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Currently Playing: Store All Data Types with Agentic RAG in n8n

My FREE AI OS Course: https://www.skool.com/ai-automation-society/about Full courses + unlimited support: https://www.skool.com/ai-automation-society-plus/about Apply for my YT podcast: https://podcast.nateherk.com/apply Work with me: https://uppitai.com/ My Tools💻 FREE MONTH voice to text: https://get.glaido.com/nate Code NATEHERK for 10% off VPS (annual plan): https://www.hostinger.com/vps/claude-code-hosting 🤝 Cole's Video Showcasing this Template: https://youtu.be/mQt1hOjBH9o?si=baFiojdlIEMzC8YZ RAG is evolving—simple retrieval isn't always enough anymore. In this video, I break down Agentic RAG, why reasoning before querying a database is crucial, and how it leads to more intelligent AI systems. We’ve heard terms like KAG, Graph RAG, and Agentic RAG, but what do they actually mean? Sponsorship Inquiries: 📧 nate@smoothmedia.co Connect with me: https://www.linkedin.com/in/nateherkelman/ https://x.com/nateherk https://www.instagram.com/nateherk/ WATCH NEXT: https://youtu.be/u2Tuu02r7QI TIMESTAMPS 00:00 What is RAG? 01:10 RAG Data Pipeline 02:24 Vector DB RAG 03:56 Agentic RAG Visualization 05:18 Why Does Agentic RAG Matter? 08:46 Cole Medin’s RAG Template 10:47 Tabular Data Testing 14:08 Vector RAG Testing 17:05 Full Document Summaries Gear I Used: Camera: Razer Kiyo Pro Microphone: HyperX SoloCast