Definition
LangGraph is an orchestration framework built on top of LangChain designed for creating stateful, multi-actor applications by representing workflows as cyclic graphs. Unlike linear chains, it enables agents to loop back to previous steps for iterative reasoning, self-correction, and human-in-the-loop interaction.
Not a vector database or a simple DAG; it is a specialized library for managing cyclic state machines in LLM workflows.
"A complex circuit board with feedback loops where a central 'State' ledger is updated by various processors (nodes) as data circles through them."
- State(Component: The shared data structure that nodes read from and write to.)
- Nodes(Component: Individual functions or LLM units that perform specific tasks within the graph.)
- Edges(Component: The routing logic that defines the flow between nodes, including conditional transitions.)
- Self-RAG(Use Case: An advanced RAG pattern where the agent evaluates its own retrieval quality and loops back to re-query if needed.)
Conceptual Overview
LangGraph is an orchestration framework built on top of LangChain designed for creating stateful, multi-actor applications by representing workflows as cyclic graphs. Unlike linear chains, it enables agents to loop back to previous steps for iterative reasoning, self-correction, and human-in-the-loop interaction.
Disambiguation
Not a vector database or a simple DAG; it is a specialized library for managing cyclic state machines in LLM workflows.
Visual Analog
A complex circuit board with feedback loops where a central 'State' ledger is updated by various processors (nodes) as data circles through them.