# pgvecto.rs Documentation (Legacy)

> Complete documentation archive for pgvecto.rs (vectors extension), predecessor to VectorChord.

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LLMS index: [llms.txt](/llms.txt)

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> [!WARNING]
> **`pgvecto.rs` has been succeeded by [VectorChord](/docs/).** For new deployments, use [VectorChord](/docs/getting-started/overview/); for existing `pgvecto.rs` databases, follow the [Migration Guide](/docs/admin/migration/).

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Section pages:

- [Getting Started](/pgvecto-rs/getting-started/): Introduction and installation guide for pgvecto.rs.
- [Usage](/pgvecto-rs/usage/): Creating indexes, running similarity searches, monitoring, quantization, and compatibility in pgvecto.rs.
- [Use Cases](/pgvecto-rs/use-case/): Tutorials for hybrid search, adaptive retrieval, image search, multi-tenancy, sparse vectors, and RAG QA.
- [Integration](/pgvecto-rs/integration/): Integrate pgvecto.rs with LangChain, LlamaIndex, and Citus distributed PostgreSQL.
- [Administration](/pgvecto-rs/admin/): Configuration, upgrading, logical replication, FDW, Kubernetes, and migration for pgvecto.rs.
- [FAQs](/pgvecto-rs/faqs/): Frequently asked questions, comparisons with pgvector and specialized vector databases, and benchmarks.
- [Reference](/pgvecto-rs/reference/): SQL schema, indexing options, search options, and vector types in pgvecto.rs.
- [Community](/pgvecto-rs/community/): Contributing guide, project roadmap, and open-source adopters.
- [Developers](/pgvecto-rs/developers/): Development environment and build tutorial for pgvecto.rs contributors.

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Backlinks:

- [ARM + VectorChord: Affordable, Fast Vector Search](/blog/post/arm-vectorchord-affordable-fast-vector-search/)
- [Building LLM Applications in LangChain using  pgvecto.rs](/blog/post/building-llm-applications-in-langchain-using-pgvectors/)
- [Building the RAG pipeline with LlamaIndex and pgvecto.rs](/blog/post/building-the-rag-pipeline-with-llamaindex-and-pgvectors/)
- [Do we really need a specialized vector database? (2023)](/blog/post/do-we-really-need-a-specialized-vector-database-2023/)
- [Introducing PGVecto.rs Cloud - Scalable Vector Search in PostgreSQL, Now in the Cloud](/blog/post/introducing-pgvectors-cloud-scalable-vector-search-in-postgresql-now-in-the-cloud/)
- [pg_bestmatch.rs: Elevate Your PostgreSQL Text Queries with BM25](/blog/post/pgbestmatchrs-elevate-your-postgresql-text-queries-with-bm25/)
- [pgvector vs. pgvecto.rs in 2024: A Comprehensive Comparison for Vector Search in PostgreSQL](/blog/post/pgvector-vs-pgvectors-in-2024-a-comprehensive-comparison-for-vector-search-in-postgresql/)
- [Unleash the power of sparse vector](/blog/post/unleash-the-power-of-sparse-vector/)
- [Vector Search Over PostgreSQL: A Comparative Analysis of Memory and Disk Solutions](/blog/post/vector-search-over-postgresql-a-comparative-analysis-of-memory-and-disk-solutions/)
- [VectorChord: Store 400k Vectors for $1 in PostgreSQL](/blog/post/vectorchord-store-400k-vectors-for-1-in-postgresql/)
- [pgvecto.rs 0.2: Unifying Relational Queries and Vector Search in PostgreSQL](/blog/release/pgvectors-02-unifying-relational-queries-and-vector-search-in-postgresql/)