Quick links

rds_ai

Alibaba Cloud RDS extension for calling LLMs, generating embeddings, semantic retrieval, and end-to-end RAG from SQL

http	HTTP client for PostgreSQL, allows web page retrieval inside the database.
vector	vector data type and ivfflat and hnsw access methods

vector	vector data type and ivfflat and hnsw access methods
vectorize	The simplest way to do vector search on Postgres
pgedge_vectorizer	Asynchronous text chunking and embedding generation for PostgreSQL using background workers and pgvector.
pgmnemo	Single-plan multimodal agent memory for PostgreSQL
google_ml_integration	Google Cloud machine learning integration extension for registering model endpoints, generating embeddings, and invoking predictions from SQL.
pg_deeplake	Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
lantern_extras	Convenience functions for working with vector embeddings
pgcontext	Vector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables.
pg_semantic_cache	Caches query results and retrieves semantically similar results using pgvector embeddings and configurable eviction policies.
llama_embed	llama.cpp embedding extension for dense and multivector search
pg_colbert_llama	ColBERT embedding companion extension for pgturbohybrid
pgturbohybrid	hybrid vector and BM25 search for PostgreSQL on top of pgvector