Create RAG Documentation Expert Bot with Gemini & Supabase

This advanced n8n workflow creates a complete RAG pipeline to transform any documentation—such as n8n's official docs—into a specialized AI expert bot. It consists of two core parts: (1) Indexing, a one-time process that scrapes documentation pages, splits them into chunks, generates embeddings using AI, and stores them in a private Supabase vector database. (2) Querying, a chat interface where user questions retrieve the most relevant chunks, which are then fed to Gemini with instructions to answer solely from that context, ensuring factual, grounded responses.

Benefits include hyper-accurate AI answers without hallucinations, easy scalability to other document sets, and full privacy via your own Supabase instance. It saves hours of manual research and setup for custom knowledge bases, ideal for teams needing reliable domain-specific AI.

Use cases: Internal company docs Q&A, product support bots, technical manual assistants, training material experts, or any scenario requiring precise retrieval from large document corpora. Setup takes 15-20 minutes with a free Supabase account, making it accessible yet powerful for developers and IT pros.