Apr 12
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Welcome to first video of the LangGraph Series! 🌙 In this session, we’re exploring LangGraph — a powerful framework for building stateful, multi-step AI agent workflows. 🤖⚙️ If you’ve been using LLMs but struggle with managing memory, loops, or complex decision flows, LangGraph will change how you design AI systems. By the end of this lesson, you’ll understand: ✅ What LangGraph is and why it’s used ✅ How it differs from LangChain ✅ The concept of stateful AI workflows ✅ Nodes, edges, and graph-based execution ✅ How to build multi-step AI agent flows ✅ Real-world use cases of LangGraph ✅ Why LangGraph is powerful for advanced AI systems With clear explanations and practical examples, you’ll gain the confidence to build next-gen AI agents with structured workflows. 🚀 💬 Don’t forget to Like, Subscribe, and Comment what you learned today — your support keeps these coding lessons going strong! ✨ Before you sleep, make sure you’ve learned something new. ✨ #LangGraph #AI #AIAgents #LangChain #LLM #ArtificialIntelligence #Python #AIEngineering #AgenticAI #TechExplained #CodeBeforeYouSleep #YashJain