Description
Vector similarity search works inside PostgreSQL for embeddings and recommendation data. It is a database extension used by developers who want nearest-neighbor queries without moving data to a separate vector database. Users create vector columns and indexes through SQL, with normal PostgreSQL permissions protecting the stored data.