moai-platform-supabase

Supabase multi-tenant data isolation is configured by implementing Row-Level Security policies directly on PostgreSQL tables. This enforces secure access control rules at the database level, ensuring users only retrieve their authorized rows.

Yes, pgvector enables vector similarity search in Supabase by leveraging PostgreSQL 16. You must enable the vector extension in your project to support AI-assisted applications and perform high-dimensional similarity queries directly within your database.

Supabase real-time collaboration is built using real-time subscriptions and Presence features. By wiring client and server components through Supabase client libraries, your application can broadcast live user states and synchronize shared data instantly across connected clients.

Yes, Supabase supports serverless edge functions for executing backend logic at the edge. Configuring edge functions allows you to run secure integrations and serverless workflows close to your users without managing traditional server infrastructure.

The best way to integrate Supabase auth and storage is by combining Row-Level Security policies with storage transformations. This full-stack production pattern ensures secure file access control and authenticated uploads directly tied to user identities.