DA-1253: Update Demo to use New Vector index in Couchbase 8.0 #2
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VirajAgarwal1
commented
Oct 29, 2025
VirajAgarwal1
commented
- replace CouchbaseSearchDocumentStore with CouchbaseQueryDocumentStore (GSI-based)
- replace CouchbaseSearchEmbeddingRetriever with CouchbaseQueryEmbeddingRetriever
- add QueryVectorSearchType.ANN and QueryVectorSearchSimilarity.DOT configuration
- remove INDEX_NAME requirement (GSI indexes auto-discovered)
- upgrade couchbase-haystack from 2.0.0 to 2.1.0
- update README with Hyperscale and Composite Vector Index creation instructions
- add .gitignore for secrets.toml
- update documentation links to Couchbase Cloud vector index docs
… Index support - replace CouchbaseSearchDocumentStore with CouchbaseQueryDocumentStore (GSI-based) - replace CouchbaseSearchEmbeddingRetriever with CouchbaseQueryEmbeddingRetriever - add QueryVectorSearchType.ANN and QueryVectorSearchSimilarity.DOT configuration - remove INDEX_NAME requirement (GSI indexes auto-discovered) - upgrade couchbase-haystack from 2.0.0 to 2.1.0 - update README with Hyperscale and Composite Vector Index creation instructions - add .gitignore for secrets.toml - update documentation links to Couchbase Cloud vector index docs
Summary of ChangesHello @VirajAgarwal1, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request refactors the RAG demo to leverage the advanced GSI-based vector indexing features available in Couchbase 8.0. The changes involve updating core Haystack components to use the new Highlights
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Code Review
This pull request successfully updates the demo application to use Couchbase 8.0's new GSI-based vector indexes. The changes involve replacing CouchbaseSearchDocumentStore with CouchbaseQueryDocumentStore, updating the necessary configurations, and upgrading the couchbase-haystack dependency. The README has been significantly improved with detailed instructions for the new vector index types. The code changes are correct and well-implemented. I have a few minor suggestions for the README and code to fix typos and improve clarity.
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
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@VirajAgarwal1 we need to have both fts and gsi example not only gsi |
- Introduced `chat_with_pdf_with_fts.py` for chatting with PDFs using Couchbase's Full Text Search (FTS) vector indexing. - Implemented document processing and storage in Couchbase Vector Store. - Enhanced README with detailed implementation options and setup instructions for FTS and other vector index types.
