supabase AI Integration
Connect AI to Supabase to build apps with Postgres, authentication and vector search for RAG assistants and AI features.
Supabase is a developer platform built on PostgreSQL, adding authentication, storage, APIs and vector search. Teams use it as the backend for AI products: storing user data and embeddings, powering semantic search and keeping access rules in one place.
What you can build on Supabase with AI
Inbound: user content, documents and app events. Process: store embeddings with pgvector, run semantic or hybrid search, and call models from edge functions or your backend. Outbound: answers in your app, personalized results and automated workflows triggered by database changes.
Connecting Supabase safely
Use row-level security so each user only reaches their own data, keep service keys on the server and never in the browser, and separate development and production projects. Monitor usage and costs as your AI features grow.
FAQ
Can Supabase be used as a vector database?
Yes. It supports pgvector, so embeddings live next to your app data with the same access rules.
Is Supabase suitable for non-developers?
It is mainly a developer platform. Non-technical teams usually work with it through apps or integrations built on top.
Build the workflow with
Check each platform’s connector list for supabase, or connect through the supabase API.
Need supabase connected to AI?
We design, build and test AI workflows one process at a time, with human approval where it matters.