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Extensions / AI and vectors

pgcontext

Vector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables.

pgext.cloud · Source code · Documentation · License text · Control file · PGXN

Overview

Packagepgcontext
Version0.3.0
PostgreSQL versions17 · 18
RepositoryPIGSTY
Extension typeStandard
Project statusActive
Requires CREATE EXTENSIONYes
Requires preloadNo
TrustedNo
RelocatableNo
Schemapgcontext
Stars251
Latest commit2026-08-14
Latest release2026-08-15
Catalogue updated2026-08-30

Related extensions

Required by

pgcontext_pgvectorOptional pgvector compatibility bridge for pgcontext HNSW indexes.

See also

vectorvector data type and ivfflat and hnsw access methods
vectorizeThe simplest way to do vector search on Postgres
vchordVector database plugin for Postgres, written in Rust
vectorscaleAdvanced indexing for vector data with DiskANN
pg_rrfReciprocal rank fusion functions for hybrid search
pg_searchFull text search for PostgreSQL using BM25
pg_bestmatchGenerate BM25 sparse vector inside PostgreSQL
vchord_bm25A postgresql extension for bm25 ranking algorithm
pgmnemoSingle-plan multimodal agent memory for PostgreSQL
pg_summarizeText Summarization using LLMs. Built using pgrx

Same project

pgcontext_pgvectorOptional pgvector compatibility bridge for pgcontext HNSW indexes.