#12. ReAct Framework Explained by Building an AI Agent (LangChain Hands-On Tutorial)

Description

You’ve heard about the ReAct Framework everywhere in AI Agent discussions… But what is ReAct actually doing inside an agent? In this video, we don’t just explain ReAct — we build a real ReAct agent step-by-step using LangChain so you can finally understand: ✅ What “Reasoning + Acting” really means ✅ How LLMs decide when to think vs use tools ✅ How ReAct powers modern AI agents ✅ How to implement ReAct using LangChain AgentExecutor ✅ How tools, prompts, and memory work together By the end, you’ll be able to build your own ReAct-powered AI agent from scratch. 🧠 What you’ll learn ReAct framework intuition Prompt structure behind ReAct How LangChain implements ReAct Tool calling logic Agent loop: Thought → Action → Observation Practical implementation with code 🛠️ Tech used LangChain OpenAI / LLM Python Tools / AgentExecutor Serper dev - https://serper.dev/ If you’re learning AI Agents, LLMs, LangChain, or Agentic Frameworks, this is a must-watch. #react #langchain #aiagents #llm #agenticai #python #reactframework #serperdev