n8n Docs Expert Chatbot with OpenAI RAG Pipeline

This workflow creates a Retrieval-Augmented Generation (RAG) system turning an AI into an n8n documentation expert. Part 1 handles one-time indexing: it scrapes all n8n docs pages, splits them into chunks, generates embeddings with an AI model, and stores them in n8n's Simple Vector Store. This builds a searchable knowledge base like detailed index cards for every doc section. Part 2 is the interactive chatbot. On query, it retrieves the most relevant chunks from the vector store, feeds them to