pg-aiguide Skills
Security scan passedPostgres best practices for your agent: table design, indexes, pgvector and hybrid search, PostGIS and TimescaleDB hypertables.
Loading listing…
pgvector-semantic-search
Security scan passedUse this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semanti…
Part of pg-aiguide SkillsPack · 9 skills
by timescale· DatabasesUnclaimed · Yours? Claim it
What pgvector-semantic-search does
About
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 performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.
Install pgvector-semantic-search
More from Databases
Skills people install alongside pgvector-semantic-search.
