Build a Custom RAG Customer Support Agent in n8n (Step-by-Step Tutorial)

Learn how to build a fully functional RAG (Retrieval-Augmented Generation) Customer Support Agent inside n8n! 🚀 In this complete step-by-step tutorial, you'll see how to connect your knowledge base, vector database, and LLM inside n8n to build an intelligent AI agent that answers customer queries accurately using your own business data. 📌 What You’ll Learn in This Video: What is RAG and why AI Customer Support Agents need it How to set up Vector Stores (Pinecone, Qdrant, Supabase, etc.) in n8n Loading, chunking, and embedding knowledge documents into vector databases Building the AI Agent workflow using LangChain & OpenAI/Claude nodes in n8n Testing, optimizing, and handling edge cases for customer support Resources & Helpful Links: • Official n8n Documentation: • Join the n8n Community: Subscribe for more n8n tutorials, AI Agents, and no-code automation guides! #n8n #AIAgent #rage #CustomerSupport #Automation #NoCode #OpenAI #VectorDatabase