timescale/pgai

A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL

Archived
44
/ 100
Emerging

Provides declarative SQL-based vectorizer pipelines that automatically generate and synchronize embeddings as PostgreSQL data changes, decoupling embedding failures from core database operations. Includes a Semantic Catalog feature for natural language-to-SQL translation in agentic applications, and supports multiple embedding providers through stateless worker architecture. Integrates with pgvector/pgvectorscale for semantic search and works across PostgreSQL variants including Timescale Cloud, RDS, and Supabase.

5,767 stars.

Archived No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 18 / 25

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Stars

5,767

Forks

307

Language

PLpgSQL

License

PostgreSQL

Last pushed

Feb 11, 2026

Commits (30d)

0

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