RAG & Data
Supabase
Open-source Firebase alternative built on Postgres that can support AI app data, auth, storage, and pgvector-backed retrieval.
Best for
Builders who want Postgres, auth, storage, edge functions, and vector search close to an AI app.
Integration profile
Model support
Works with model providers or local inference through application code and functions.
How to use this integration
- RAG storage
- User auth
- Vector search with pgvector
- AI app backend
Where it fits
Supabase fits in the rag & data layer of an AI stack. Use it when you need model outputs connected to real workflows, and evaluate it against your privacy needs, deployment model, team habits, and operational complexity.
Related tools
Related models
- Multilingual E5 Large
- Qwen3 Embedding