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LangGraph Fundamentals Explained with Example

In this video, we break down the core components of LangGraph in the simplest possible way. If you want to build real AI agents and agentic workflows, you must understand these fundamentals before writing a single line of code. We cover: • What is LangGraph and why it exists • Graph data structure in AI systems • Core components:   – State (memory)   – Node (actions)   – Edge (flow control)   – Execution engine • Stateful vs Stateless systems • A complete real-world example:   Ordering a burger under ₹300 from a restaurant rated above 4 ⭐ We also explain how an AI agent executes tasks internally: Requirement extraction → State creation → Tool usage → Filtering → Decision → Execution.