moai-platform-supabase

You can set up a Supabase backend by configuring PostgreSQL 16 features, implementing Row Level Security (RLS) policies, and establishing a type-safe TypeScript client. This provides modular documentation and best practices for secure, scalable full-stack applications.

The best way to implement pgvector embeddings in Supabase is by applying the provided modular patterns for vector search and storage policies. This enables semantic search capabilities within your PostgreSQL database while maintaining secure access controls.

Yes, you can use real-time subscriptions and Edge Functions together in a multi-tenant Supabase application. This combination allows you to build real-time collaboration features while executing serverless logic securely across development and production workflows.

Yes, Supabase supports type-safe TypeScript client patterns for scalable apps. It provides API references and practical code examples that ensure type safety when interacting with your PostgreSQL database, real-time subscriptions, and Edge Functions.

To configure storage policies and RLS in Supabase, you apply specific access control rules at the database and storage levels. This ensures that files and data are securely managed and accessible only to authorized users across different environments.