wizardchen 092044b68f refactor(postgres): optimize vector retrieval and HNSW settings ...

- Adjusted the expanded TopK limit to a maximum of 200 candidates to enhance HNSW efficiency.
- Updated the vector retrieval query to ensure the ORDER BY expression matches the indexed expression, improving index usage.
- Implemented local settings for HNSW's ef_search and iterative_scan within a transaction to optimize candidate retrieval.
- Added fallback logic to handle unsupported GUCs gracefully, ensuring query execution continues even with older pgvector versions.

These changes improve the performance and reliability of vector retrieval in the PostgreSQL implementation.

2026-04-17 12:11:03 +08:00

..

repository.go

refactor(postgres): optimize vector retrieval and HNSW settings

2026-04-17 12:11:03 +08:00

structs.go

feat(repository): add TagID and IsRecommended fields to vector embeddings

2026-03-02 21:43:30 +08:00