From d23a42b9ca60675eeb5cb7c81378627be926b758 Mon Sep 17 00:00:00 2001 From: SanjanaBoggaramJ Date: Sat, 7 Feb 2026 23:21:58 +0530 Subject: [PATCH 1/3] Change vector index terminology in documentation Updated terminology from 'FTS vector index' to 'Search Vector Index' for clarity. --- tutorial/markdown/java/spring-ai.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tutorial/markdown/java/spring-ai.md b/tutorial/markdown/java/spring-ai.md index 2d876af..af0d102 100644 --- a/tutorial/markdown/java/spring-ai.md +++ b/tutorial/markdown/java/spring-ai.md @@ -160,10 +160,10 @@ The application uses `CouchbaseSearchVectorStore`, which: - Maintains metadata alongside vector embeddings ### Vector Index -The embedding store uses an FTS vector index in order to perform vector similarity lookups. If provided with a name for +The embedding store uses an Search Vector Index in order to perform vector similarity lookups. If provided with a name for vector index that does not exist on the cluster, the store will attempt to create a new index with default configuration based on the provided initialization settings. It is recommended to manually review the settings for the -created index and adjust them according to specific use cases. More information about vector search and FTS index +created index and adjust them according to specific use cases. More information about Search Vector Index configuration can be found at [Couchbase Documentation](https://docs.couchbase.com/server/current/vector-search/vector-search.html). ### Controller Class (`Controller.java`) @@ -227,4 +227,4 @@ In order to run this application, use the following command: - [Spring AI Documentation](https://docs.spring.io/spring-ai/reference/index.html) - [Couchbase Vector Search](https://docs.couchbase.com/server/current/fts/vector-search.html) - [OpenAI Embeddings Documentation](https://platform.openai.com/docs/guides/embeddings) -- [Spring Boot Documentation](https://docs.spring.io/spring-boot/docs/current/reference/html/) \ No newline at end of file +- [Spring Boot Documentation](https://docs.spring.io/spring-boot/docs/current/reference/html/) From 04571f49fbe35397425c30c3d1b461bf9d88b12c Mon Sep 17 00:00:00 2001 From: SanjanaBoggaramJ Date: Tue, 10 Feb 2026 13:40:36 +0530 Subject: [PATCH 2/3] Update tutorial/markdown/java/spring-ai.md Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> --- tutorial/markdown/java/spring-ai.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tutorial/markdown/java/spring-ai.md b/tutorial/markdown/java/spring-ai.md index af0d102..1c330a8 100644 --- a/tutorial/markdown/java/spring-ai.md +++ b/tutorial/markdown/java/spring-ai.md @@ -160,7 +160,7 @@ The application uses `CouchbaseSearchVectorStore`, which: - Maintains metadata alongside vector embeddings ### Vector Index -The embedding store uses an Search Vector Index in order to perform vector similarity lookups. If provided with a name for +The embedding store uses a Search Vector Index in order to perform vector similarity lookups. If provided with a name for vector index that does not exist on the cluster, the store will attempt to create a new index with default configuration based on the provided initialization settings. It is recommended to manually review the settings for the created index and adjust them according to specific use cases. More information about Search Vector Index From bd61c3b530c94a85faa7c05d2ead876ccae7ac0a Mon Sep 17 00:00:00 2001 From: SanjanaBoggaramJ Date: Tue, 10 Feb 2026 13:56:13 +0530 Subject: [PATCH 3/3] Update Couchbase vector search link and terminology resolving comments --- tutorial/markdown/java/spring-ai.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tutorial/markdown/java/spring-ai.md b/tutorial/markdown/java/spring-ai.md index 1c330a8..48c162f 100644 --- a/tutorial/markdown/java/spring-ai.md +++ b/tutorial/markdown/java/spring-ai.md @@ -56,7 +56,7 @@ Spring AI brings several benefits to Java developers: ## Couchbase Embedding Store -Couchbase spring-ai integration stores each embedding in a separate document and uses an FTS vector index to perform +Couchbase spring-ai integration stores each embedding in a separate document and uses an Search Vector Index to perform queries against stored vectors. - [Couchbase Integration with Spring AI Documentation](https://docs.spring.io/spring-ai/reference/api/vectordbs/couchbase.html) @@ -225,6 +225,6 @@ In order to run this application, use the following command: ## Resources - [Spring AI Documentation](https://docs.spring.io/spring-ai/reference/index.html) -- [Couchbase Vector Search](https://docs.couchbase.com/server/current/fts/vector-search.html) +- [Couchbase Vector Search](https://docs.couchbase.com/server/current/vector-search/vector-search.html) - [OpenAI Embeddings Documentation](https://platform.openai.com/docs/guides/embeddings) - [Spring Boot Documentation](https://docs.spring.io/spring-boot/docs/current/reference/html/)