Tutorial-Codebase-Knowledge/docs/LangGraph/index.md

Tutorial: LangGraph

LangGraph helps you build complex stateful applications, like chatbots or agents, using a graph-based approach. You define your application's logic as a series of steps (Nodes) connected by transitions (Edges) in a Graph. 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).

Source Repository: https://github.com/langchain-ai/langgraph/tree/55f922cf2f3e63600ed8f0d0cd1262a75a991fdc/libs/langgraph/langgraph

flowchart TD
    A0["Pregel Execution Engine"]
    A1["Graph / StateGraph"]
    A2["Channels"]
    A3["Nodes (PregelNode)"]
    A4["Checkpointer (BaseCheckpointSaver)"]
    A5["Control Flow Primitives (Branch, Send, Interrupt)"]
    A0 -- "Executes" --> A1
    A1 -- "Contains" --> A3
    A3 -- "Updates State Via" --> A2
    A0 -- "Manages State Via" --> A2
    A0 -- "Uses Checkpointer" --> A4
    A1 -- "Defines Control Flow With" --> A5
    A5 -- "Directs Execution Of" --> A0
    A4 -- "Saves State Of" --> A2

Chapters

1. Graph / StateGraph
2. Nodes (PregelNode)
3. Channels
4. Control Flow Primitives (Branch, Send, Interrupt)
5. Pregel Execution Engine
6. Checkpointer (BaseCheckpointSaver)

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