be renamed with a single `RENAME` command:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=renameMultipleColumns]\n----\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "8707f4ac-6d69-46c1-884c-df9b3f3da1f2",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/processing_commands/sort.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "##breaker": 0.7748497,
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+ "order": 1.2679188,
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+ "ordering": 0.65452874,
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+ "students": 9.029602E-4,
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+ "cloud": 0.019194923,
+ "tie": 1.5212679,
+ "barr": 0.22678073,
+ "apache": 0.30323455,
+ "tab": 0.4221139,
+ "continuous": 0.8311949,
+ "create": 0.06309103,
+ "html": 0.36229852,
+ "implement": 0.35533443,
+ "lap": 0.050287176,
+ "breakers": 1.0976702,
+ "tag": 0.70655036,
+ "buffer": 0.12191481,
+ "commands": 0.0813496,
+ "ed": 0.5772948,
+ "treated": 0.23003352,
+ "chess": 0.22287686,
+ "eh": 0.16466856,
+ "last": 0.041380614,
+ "level": 0.02080475,
+ "query": 0.081677474,
+ "format": 0.6072912,
+ "batch": 0.28261018,
+ "eric": 0.14510973,
+ "archive": 0.40694523,
+ "sort": 1.8630756,
+ "expressions": 0.5166809,
+ "sha": 0.33345518,
+ "tool": 0.15685606,
+ "tutor": 0.39414218,
+ "discrete": 1.8728067,
+ "sequence": 0.41954303,
+ "core": 0.2176968,
+ "jamie": 0.20597634,
+ "null": 1.1862127,
+ "files": 0.035707813,
+ "fields": 1.2751814,
+ "import": 0.27829552,
+ "student": 0.021514485,
+ "keys": 0.43845755,
+ "bot": 0.112831935,
+ "cad": 0.4867461,
+ "values": 0.47827074,
+ "additional": 0.07375772,
+ "gil": 0.15803927,
+ "interface": 0.32831302,
+ "inventory": 0.26267466,
+ "##tie": 1.2770468,
+ "sql": 0.57953185,
+ "sid": 0.5399534,
+ "button": 0.029413745,
+ "database": 0.5298848,
+ "array": 0.0312723,
+ "sorting": 1.0810521,
+ "sheet": 0.2409598,
+ "row": 0.8489526,
+ "##lib": 0.12480986,
+ "said": 0.034715895,
+ "class": 0.50374013,
+ "value": 0.50338084,
+ "direction": 0.21487957,
+ "digital": 0.20933674,
+ "multiple": 0.45674342,
+ "length": 0.05285076,
+ "specification": 0.6826871,
+ "control": 0.16410573,
+ "rows": 0.9881161,
+ "command": 1.1340616,
+ "##ec": 0.031451367,
+ "equal": 1.0440563,
+ "##ll": 0.8429562,
+ "serial": 0.28026292,
+ "management": 0.027527262,
+ "syntax": 0.69180626,
+ "step": 0.017263737,
+ "pub": 0.29449925
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-sort]]\n=== `SORT`\nUse the `SORT` command to sort rows on one or more fields:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=sort]\n----\n\nThe default sort order is ascending. Set an explicit sort order using `ASC` or\n`DESC`:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=sortDesc]\n----\n\nTwo rows with the same sort key are considered equal. You can provide additional\nsort expressions to act as tie breakers:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=sortTie]\n----\n\n[discrete]\n==== `null` values\nBy default, `null` values are treated as being larger than any other value. With\nan ascending sort order, `null` values are sorted last, and with a descending\nsort order, `null` values are sorted first. You can change that by providing\n`NULLS FIRST` or `NULLS LAST`:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=sortNullsFirst]\n----\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "b7de66ea-5aa1-45e8-98a7-5ee31b9760b5",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/processing_commands/stats.asciidoc"
+ },
+ "vector": {
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+ "excel": 0.79683447,
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+ "organized": 0.2690848,
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+ "statistics": 1.2191104,
+ "checkpoint": 0.2550559,
+ "esq": 1.8608004,
+ "panda": 0.07483369,
+ "data": 0.883478,
+ "use": 0.16012883,
+ "dice": 0.23107037,
+ "spec": 1.5207506,
+ "space": 0.45973313,
+ "tab": 0.5199376,
+ "function": 0.8984785,
+ "continuous": 0.8336567,
+ "##ip": 0.628176,
+ "poole": 0.007409236,
+ "html": 0.39986834,
+ "lap": 0.1163047,
+ "dax": 0.05792714,
+ "tag": 0.78085685,
+ "buffer": 0.26368952,
+ "group": 1.3582047,
+ "##ult": 0.8143202,
+ "including": 0.231061,
+ "format": 1.1147479,
+ "##ido": 1.3445141,
+ "archive": 0.18875535,
+ "sort": 0.22925581,
+ "tool": 0.022623302,
+ "sequence": 0.40340233,
+ "jamie": 0.37526858,
+ "core": 0.25460717,
+ "unit": 0.11282235,
+ "lists": 0.3212293,
+ "##ida": 0.2813049,
+ "header": 0.81062585,
+ "files": 0.068315804,
+ "##ada": 0.18470116,
+ "differentiation": 0.099527486,
+ "values": 0.8965736,
+ "cad": 0.3818054,
+ "according": 0.3650853,
+ "mixed": 0.14220531,
+ "gil": 0.22094426,
+ "aggregate": 1.3346772,
+ "sql": 0.65864426,
+ "can": 0.08510317,
+ "database": 0.5850817,
+ "predict": 0.0011773328,
+ "sheet": 0.1374628,
+ "row": 1.1061741,
+ "##lib": 0.16130443,
+ "value": 0.79536164,
