Quick links

pg_gembed

Generate embeddings inside PostgreSQL

vector data type and ivfflat and hnsw access methods

vector	vector data type and ivfflat and hnsw access methods
google_ml_integration	Google Cloud machine learning integration extension for registering model endpoints, generating embeddings, and invoking predictions from SQL.
ecaz	Rust PostgreSQL extension for high-performance vector storage with broad quantization and index support.
pgcontext	Vector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables.
lantern_extras	Convenience functions for working with vector embeddings
ruvector	SIMD-accelerated vector type and indexes with graph, solver, TDA, local embedding, and AI SQL functions.
avocado	AvocadoDB PostgreSQL extension for deterministic context compilation for AI agents.
vectorize	The simplest way to do vector search on Postgres
pg_deeplake	Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
aws_ml	Amazon Aurora PostgreSQL extension for invoking Amazon Comprehend, SageMaker AI, and Bedrock services from SQL.