Create an Expert Chatbot Using n8n Documentation with Gemini RAG Pipeline

This workflow guides you through creating an AI chatbot that specializes in n8n documentation. It involves two main parts: indexing the documentation to create a knowledge base and setting up a chat interface that uses this knowledge to answer user queries accurately. The process involves scraping the documentation, creating embeddings, and storing them in a vector store. The chatbot retrieves relevant information from this store to ensure responses are grounded in the documentation.