LangChain vs LangGraph: 4 Key Differences and When to Use Each
Towards Data Science
Read full postLangGraph 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.




