PostgreSQL / pgvector Integration
Postgres plus pgvector gives AI apps a familiar SQL database with embedding storage and similarity search.
Best for
Teams that want to keep RAG data, metadata, and application records in Postgres.
Integration profile
Model support
Stores embeddings from local or hosted embedding models; generation happens through application code.
How to use this integration
- Embedding search
- RAG retrieval
- Metadata filtering
- AI app storage
Related tools
- pgvector
- LlamaIndex
- LangChain
Related models
- Multilingual E5 Large
- Qwen3 Embedding