john-langlois/rag-proto

The "rag-proto" project is a workshop that guides users through building a production-ready Minimum Viable Product (MVP) for securely chatting with documents using PostgreSQL's pgvector extension and OpenAI's GPT models. It's designed for developers who want to learn how to implement Retrieval Augmented Generation (RAG) by creating a system that allows users to upload documents, generate embeddings, and chat with their content through an interactive interface. The project uses Supabase for backend services, including authentication, storage, and database management, making it suitable for developers familiar with JavaScript/TypeScript and interested in building AI-powered document chat applications.