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Extensions / AI and vectors

pgedge_vectorizer

Asynchronous text chunking and embedding generation for PostgreSQL using background workers and pgvector.

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

Overview

Packagepgedge_vectorizer
Version1.1
PostgreSQL versions14 · 15 · 16 · 17 · 18
RepositoryUnspecified
Extension typePreloaded
Project statusActive
Requires CREATE EXTENSIONYes
Requires preloadYes
TrustedNo
RelocatableNo
Shared librariespgedge_vectorizer
Schemapgedge_vectorizer
Stars36
Latest commit2026-08-28
Latest release2026-08-28
Catalogue updated2026-08-30

Related extensions

Requires

vectorvector data type and ivfflat and hnsw access methods

See also

vectorvector data type and ivfflat and hnsw access methods
vectorizeThe simplest way to do vector search on Postgres
rds_aiAlibaba Cloud RDS extension for calling LLMs, generating embeddings, semantic retrieval, and end-to-end RAG from SQL
pgmnemoSingle-plan multimodal agent memory for PostgreSQL
pgturbohybridhybrid vector and BM25 search for PostgreSQL on top of pgvector
ragDeprecated RAG helper extension for document extraction/chunking and remote embedding, reranking, and chat APIs.
llama_embedllama.cpp embedding extension for dense and multivector search
pg_colbert_llamaColBERT embedding companion extension for pgturbohybrid
pg_semantic_cacheCaches query results and retrieves semantically similar results using pgvector embeddings and configurable eviction policies.
pgturbohybrid_experimentalexperimental sparse and multivector features for pgturbohybrid
pg_cuvs⚡ Blazing-fast GPU vector search for PostgreSQL powered by NVIDIA cuVS.
avocadoAvocadoDB PostgreSQL extension for deterministic context compilation for AI agents.