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Author: ejscribner

docs/core_docs/docs/integrations/vectorstores/couchbase.mdx

@@ -10,9 +10,9 @@ import CodeBlock from "@theme/CodeBlock";
 [Couchbase](http://couchbase.com/) is an award-winning distributed NoSQL cloud database that delivers unmatched versatility, performance, scalability, and financial value for all of your cloud, mobile,
 AI, and edge computing applications. Couchbase embraces AI with coding assistance for developers and vector search for their applications.
 
-Vector Search is a part of the [Full Text Search Service](https://docs.couchbase.com/server/current/learn/services-and-indexes/services/search-service.html) (Search Service) in Couchbase.
+The `CouchbaseSearchVectorStore` is an implementation of Vector Search that is a part of the [Full Text Search Service](https://docs.couchbase.com/server/current/learn/services-and-indexes/services/search-service.html) (Search Service) in Couchbase.
 
-This tutorial explains how to use Vector Search in Couchbase. You can work with both [Couchbase Capella](https://www.couchbase.com/products/capella/) and your self-managed Couchbase Server.
+This tutorial explains how to use Vector Search via the Couchbase Search Service. You can work with both [Couchbase Capella](https://www.couchbase.com/products/capella/) and your self-managed Couchbase Server.
 
 ## Installation
 
@@ -172,7 +172,7 @@ const store = await CouchbaseVectorStore.initialize(
 
 ## Basic Vector Search Example
 
-The following example showcases how to use couchbase vector search and perform similarity search.
+The following example showcases how to use couchbase vector search via the Search Service and perform similarity search.
 For this example, we are going to load the "state_of_the_union.txt" file via the TextLoader,
 chunk the text into 500 character chunks with no overlaps and index all these chunks into Couchbase.
 

docs/core_docs/docs/integrations/vectorstores/couchbase_query.mdx

@@ -11,6 +11,12 @@ import CodeBlock from "@theme/CodeBlock";
 
 The `CouchbaseQueryVectorStore` is an implementation that uses Couchbase's Query service (SQL++) for vector similarity search instead of the Search service. This provides an alternative approach for vector operations using SQL++ queries with vector functions.
 
+:::note
+
+This functionality is only available in Couchbase Server 8.0 and above, which introduced vector search capabilities in the Query service.
+
+:::
+
 ## Key Differences from CouchbaseVectorStore
 
 - **Query Service**: Uses Couchbase's Query service with SQL++ instead of the Search service