DOC-12464 Incorporate Vector Search in the Vector Index section (#443)

* Rename Vector Indexes top-level topic
* Rename Choose the Right Vector Index topic
* An Search Vector → a Search Vector
* Make vector index topic names consistent
* Simplify xrefs in nav

Author: simon-dew

modules/vector-index/pages/composite-vector-index.adoc

@@ -1,4 +1,4 @@
-= Filtered Searches Using Composite Vector Index
+= Filtered Search Using Composite Vector Indexes
 :page-topic-type: guide
 :page-ui-name: {ui-name}
 :page-product-name: {product-name}

modules/vector-index/pages/hyperscale-vector-index.adoc

@@ -1,4 +1,4 @@
-= Vector Searches Using Hyperscale Vector Indexes
+= Vector Search Using Hyperscale Vector Indexes
 :page-topic-type: guide
 :page-ui-name: {ui-name}
 :page-product-name: {product-name}

modules/vector-index/pages/use-vector-indexes.adoc

@@ -1,4 +1,4 @@
-= Use Vector Indexes for AI Applications
+= Choose the Right Vector Index
 :page-topic-type: concept
 :page-ui-name: {ui-name}
 :page-product-name: {product-name}
@@ -142,7 +142,7 @@ When choosing which type of index to use, consider the following:
 
 * In most cases, test using a Hyperscale Vector index.
 If you find that the performance is not what you need, you can try using one of the other index types.
-* If your dataset will not grow beyond 100 million documents and you need to perform hybrid searches that combine vector searches with Full-Text Search or geospatial searches, use an Search Vector Index.
+* If your dataset will not grow beyond 100 million documents and you need to perform hybrid searches that combine vector searches with other Search Service features, such as text or geospatial search, use a Search Vector Index.
 
 == Applications for Vector Indexes
 
@@ -256,14 +256,14 @@ Users often want to search for hotels using multiple criteria:
 * Semantic searches of descriptions and reviews for searches that do not rely on literal text matches, such as "modern beach resort with chic décor," which requires vector searches.
 
 +
-An Search Vector Index can combine geospatial, keyword, and semantic searches into a single index.
+A Search Vector Index can combine geospatial, keyword, and semantic searches into a single index.
 
 Real estate searches::
 Real estate applications can use Search Vector Indexes to find properties within a search region and have floor plan similar to an uploaded image.
 
 === Search Vector Index Application Workflow
 
-To create and use an Search Vector Index, your application follows the workflow shown in the following diagram:
+To create and use a Search Vector Index, your application follows the workflow shown in the following diagram:
 
 .Application Workflow with Search Vector Indexes
 [plantuml,fts-app-workflow,svg]

modules/vector-index/pages/vectors-and-indexes-overview.adoc

@@ -1,4 +1,4 @@
-= Vectors and Vector Indexes
+= Use Vector Indexes for AI Applications
 :page-topic-type: concept
 :page-ui-name: {ui-name}
 :stem: latexmath

modules/vector-index/partials/nav.adoc

@@ -1,12 +1,12 @@
-* xref:server:vector-index:vectors-and-indexes-overview.adoc[]
+* xref:vector-index:vectors-and-indexes-overview.adoc[]
 +
 --
-** xref:server:vector-index:use-vector-indexes.adoc[] 
-** xref:server:vector-index:hyperscale-vector-index.adoc[]
-*** xref:server:vector-index:hyperscale-filter.adoc[]
-*** xref:server:vector-index:hyperscale-reranking.adoc[]
-** xref:server:vector-index:composite-vector-index.adoc[]
-** xref:server:vector-index:vector-index-best-practices.adoc[]
+** xref:vector-index:use-vector-indexes.adoc[] 
+** xref:vector-index:hyperscale-vector-index.adoc[]
+*** xref:vector-index:hyperscale-filter.adoc[]
+*** xref:vector-index:hyperscale-reranking.adoc[]
+** xref:vector-index:composite-vector-index.adoc[]
+** xref:vector-index:vector-index-best-practices.adoc[]
 --
 +
 --

modules/vector-search/pages/vector-search.adoc

@@ -1,4 +1,4 @@
-= Use Vector Search for AI Applications
+= Vector Search Using Search Vector Indexes
 :page-topic-type: concept
 :page-ui-name: {ui-name}
 :page-product-name: {product-name}