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👉 Get our State-of-the-Art n8n RAG System and learn how to customize it, in our community https://www.theaiautomators.com/?utm_... In this video, I dive deep into how you can transform your AI agents using Knowledge Graphs, combined with Retrieval Augmented Generation (GraphRAG). Traditional AI search often misses context and relationships between data, but with this system, your AI gets a rich, structured understanding of your documents — delivering smarter, more accurate, and context-aware responses. 🔗 Related Links & Resources: n8n RAG Masterclass: • n8n RAG Masterclass - Build AI Agents + Sy... LightRAG Github Repo: https://github.com/HKUDS/LightRAG LightRAG Docker Image URL: ghcr.io/hkuds/lightrag:latest Render: https://render.com/ n8n*: http://theaiautomators.com/go/n8n 🧠 What You’ll Learn: What is a Knowledge Graph and why it’s a game changer for AI agents How GraphRAG improves upon traditional RAG with multi-hop reasoning and relationship awareness Step-by-step demo of LightRag: auto-building and visualizing your Knowledge Graph from documents How to integrate LightRag with N8N workflows for seamless AI agent query handling Discussing real-world business use cases where this system shines: compliance, customer support, research, marketing, and more Setup guide: deploy LightRag, configure environment variables, connect with N8N, and tune retrieval parameters Benefits of hybrid search and re-ranking for precision and depth in AI-generated answers 📌 Timestamps 00:00 Intro 01:27 What are Knowledge Graphs 04:21 What is GraphRAG 08:11 Microsoft GraphRAG vs LightRAG 12:06 LightRAG Server Setup 16:15 LightRAG Document Processing 20:18 LightRAG Graph Demo 25:35 n8n Connection 28:58 n8n vs LightRAG 30:58 State of the Art n8n RAG Agent 34:10 GraphRAG Demo