Posted inDatabase
pgvector Guide: Storing and Searching Vector Embeddings in PostgreSQL for AI and RAG Applications
pgvector is a PostgreSQL extension that lets you store and search vector embeddings directly in your existing database — no need to deploy a separate system. This guide covers installation, HNSW index creation, semantic search, and integrating pgvector into a Python RAG pipeline, with practical monitoring tips from real-world experience.
