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# Tutorial: LangGraph
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> This tutorial is AI-generated! To learn more: https://github.com/The-Pocket/Tutorial-Codebase-Knowledge
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> This tutorial is AI-generated! To learn more, check out [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)
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LangGraph helps you build complex **stateful applications**, like chatbots or agents, using a *graph-based approach*.
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LangGraph<sup>[View Repo](https://github.com/langchain-ai/langgraph/tree/55f922cf2f3e63600ed8f0d0cd1262a75a991fdc/libs/langgraph/langgraph)</sup> helps you build complex **stateful applications**, like chatbots or agents, using a *graph-based approach*.
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You define your application's logic as a series of steps (**Nodes**) connected by transitions (**Edges**) in a **Graph**.
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The system manages the application's *shared state* using **Channels** and executes the graph step-by-step with its **Pregel engine**, handling things like branching, interruptions, and saving progress (**Checkpointing**).
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**Source Repository:** [https://github.com/langchain-ai/langgraph/tree/55f922cf2f3e63600ed8f0d0cd1262a75a991fdc/libs/langgraph/langgraph](https://github.com/langchain-ai/langgraph/tree/55f922cf2f3e63600ed8f0d0cd1262a75a991fdc/libs/langgraph/langgraph)
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```mermaid
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flowchart TD
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A0["Pregel Execution Engine"]
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