N8N Documentation Expert Chatbot with OpenAI RAG Pipeline

How It Works This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, the official n8n documentation—and then build a chatbot to ask it questions. Think of it like this: instead of a general-knowledge AI, you're building an expert librarian. 🔧 Workflow Overview The workflow is split into two main parts: Part 1: Indexing the Knowledge (📚 Building the Library) This is a one-time process you run manually. The workflow will: Automatically scrape all pages of the n8n documentation. Break them down into small, digestible chunks. Use an AI model to create a

Help me set up the n8n workflow "N8N Documentation Expert Chatbot with OpenAI RAG Pipeline" (https://n8n.io/workflows/6281). It uses: HTTP Request, HTML, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Recursive Character Text Splitter, Simple Vector Store, Default Data Loader. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.