RAG Chatbot for Google Drive and Supabase Files

This n8n template builds a retrieval-augmented generation system that automatically indexes files from Google Drive and Supabase Storage, converts them into OpenAI embeddings, and stores them in a Supabase vector database. Users can then chat naturally with an AI agent to instantly find answers buried inside large document repositories, instead of manually searching folder by folder. It is well suited for teams managing contracts, reports, or knowledge files who need fast, conversational access to their own content. The workflow handles chunking, embedding, and memory automatically, making document search genuinely effortless.

Category: RAG & Knowledge Base