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
- Bruno Jonsson
- 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.
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