LangGraph Tutorial: How State, Nodes & Edges Power LLM Agents
🚀 Build robust, memory-aware LLM applications with LangGraph
In this video, we break down the three core concepts that power LangGraph: State, Nodes, and Edges. You’ll learn how LangGraph simplifies building intelligent workflows by combining graph theory, state machines, and function-based design.
🔹 What You’ll Learn:
👉What is “state” and how it stores shared memory
👉How nodes encapsulate LLM calls, logic, and tools
👉How edges determine the execution path
👉Real-world examples with TypedDict, conditional logic, and execution flow
👉How LangGraph executes your graph step-by-step
💻 Whether you're building an AI agent, automating decisions, or chaining tools and prompts — LangGraph gives you superpowers!
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