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[Azure Cognitive Search] New API version 2023-10-01-Preview (#25657)
* Initial commit (copy from 07-01 and rename to 10-01) * Add new IndexProjections feature definition * New SplitSkill parameters * New AzureOpenAIEmbeddingSkill * Miscellaneous existing features that were missing from swagger * Breaking changes to VectorSearch and new Vectorizer option * Add filterType and exhaustive KNN options to vector search. * Fix build errors and update README * Move filter type outside of vector object, and remove single vector query option * Add filterType and exhaustive KNN to 2023-07-01-Preview API * Revert "Add filterType and exhaustive KNN to 2023-07-01-Preview API" This reverts commit 56a0bbd64556a08b29d941406e56db83519ff1c0. * Respond to feedback * Add semanticQuery search parameter * Update default for semanticErrorHandling * Remove AML vectorizer * Update descriptions per feedback
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@@ -3739,4 +3739,5 @@ vnetblock | |
usedCPUMHz | ||
totalCPUMHz | ||
docon | ||
DialOut | ||
DialOut | ||
vectorizers |
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...Azure.Search/preview/2023-10-01-Preview/examples/SearchIndexAutocompleteDocumentsGet.json
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{ | ||
"parameters": { | ||
"endpoint": "https://myservice.search.windows.net", | ||
"indexName": "myindex", | ||
"api-version": "2023-10-01-Preview", | ||
"autocompleteMode": "oneTerm", | ||
"search": "washington medic", | ||
"suggesterName": "sg", | ||
"filter": "search.in(docId,'101,102,105')", | ||
"fuzzy": false, | ||
"highlightPostTag": "</em>", | ||
"highlightPreTag": "<em>", | ||
"minimumCoverage": 80, | ||
"searchFields": [ | ||
"title", | ||
"description" | ||
], | ||
"top": 10 | ||
}, | ||
"responses": { | ||
"200": { | ||
"body": [ | ||
{ | ||
"text": "medicaid", | ||
"queryPlusText": "washington medicaid" | ||
}, | ||
{ | ||
"text": "medicare", | ||
"queryPlusText": "washington medicare" | ||
}, | ||
{ | ||
"text": "medicine", | ||
"queryPlusText": "washington medicine" | ||
} | ||
] | ||
} | ||
} | ||
} |
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...zure.Search/preview/2023-10-01-Preview/examples/SearchIndexAutocompleteDocumentsPost.json
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{ | ||
"parameters": { | ||
"endpoint": "https://myservice.search.windows.net", | ||
"indexName": "myindex", | ||
"api-version": "2023-10-01-Preview", | ||
"autocompleteRequest": { | ||
"autocompleteMode": "oneTerm", | ||
"search": "washington medic", | ||
"suggesterName": "sg", | ||
"filter": "search.in(docId,'101,102,105')", | ||
"highlightPostTag": "</em>", | ||
"highlightPreTag": "<em>", | ||
"minimumCoverage": 80, | ||
"searchFields": "title,description", | ||
"top": 10 | ||
} | ||
}, | ||
"responses": { | ||
"200": { | ||
"body": [ | ||
{ | ||
"text": "medicaid", | ||
"queryPlusText": "washington medicaid" | ||
}, | ||
{ | ||
"text": "medicare", | ||
"queryPlusText": "washington medicare" | ||
}, | ||
{ | ||
"text": "medicine", | ||
"queryPlusText": "washington medicine" | ||
} | ||
] | ||
} | ||
} | ||
} |
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...ata-plane/Azure.Search/preview/2023-10-01-Preview/examples/SearchIndexCountDocuments.json
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{ | ||
"parameters": { | ||
"endpoint": "https://myservice.search.windows.net", | ||
"indexName": "myindex", | ||
"api-version": "2023-10-01-Preview" | ||
}, | ||
"responses": { | ||
"200": { | ||
"body": 427 | ||
} | ||
} | ||
} |
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...h/data-plane/Azure.Search/preview/2023-10-01-Preview/examples/SearchIndexGetDocument.json
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{ | ||
"parameters": { | ||
"endpoint": "https://myservice.search.windows.net", | ||
"indexName": "myindex", | ||
"api-version": "2023-10-01-Preview", | ||
"key": "1", | ||
"$select": [ | ||
"docId", | ||
"title", | ||
