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33 lines
1.3 KiB
Markdown
33 lines
1.3 KiB
Markdown
---
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layout: default
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title: "LangGraph"
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nav_order: 12
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has_children: true
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---
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# Tutorial: LangGraph
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LangGraph 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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A1["Graph / StateGraph"]
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A2["Channels"]
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A3["Nodes (PregelNode)"]
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A4["Checkpointer (BaseCheckpointSaver)"]
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A5["Control Flow Primitives (Branch, Send, Interrupt)"]
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A0 -- "Executes" --> A1
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A1 -- "Contains" --> A3
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A3 -- "Updates State Via" --> A2
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A0 -- "Manages State Via" --> A2
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A0 -- "Uses Checkpointer" --> A4
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A1 -- "Defines Control Flow With" --> A5
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A5 -- "Directs Execution Of" --> A0
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A4 -- "Saves State Of" --> A2
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``` |