🤖 Documentation Expert Bot with RAG, Gemini & Supabase
Build a RAG-powered AI chatbot that specializes in n8n documentation using Gemini for accurate answers and Supabase for vector storage.
This workflow creates a complete Retrieval-Augmented Generation (RAG) pipeline to transform the n8n documentation into an expert AI chatbot. It scrapes official n8n docs, chunks content, generates embeddings, and stores them in a Supabase vector database for efficient retrieval. The chat interface then queries this knowledge base to fetch relevant chunks and feeds them to Gemini, ensuring responses are factual and grounded in the source material.
Part 1 focuses on one-time indexing: automatical