https://tube.grossholtz.net/videos/watch/77e294d8-3708-4fd0-922a-b888e9100982 In this Agentic RAG tutorial you will learn how to use the latest RAG techniques to build an AI Agent flow that routes to different data sources, provides fallback and self-correction in case of hallucinations or incorrect answers. We will also use open source software to achieve this, like FlowiseAI and the Llama 3.2 : 2b parameter model with Ollama. 🙏 Support My Channel: Buy me a coffee ☕ : https://www.buymeacoffee.com/leonvanzyl PayPal Donation: https://www.paypal.com/ncp/payment/EKRQ8QSGV6CWW 📑 Useful Links: FlowiseAI Cloud: https://flowiseai.com/auth/signup?referralCode=LEONVZ Download this Agent Flow: https://drive.google.com/drive/folders/1kX8c0c8HF9bs9Dw_8Jbr51fx1OYhAsHF Sequential Flows Crash Course: https://youtu.be/6LbvgTbS0BE Document Stores Tutorial: https://youtu.be/PLuSfAkOHOA Ollama & Llama 3.2 RAG: https://youtu.be/lJOZiRoZNJw 🧠 I can build your chatbots for you! https://www.cognaitiv.ai 🕒 TIMESTAMPS: 00:00 - Intro 06:44 - Project Setup 07:32 - Add chat model 08:22 - Adding State node 09:09 - Adding Router Agent 14:40 - Vector Store Retrieval 18:19 - Web Search Route 20:11 - Grading Agent 25:21 - Generate Answer LLM 29:23 - Self Correction Mon, 06 Apr 2026 05:07:58 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://tube.grossholtz.net https://tube.grossholtz.net/client/assets/images/icons/icon-512x512.png https://tube.grossholtz.net/videos/watch/77e294d8-3708-4fd0-922a-b888e9100982 All rights reserved, unless otherwise specified in the terms specified at https://tube.grossholtz.net/about and potential licenses granted by each content's rightholder.