sk Skill · timescale
pgvector-semantic-search
Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. Trigger when user asks to: — Store or search vector embeddings in PostgreSQL — Set up semantic search, similarity search, or nearest neighbor search — Create HNSW or IVFFlat indexes for vectors — Implement RAG (Retrieval Augmented Generation) with PostgreSQL — Optimize pgvector…
Open on skills.sh ↗read 2026-09-18
- installs 8w
- 216
- 30-day movement
- starts with the next reading
- Related entries
- 1
- Connections
- 0
sqlPython
- Host repository
- timescale/pg-aiguide
- Installs, lifetime
- 852
- Installs, 8 weeks
- 216
- Compatible with
- Requires PostgreSQL 15+ with the pgvector extension
- Licence
- Apache-2.0
- Host stars
- 1,843
- Host language
- Python