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41 lines
1.8 KiB
Markdown
41 lines
1.8 KiB
Markdown
# 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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```
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## Chapters
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1. [Graph / StateGraph](01_graph___stategraph.md)
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2. [Nodes (`PregelNode`)](02_nodes___pregelnode__.md)
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3. [Channels](03_channels.md)
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4. [Control Flow Primitives (`Branch`, `Send`, `Interrupt`)](04_control_flow_primitives___branch____send____interrupt__.md)
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5. [Pregel Execution Engine](05_pregel_execution_engine.md)
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6. [Checkpointer (`BaseCheckpointSaver`)](06_checkpointer___basecheckpointsaver__.md)
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---
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Generated by [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)
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