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ldoguin opened this issue Jun 23, 2024 · 0 comments
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Add Couchbase Vector Store integration #938

ldoguin opened this issue Jun 23, 2024 · 0 comments
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couchbase enhancement New feature or request help wanted Extra attention is needed vector store

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@ldoguin
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ldoguin commented Jun 23, 2024

Couchbase is a Datavase supporting Vector search since vesion 7.6. It gives you the tools to store document embeddings, content and metadata and to search through those embeddings including metadata filtering.
@ldoguin ldoguin mentioned this issue Jun 23, 2024
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@sobychacko sobychacko added enhancement New feature or request vector store labels Jun 27, 2024
@sobychacko sobychacko added this to the 1.0.0-M2 milestone Jun 27, 2024
@markpollack markpollack modified the milestones: 1.0.0-M2, 1.0.0-RC1 Sep 4, 2024
@csterwa csterwa removed this from the 1.0.0-RC1 milestone Sep 10, 2024
@csterwa csterwa added the help wanted Extra attention is needed label Sep 10, 2024
@abhiraj2 abhiraj2 mentioned this issue Mar 10, 2025
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leijendary pushed a commit to leijendary/spring-ai that referenced this issue Mar 28, 2025
@ldoguin @leijendary
spring-projectsGH-938: Add Couchbase vector store support
5635889 
Fixes: spring-projects#938

Issue link: spring-projects#938

This commit integrates Couchbase as a vector store option in Spring AI, providing:

- CouchbaseSearchVectorStore implementation with vector similarity search capabilities
- Support for metadata filtering with SQL++ expression conversion
- Spring Boot auto-configuration and starter module for easy integration
- Comprehensive documentation covering setup, configuration, and usage examples
- Integration tests using TestContainers with Couchbase 7.6

The implementation supports configuring dimensions, similarity functions (dot_product/l2_norm),
and optimization strategies (recall/latency). Schema initialization is now opt-in via
the initializeSchema property. Documentation includes both auto-configuration and
manual configuration instructions, along with property configuration details.

Signed-off-by: Abhiraj <[email protected]>

co-authored-by: Laurent Doguin <[email protected]>
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Implemented Couchbase vector store support couchbaselabs/spring-ai
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@markpollack @csterwa @ldoguin @sobychacko