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DOC-12443: Reorganize GSI documents #264

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Aug 21, 2024
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DOC-12443: Reorganize GSI documents #264

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13 changes: 9 additions & 4 deletions modules/learn/pages/services-and-indexes/indexes/indexes.adoc
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Expand Up @@ -29,10 +29,15 @@ A Secondary Index is frequently referred to as a _Global Secondary Index_, or _G
This is the kind of index used most frequently in Couchbase Server, for queries performed with {sqlpp}.
For information on Global Secondary Indexes, see xref:services-and-indexes/indexes/global-secondary-indexes.adoc[Using Indexes].

Full Text:: Provided by the xref:services-and-indexes/services/search-service.adoc[Search Service], this is a specially purposed index, which contains targets derived from the textual contents of documents within one or more specified keyspaces.
Text-matches of different degrees of exactitude can be searched for.
Both input and target text-values can be purged of irrelevant characters (such as punctuation marks or html tags).
For information on how to create Full Text Indexes, see xref:fts:fts-creating-indexes.adoc[Creating Indexes].
Search:: Provided by the xref:services-and-indexes/services/search-service.adoc[Search Service], this is a specially purposed index, which contains targets derived from the contents of documents within one or more specified keyspaces.
Search indexes support text matching, geospatial, date-time, numeric range searches, and more.
For text matching, you can add filters to remove undesirable characters from input and target text values, such as punctuation marks or HTML tags.
For information on how to create Search indexes, see xref:search:create-search-indexes.adoc[].

Vector Search:: Provided by the xref:services-and-indexes/services/search-service.adoc[Search Service], this is a type of Search index which supports vector embeddings.
Use Vector Search indexes to run searches with the Search service using vector comparisons.
You can use Vector Search indexes for Retrieval Augmented Generation (RAG) with an existing Large Language Model (LLM).
To create Vector Search indexes, see xref:vector-search:create-vector-search-index-ui.adoc[] or xref:vector-search:create-vector-search-index-rest-api.adoc[].

Analytics:: Provided by the xref:services-and-indexes/services/analytics-service.adoc[Analytics Service], this is a materialized access path for the shadow data in an Analytics collection.
Analytics indexes can be used to speed up Analytics selection queries and join queries.
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