Create RAG Documentation Expert Bot with Gemini & Supabase
Build a Retrieval-Augmented Generation (RAG) chatbot that indexes n8n docs into a Supabase vector store and queries them accurately with Gemini AI for expert responses.
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 an
Platform
n8n
Category
Development & IT
Price
$24.99
Creator
Fred Garcia
RAG
AI Chatbot
Gemini
Supabase
Vector Database
Documentation
Knowledge Base
Retrieval Augmented Generation
n8n Automation
Embeddings
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.