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How to Build an AI App with Supabase

sowad sheikh··2 min read

AI applications often need more than an AI API. A real AI product may need user accounts, conversation history, uploaded files, usage information, and application settings. Supabase can provide many of those backend components.

Create User Authentication

Start by allowing users to create accounts. Supabase Auth can handle the authentication layer.

Store Conversations

Create database tables for conversations and messages. For example:

conversations

and

messages

Each record can be connected to the appropriate user.

Protect User Data

Use Row Level Security so one user cannot access another user's conversations.

Handle AI API Keys Carefully

If your application communicates with an AI provider, don't expose a private API key directly in browser code. Use a server-side function or backend service for operations that require secret credentials.

Store Uploaded Files

If users upload PDFs, images, or other files for AI processing, Supabase Storage can provide the file layer.

Add Background Processing

Large files or long-running AI operations may be better handled asynchronously rather than inside a normal browser request.

Deploy the Application

Your frontend can run on your preferred hosting environment while Supabase provides the backend. If you want the complete open-source Supabase stack on infrastructure you control, Hostwares provides self-hosted Supabase with PostgreSQL, Auth, Storage, Realtime, and Studio. The result is an AI application with a real backend rather than just an AI-generated interface.

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