"description" | ||
] | ||
}, | ||
"responses": { | ||
"200": { | ||
"body": { | ||
"description": "Cheapest hotel in town", | ||
"docId": "1", | ||
"title": "Nice Hotel" | ||
} | ||
} | ||
} | ||
} |
93 changes: 93 additions & 0 deletions
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...ata-plane/Azure.Search/preview/2023-10-01-Preview/examples/SearchIndexIndexDocuments.json
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{ | ||
"parameters": { | ||
"endpoint": "https://myservice.search.windows.net", | ||
"indexName": "myindex", | ||
"api-version": "2023-10-01-Preview", | ||
"batch": { | ||
"value": [ | ||
{ | ||
"@search.action": "upload", | ||
"docId": "1", | ||
"title": "Fancy Stay", | ||
"description": "Best hotel in town" | ||
}, | ||
{ | ||
"@search.action": "merge", | ||
"docId": "2", | ||
"title": "Roach Motel" | ||
}, | ||
{ | ||
"@search.action": "mergeOrUpload", | ||
"docId": "3", | ||
"title": "Econo Motel" | ||
}, | ||
{ | ||
"@search.action": "delete", | ||
"docId": "4" | ||
} | ||
] | ||
} | ||
}, | ||
"responses": { | ||
"200": { | ||
"body": { | ||
"value": [ | ||
{ | ||
"key": "1", | ||
"status": true, | ||
"errorMessage": null, | ||
"statusCode": 201 | ||
}, | ||
{ | ||
"key": "2", | ||
"status": true, | ||
"errorMessage": null, | ||
"statusCode": 200 | ||
}, | ||
{ | ||
"key": "3", | ||
"status": true, | ||
"errorMessage": null, | ||
"statusCode": 200 | ||
}, | ||
{ | ||
"key": "4", | ||
"status": true, | ||
"errorMessage": null, | ||
"statusCode": 200 | ||
} | ||
] | ||
} | ||
}, | ||
"207": { | ||
"body": { | ||
"value": [ | ||
{ | ||
"key": "1", | ||
"status": true, | ||
"errorMessage": null, | ||
"statusCode": 200 | ||
}, | ||
{ | ||
"key": "2", | ||
"status": false, | ||
"errorMessage": "Document not found.", | ||
"statusCode": 404 | ||
}, | ||
{ | ||
"key": "3", | ||
"status": true, | ||
"errorMessage": null, | ||
"statusCode": 200 | ||
}, | ||
{ | ||
"key": "4", | ||
"status": true, | ||
"errorMessage": null, | ||
"statusCode": 200 | ||
} | ||
] | ||
} | ||
} | ||
} | ||
} |
86 changes: 86 additions & 0 deletions
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...plane/Azure.Search/preview/2023-10-01-Preview/examples/SearchIndexSearchDocumentsGet.json
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{ | ||
"parameters": { | ||
"endpoint": "https://myservice.search.windows.net", | ||
"indexName": "myindex", | ||
"api-version": "2023-10-01-Preview", | ||
"$count": true, | ||
"facet": [ | ||
"category,count:10,sort:count" | ||
], | ||
"$filter": "rating gt 10", | ||
"highlight": [ | ||
"title" | ||
], | ||
"highlightPostTag": "</em>", | ||
"highlightPreTag": "<em>", | ||
"minimumCoverage": 80, | ||
"$orderby": [ | ||
"search.score() desc", | ||
"rating desc" | ||
], | ||
"queryType": "simple", | ||
"sessionId": "mysessionid", | ||
"scoringStatistics": "global", | ||
"scoringParameters": [ | ||
"currentLocation--122.123,44.77233" | ||
], | ||
"scoringProfile": "sp", | ||
"search": "nice hotels", | ||
"searchFields": [ | ||
"title", | ||
"description" | ||
], | ||
"searchMode": "any", | ||
"$select": [ | ||
"docId", | ||
"title", | ||
"description" | ||
], | ||
"$skip": 100, | ||
"$top": 10 | ||
}, | ||
"responses": { | ||
"200": { | ||
"body": { | ||
"@odata.count": 25, | ||
"@search.coverage": 80, | ||
"@search.facets": { | ||
"category": [ | ||
{ | ||
"count": 1, | ||
"value": "Economy" | ||
}, | ||
{ | ||
"count": 1, | ||
"value": "Luxury" | ||
} | ||
] | ||
}, | ||
"value": [ | ||
{ | ||
"@search.score": 1.50, | ||
"@search.highlights": { | ||
"title": [ | ||
"<em>Nice</em> <em>Hotel</em>" | ||
] | ||
}, | ||
"description": "Cheapest hotel in town", | ||
"docId": "1", | ||
"title": "Nice Hotel" | ||
}, | ||
{ | ||
"@search.score": 0.70, | ||
"@search.highlights": { | ||
"title": [ | ||
"Fancy <em>Hotel</em>" | ||
] | ||
}, | ||
"description": "Best hotel in town", | ||
"docId": "2", | ||
"title": "Fancy Hotel" | ||
} | ||
] | ||
} | ||
} | ||
} | ||
} |
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