Antigravity
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03e6a62b80
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feat: migrate semantic search to pgvector + full-text search
Deploy to Production / Build and Deploy (push) Successful in 2m12s
Replace JSON-string embeddings with native pgvector(1536) storage and
add PostgreSQL full-text search (tsvector/GIN) with Reciprocal Rank Fusion
for hybrid keyword + semantic ranking.
Changes:
- NoteEmbedding.embedding: String → vector(1536) via pgvector
- NoteEmbedding: added updatedAt for reindex tracking
- Note: added tsv (tsvector) with auto-update trigger for FTS
- semantic-search.service: hybrid FTS + vector search with RRF fusion
- embedding.service: toVectorString() for pgvector SQL literals
- Removed JS-side cosine similarity loops (now DB-side via <=>)
- Added HNSW index on NoteEmbedding.embedding (cosine distance)
- Added GIN index on Note.tsv for FTS queries
Schema migration in: prisma/migrations/20260512120000_pgvector_and_fts_search/
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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2026-05-12 07:03:56 +00:00 |
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