AgentsDev6 min reading time

LangChain vs LangGraph: 4 Key Differences and When to Use Each

Towards Data Science
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LangGraph extends LangChain by enabling stateful, loop-capable workflows using graph structures with nodes and conditional edges, unlike LangChain's stateless, linear pipelines. This allows more complex agentic workflows with built-in state management and routing.

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