RAG Documentation Expert Bot with Gemini & Supabase
Build a specialized AI chatbot using RAG to answer questions accurately from your documentation via Gemini and Supabase vector store.
This advanced n8n workflow creates a Retrieval-Augmented Generation (RAG) pipeline to transform an AI into a domain-specific expert, exemplified by indexing the n8n documentation. It scrapes web pages, chunks content, generates embeddings, and stores them in a Supabase vector database for precise retrieval. The chatbot then queries this knowledge base to provide factual, grounded responses using only relevant document chunks fed to Gemini, eliminating hallucinations and ensuring accuracy.
Part
Platform
n8n
Category
Travel
Price
$24.99
Creator
Bryce Yu
RAG
Gemini
Supabase
Chatbot
Embeddings
Vector Database
AI Agent
Documentation
Knowledge Base
Retrieval
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.