Both LangChain and LangGraph are AI Agents Orchestration frameworks.
Basic difference is, the workflow in LangChain is Sequential and Linear, however using LangGraph AI Agents flows those are non-Linear, conditional edges, cycles, retry mechanism can be created.
LangChain can be typically used for Prototyping, simple RAG, tool-using agents.
LangGraph is best suited for Agentic RAG, multi-agent systems, review loops, complex decisioning.
LangSmith is towards debugging, monitoring, monitoring tokens, cost etc.
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