May 12
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In this complete LangGraph tutorial, we will understand what LangGraph actually is, why it was created, and why modern AI agents require workflow orchestration beyond traditional LangChain applications. This tutorial explains: * What is LangGraph * LangGraph vs LangChain * Why LangGraph is important * Problems solved by LangGraph * Stateful AI agents * Conditional routing * Retry loops * AI workflow orchestration * Agent architecture * Graph-based execution * Real-world industry use cases We will also build a practical AI workflow step-by-step and visualize the actual LangGraph execution graph. Topics Covered: ✅ What is LangGraph ✅ Why LangGraph was created ✅ LangChain vs LangGraph ✅ AI Agent Architecture ✅ Stateful AI Systems ✅ Workflow Orchestration ✅ Retry Mechanism ✅ Conditional Edges ✅ Nodes and State ✅ Production AI Systems ✅ Real-world Use Cases ✅ Practical Coding Examples This video is perfect for: * Python Developers * AI Engineers * GenAI Developers * LangChain Learners * AI Agent Builders * Students learning Agentic AI Tech Stack: * Python * LangChain * LangGraph * AI Agents * Generative AI If you want to build production-grade AI agents, autonomous workflows, or multi-agent systems, learning LangGraph is essential. 📬 CONNECT WITH ME: LinkedIn: www.linkedin.com/in/vivekpol Twitter: https://x.com/polvivek77 GitHub: https://github.com/polvivek77/LangGraph 🔔 Subscribe and hit the bell icon to get new project videos every week. Business enquiries: polvivek77@gmail.com #LangGraph #LangChain #AIAgents #GenerativeAI #Python #LLM #AgenticAI #ArtificialIntelligence #OpenAI #AIEngineering