+ "included": 0.14216746,
+ "__": 0.30862996,
+ "equation": 0.41415945,
+ "groups": 0.8703368,
+ "harold": 0.019843396,
+ "rows": 1.0777535,
+ "families": 0.3806745,
+ "command": 0.039947018,
+ "serial": 0.38153136,
+ "##lt": 0.6179069,
+ "##set": 1.0045462
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-stats-by]]\n=== `STATS ... BY`\nUse `STATS ... BY` to group rows according to a common value and calculate one\nor more aggregated values over the grouped rows.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=stats]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=stats-result]\n|===\n\nIf `BY` is omitted, the output table contains exactly one row with the\naggregations applied over the entire dataset:\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=statsWithoutBy]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/docs.csv-spec[tag=statsWithoutBy-result]\n|===\n\nIt's possible to calculate multiple values:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=statsCalcMultipleValues]\n----\n\nIt's also possible to group by multiple values (only supported for long and\nkeyword family fields):\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=statsGroupByMultipleValues]\n----\n\nThe following aggregation functions are supported:\n\ninclude::../functions/aggregation-functions.asciidoc[tag=agg_list]\n"
+ }
+ },
+ {
+ "_index": ".kibana-elastic-ai-assistant-kb",
+ "_id": "a1af79c2-086d-449c-9030-bd9fa5e0c59d",
+ "_score": 1.0,
+ "_ignored": [
+ "text.keyword"
+ ],
+ "_source": {
+ "metadata": {
+ "source": "/kibana-main/x-pack/plugins/elastic_assistant/server/knowledge_base/esql/documentation/processing_commands/where.asciidoc"
+ },
+ "vector": {
+ "tokens": {
+ "cluster": 0.16856654,
+ "##d": 0.9793579,
+ "functions": 0.6111629,
+ "##nction": 0.54312146,
+ "fin": 0.06350505,
+ "##l": 1.4525478,
+ "evaluation": 0.07894384,
+ "java": 1.0869464,
+ "##v": 1.1468164,
+ "notation": 0.4121964,
+ "jan": 0.0011156532,
+ "understanding": 0.13589852,
+ "hired": 1.5637088,
+ "calculate": 0.52987653,
+ "api": 0.004968558,
+ "##lean": 1.2143668,
+ "using": 0.2643245,
+ "tex": 0.089038156,
+ "'": 0.5333149,
+ "league": 0.11906417,
+ "analysis": 0.33654714,
+ "-": 0.16115518,
+ "##ol": 0.09141151,
+ "tags": 0.4175054,
+ "input": 1.0801917,
+ "contains": 0.22575112,
+ "as": 0.01084411,
+ "##ole": 1.4307044,
+ "calculations": 0.014133126,
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+ "serial": 0.2711596
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-where]]\n=== `WHERE`\n\nUse `WHERE` to produce a table that contains all the rows from the input table\nfor which the provided condition evaluates to `true`:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=where]\n----\n\nWhich, if `still_hired` is a boolean field, can be simplified to:\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=whereBoolean]\n----\n\n[discrete]\n==== Operators\n\nRefer to <> for an overview of the supported operators.\n\n[discrete]\n==== Functions\n`WHERE` supports various functions for calculating values. Refer to\n<> for more information.\n\n[source,esql]\n----\ninclude::{esql-specs}/docs.csv-spec[tag=whereFunction]\n----\n"
+ }
+ },
+ {
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+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-from]]\n=== `FROM`\n\nThe `FROM` source command returns a table with up to 10,000 documents from a\ndata stream, index, or alias. Each row in the resulting table represents a\ndocument. Each column corresponds to a field, and can be accessed by the name\nof that field.\n\n[source,esql]\n----\nFROM employees\n----\n\nYou can use <> to refer to indices, aliases\nand data streams. This can be useful for time series data, for example to access\ntoday's index:\n\n[source,esql]\n----\nFROM \n----\n\nUse comma-separated lists or wildcards to query multiple data streams, indices,\nor aliases:\n\n[source,esql]\n----\nFROM employees-00001,other-employees-*\n----\n\nUse the `METADATA` directive to enable <>:\n\n[source,esql]\n----\nFROM employees [METADATA _id]\n----\n"
+ }
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+ "row": 2.1486108,
+ "##lib": 0.09326237,
+ "said": 0.003351193,
+ "value": 0.8166037,
+ "included": 0.12806906,
+ "control": 0.06360775,
+ "rows": 1.0968384,
+ "command": 1.3242794,
+ "serial": 0.6654321,
+ "compilation": 0.029469537
+ },
+ "model_id": ".elser_model_2"
+ },
+ "text": "[discrete]\n[[esql-row]]\n=== `ROW`\n\nThe `ROW` source command produces a row with one or more columns with values\nthat you specify. This can be useful for testing.\n\n[source.merge.styled,esql]\n----\ninclude::{esql-specs}/row.csv-spec[tag=example]\n----\n[%header.monospaced.styled,format=dsv,separator=|]\n|===\ninclude::{esql-specs}/row.csv-spec[tag=example-result]\n|===\n\nUse square brackets to create multi-value columns:\n\n[source,esql]\n----\ninclude::{esql-specs}/row.csv-spec[tag=multivalue]\n----\n\n`ROW` supports the use of <