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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.
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📑 Useful Links:
FlowiseAI Cloud: https://cloud.flowiseai.com/register?...
Download this Agent Flow: https://drive.google.com/drive/folder...
Sequential Flows Crash Course: • Master Sequential Agents: Build Complex AI...
Document Stores Tutorial: • RAG Like a BOSS 🔥 Flowise Document Stores ...
Ollama & Llama 3.2 RAG: • Build Your Own ChatGPT Alternative FREE (N...
🕒 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