n8n RAG Tutorial: Build a Blog AI Agent (Full Build + Fixes)

I built a fully working RAG AI agent in n8n that reads every article on a company blog and answers questions about it with cited sources. ✨AI & Automation - https://automationfeed.com/ai-automat... 📞APA Mastery: https://claude.apamastery.com/ In this video I walk through the entire build, live, including the real errors I hit along the way (vector dimension mismatches, empty embeddings) and exactly how I fixed them. If you've ever asked an AI a question about your own content and gotten a confident, made-up answer back - this is how you fix that, for real. 🧑‍🎓WHAT YOU'LL LEARN? What RAG actually is, explained simply (no jargon) The two-part architecture: an ingestion pipeline that indexes content, and a chat agent that retrieves before it answers How to build both, node by node, in n8n Why chunk overlap matters when splitting text for embeddings The real vector-dimension errors I hit with Pinecone + embeddings, and how to fix them How to test the final agent and verify it's citing real sources, not hallucinating 🕑TIMESTAMPS 00:00 - Intro 00:57 - The 4 step approach 01:30 - The problem: why AI chatbots hallucinate? 02:17 - RAG explained simply 02:41 - Run n8n locally for FREE 03:08 - Architecture overview: ingestion pipeline vs. chat agent 03:52 - Building the ingestion pipeline in n8n 23:02 - Why chunk overlap matters 25:25 - Ingestion pipeline recap 26:05 - Building the RAG chat agent 30:22 - Live demo: asking the agent real questions 31:56 - Making chat agent publicly available 33:26 - Recap until now 33:56 - The error you wanted to know If you build automation or AI workflows and want more real builds like this - including the mistakes, not just the clean version, SUBSCRIBE, there's more coming. 📌Install n8n locally:    • Install n8n Locally in 5 Minutes (No Docker!)   📌n8n playlist:    • Install n8n Locally in 5 Minutes (No Docker!)   Social Media: 📢Youtube:    / @automationfeed   📢Instagram:   / automationfeed   📢Twitter:   / automationfeed   📢LinkedIn:   / automationfeed   #n8n #n8nworkflow #n8ntutorial Please write back to us at automationfeed1[at]gmail.com for more information.