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🎯 LangGraph Fundamentals | Nodes, Edges & State Explained In this crucial lecture, we break down 80–90% of the core concepts of LangGraph by focusing on its three fundamental building blocks: Nodes, Edges, and State. This video is designed to give you absolute clarity on how LangGraph works under the hood so that every advanced topic becomes easier to understand. 💡 What you’ll learn: What Nodes are (actions in a workflow) How Edges control the flow (sequential vs conditional logic) Why State is the backbone (shared memory across the system) How LangGraph handles complex, non-linear workflows Why traditional approaches like LangChain struggle with conditional flows 📌 We also walk through a real-world example of a hiring workflow to show how complex decision-making systems can be broken down into simple, structured components using LangGraph. ⚡ By the end of this video, you’ll be able to think in terms of graph-based architectures and confidently decompose any workflow into Nodes, Edges, and State. 🚨 This is one of the most important videos in the series — don’t skip it if you want strong fundamentals. Let’s master LangGraph from the ground up.