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Extensions / AI and vectors

rag

Deprecated RAG helper extension for document extraction/chunking and remote embedding, reranking, and chat APIs.

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

Overview

Packagepgrag
Version0.0.0
PostgreSQL versions13 · 14 · 15 · 16 · 17 · 18
RepositoryUnspecified
Extension typeStandard
Project statusArchived
Requires CREATE EXTENSIONYes
Requires preloadNo
TrustedNo
RelocatableNo
Schemarag
Stars101
Latest commit2026-06-15
Latest release2025-10-16
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
pgedge_vectorizerAsynchronous text chunking and embedding generation for PostgreSQL using background workers and pgvector.
pgmnemoSingle-plan multimodal agent memory for PostgreSQL
rds_aiAlibaba Cloud RDS extension for calling LLMs, generating embeddings, semantic retrieval, and end-to-end RAG from SQL
pgcontextVector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables.
avocadoAvocadoDB PostgreSQL extension for deterministic context compilation for AI agents.
google_ml_integrationGoogle Cloud machine learning integration extension for registering model endpoints, generating embeddings, and invoking predictions from SQL.
pg_llmIntegrates local and remote large-language models with chat, sessions, text-to-SQL, audit and vector-backed knowledge features.
neurondbAI database extension for vector search, ML inference, hybrid search, and RAG in PostgreSQL.

Same project

rag_bge_small_en_v15rag_bge_small_en_v15: local bge-small-en-v1.5 embeddings in PostgreSQL
rag_jina_reranker_v1_tiny_enRuns jina-reranker-v1-tiny-en locally in a preloaded background worker and exposes SQL rerank scores and distances.