Website Q&A Chatbot with RAG, OpenAI GPT-4o-mini & Supabase
Transforms any website into a RAG-powered chatbot by extracting content, generating embeddings, storing in Supabase Vector DB, and enabling context-aware Q&A with OpenAI.
This workflow solves the problem of static websites lacking interactive Q&A by automating the creation of a Retrieval-Augmented Generation (RAG) chatbot. It starts with a form trigger accepting a website URL, fetches HTML content via HTTP requests, cleans it by removing scripts and ads, and parses it into smaller, manageable text chunks using function nodes.
Next, it generates vector embeddings for each chunk using OpenAI's GPT-4o-mini model and stores them along with metadata in Supabase's vec
- Platform
- n8n
- Category
- HR & Operations
- Price
- $24.99
- Creator
- Milo Byrne
- RAG
- Chatbot
- OpenAI
- GPT-4o-mini
- Supabase
- Vector Database
- Embeddings
- Website Crawler
- AI Automation
- Q&A Bot
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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