LangChain vs LangGraph: Choosing the right framework for modern AI applications
As AI applications continue moving beyond simple chatbots, development teams are facing new challenges around orchestration, memory management, and multi-step reasoning. Frameworks such as LangChain and LangGraph have become central to this shift, especially for companies building AI copilots, autonomous workflows, and retrieval-based systems. While the two frameworks belong to the same ecosystem, they are designed for different levels of workflow complexity. Understanding the differences between LangChain and LangGraph is important for teams that want to build scalable, maintainable, and production-ready AI applications. 1. What is...
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