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👉 In this Chapter 5 of my Generative AI Series, we dive deep into LangGraph 🚀. Here’s what you’ll learn in this video: ✅ LangGraph Basics – How to create a simple workflow with code ✅ Complex Workflows – Step-by-step coding examples for advanced AI pipelines ✅ Structured Output in OpenAI – Generate well-defined responses for real-world use cases ✅ Streaming LangGraph – Live output streaming explained ✅ Monitoring Workflows with LangSmith – Track & debug AI agents easily ✅ UI Comparisons – How tools like n8n & LangFlow are built on similar graph concepts Whether you’re building AI agents, automation pipelines, or monitoring tools, this tutorial gives you everything to get started with LangGraph 💡. 📌 Series Structure: This series will have 12–13 chapters, each releasing every 7–10 days. So, make sure you subscribe and hit the bell icon 🔔 to stay updated! 💡 Tip: Keep your notebook ready 📝, code along with me, and practice to master the concepts. 📽️ Watch the full playlist here: [https://www.youtube.com/playlist?list=PLJlUSSYHG1wbEj9uiMYTmGBAel5Wm2sf4] Create OpenAI API Key: [https://youtu.be/lLKA5fTWwHA] GitHub: https://github.com/LoopKaka/generative-ai Code ka chakkar, LoopKaka ke sath! 💻🌍 Streamlit Playlist: [https://www.youtube.com/playlist?list=PLJlUSSYHG1wZZRnJii5S7FOWzuDdN8hla] Find me on LinkedIn: [https://www.linkedin.com/in/sangrambadi/] 💬 Join the LoopKaka Discord Community! Got questions, doubts, or want to discuss topics from my videos? Join our friendly Discord server to connect, learn, and grow together 👇 👉 https://discord.gg/BZwkqTsbND