Supabase Database Architecture

To design a Supabase database schema, define PostgreSQL tables for applications, documents, and agent tasks with appropriate fields and data types to ensure efficient backend data management for user execution history.

Row Level Security (RLS) isolates user data in PostgreSQL by enforcing strict database policies on tables, ensuring users can only access their own applications and documents at the database level.

Yes, you can use pgvector with Supabase for semantic search. The database architecture includes blueprints for integrating pgvector to support advanced vector similarity queries alongside standard data persistence.

The best way to structure tables in Supabase is to define core tables like applications and documents with specific fields, then apply RLS policies to maintain data integrity and isolate user access securely.

To add full-text search indexing to a Supabase database schema, implement the advanced feature blueprints provided in the architecture, which support text search capabilities alongside pgvector for semantic queries.

You need RLS policies for tables containing user-specific data like applications and documents. Configuring RLS on these tables ensures critical data isolation and prevents unauthorized access across your backend.