What it does
An n8n workflow in two parts. The first scrapes the n8n documentation pages, splits them into chunks, creates embeddings with Gemini and stores them in a Supabase vector store. The second is a chat agent that answers questions using only the retrieved chunks.
Use cases
- 01Answer product questions from your help docs
- 02Internal bot for onboarding documentation
- 03Learn how a RAG pipeline is built in n8n
Connects
HTTP Request · Supabase · HTML · AI Agent · Simple Memory · Recursive Character Text Splitter · Supabase Vector Store · Default Data Loader · Embeddings Google Gemini · Google Gemini Chat Model