Apr 9
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LangChain or LangGraph — which one should you use? And when does it matter? In this video, I build the exact same customer support assistant using both frameworks, then push it with a tricky real-world scenario to show you exactly where LangChain stops and LangGraph takes over. You'll see: → What LangChain is (chains, tools, retrievers — the foundation) → What LangGraph is (graphs, conditional edges, state — the agentic layer) → A feature-by-feature comparison table → Live demo: customer support built with LangChain (works great... until it doesn't) → The "ceiling" moment: where linear chains can't handle branching logic → Same task rebuilt with LangGraph (routing, alternatives, escalation — all automatic) → The Decision Framework: 3 questions to pick the right tool every time Key insight: LangChain is the bricks. LangGraph is the architect. They're layers, not alternatives. ⏱️ Timestamps: 0:00 — Same task, two frameworks, different results 3:12 — Where we are in the series 3:53 — What is LangChain? (Chains, tools, retrievers) 5:05 — What is LangGraph? (Graphs, state, conditional edges) 7:04 — Side-by-side comparison table 8:42 — Demo: Customer support with LangChain 10:00 — The ceiling: where LangChain stops 11:00 — Demo: Same task with LangGraph 13:23 — The Decision Framework (when to use which) 15:00 — What's next: Agentic Design Patterns 📓 Free Colab Notebook (both versions — run them yourself): https://github.com/prashantnair2050/yt/blob/main/LangChain_vs_LangGraph_Comparison-2.ipynb 📺 Previous Videos: #1 What is Agentic AI? Explained Simply → https://youtu.be/iYoklMzdyLc #2 Build a RAG Pipeline from Scratch → https://youtu.be/KVDg84z9ih4 📺 Next: Agentic Design Patterns Deep Dive → [LINK WHEN READY] 🔗 Connect: LinkedIn: https://www.linkedin.com/in/prashant-solution-architect/ Instagram: @pn_riderbysoul Corporate Training: prashant@vnex.in #LangChain #LangGraph #GenAI #AgenticAI #LangChainTutorial #LangGraphTutorial #AIFramework #AITutorial #PrashantNair #LangChainVsLangGraph