pgvector is an open-source PostgreSQL extension for storing and querying vector embeddings. It enables you to store embeddings from machine learning models directly in your database and efficiently perform similarity searches using various distance metrics like cosine distance, Euclidean distance, and inner product. This makes it suitable for applications like semantic search, recommendation systems, anomaly detection, and other tasks that rely on vector similarity.
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