VectorChord
Scalable vector search in PostgreSQL
VectorChord is a PostgreSQL extension developed by TensorChord that provides scalable, high-performance, and disk-efficient vector similarity search. It succeeds pgvecto.rs and uses RaBitQ compression to store vectors at significantly lower cost, enabling billions of vectors to be hosted on a single machine. VectorChord is fully compatible with pgvector data types and syntax, and supports external index builds to offload resource-intensive indexing to separate machines.
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Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs
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