LangGraph vs LangChain Explained: Building AI Workflows

Description

Welcome back to the Agentic AI Course For beginner! 🤖 If you want to build advanced, multi-step AI agents, you need the right framework. Today, we are tackling the ultimate debate: LangGraph vs LangChain. While LangChain is fantastic for standard applications, LangGraph introduces a new way to structure your AI's thought process. We will dive deep into how "Nodes" and "Edges" work together behind the scenes, giving you the power to orchestrate dynamic, cyclic, and highly customized AI systems. [In this video, you will learn:] ✔️ The core differences between LangChain and LangGraph ✔️ What "Nodes" and "Edges" are and how they control AI logic ✔️ How to build, customize, and manage complex agentic workflows ✔️ When to choose which framework for your specific AI project If this breakdown helped you understand AI frameworks better, hit Subscribe and turn on the Bell Icon 🔔 so you don't miss our next deep dive! #LangGraph #LangChain #AgenticAI #ArtificialIntelligence #LearnAI #GenerativeAI #PythonDeveloper #MachineLearning #AITutorial #TechIndia #aiautomation