pgvector

pgvector is an open-source extension for PostgreSQL that enables efficient vector similarity search, allowing you to seamlessly integrate AI-powered features directly into your database. Unlike standalone vector databases, pgvector keeps your vector embeddings alongside your structured data, ensuring ACID compliance and leveraging all of Postgres' robust features like JOINs and point-in-time recovery. It supports various distance metrics, including L2, inner product, cosine, and more, and offers both exact and approximate nearest neighbor search, providing the flexibility to balance speed and accuracy.

This powerful extension empowers developers and data scientists to build sophisticated applications directly on top of their existing PostgreSQL infrastructure. pgvector's support for multiple data types including half-precision, binary, and sparse vectors, indexing methods like HNSW and IVFFlat, and comprehensive documentation ensures high performance, scalable similarity searches within your familiar database environment. It's ideal for applications requiring AI-driven search, recommendation systems, and more, with the power and reliability of PostgreSQL at its core.