pgvecto.rs Documentation
pgvecto.rs has been succeeded by vchord. For new deployments, use vchord; for existing pgvecto.rs databases, follow the Migration Guide.
Introduction and installation guide for pgvecto.rs.
Creating indexes, running similarity searches, monitoring, quantization, and compatibility in pgvecto.rs.
Tutorials for hybrid search, adaptive retrieval, image search, multi-tenancy, sparse vectors, and RAG QA.
Integrate pgvecto.rs with LangChain, LlamaIndex, and Citus distributed PostgreSQL.
Configuration, upgrading, logical replication, FDW, Kubernetes, and migration for pgvecto.rs.
Frequently asked questions, comparisons with pgvector and specialized vector databases, and benchmarks.
SQL schema, indexing options, search options, and vector types in pgvecto.rs.
Contributing guide, project roadmap, and open-source adopters.
Development environment and build tutorial for pgvecto.rs contributors.