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Extensions / AI and vectors

rag_bge_small_en_v15

rag_bge_small_en_v15: local bge-small-en-v1.5 embeddings in PostgreSQL

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

Overview

Packagepgrag
Version0.0.0
PostgreSQL versions13 · 14 · 15 · 16 · 17 · 18
RepositoryUnspecified
Extension typePreloaded
Project statusArchived
VendorNeon
Requires CREATE EXTENSIONYes
Requires preloadYes
TrustedNo
RelocatableNo
Shared librariesrag_bge_small_en_v15, rag_jina_reranker_v1_tiny_en
Schemarag_bge_small_en_v15
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
pgmnemoSingle-plan multimodal agent memory for PostgreSQL
google_ml_integrationGoogle Cloud machine learning integration extension for registering model endpoints, generating embeddings, and invoking predictions from SQL.
pg_deeplakeDeeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
flamePGRX proof-of-concept extension that generates text embeddings with fastembed/MiniLM.
pgcontextVector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables.
rds_aiAlibaba Cloud RDS extension for calling LLMs, generating embeddings, semantic retrieval, and end-to-end RAG from SQL
neurondbAI database extension for vector search, ML inference, hybrid search, and RAG in PostgreSQL.
pg_llmIntegrates local and remote large-language models with chat, sessions, text-to-SQL, audit and vector-backed knowledge features.

Same project

ragDeprecated RAG helper extension for document extraction/chunking and remote embedding, reranking, and chat APIs.
rag_jina_reranker_v1_tiny_enRuns jina-reranker-v1-tiny-en locally in a preloaded background worker and exposes SQL rerank scores and distances.