LangGraph is a Python library, built on top of LangChain, that simplifies the creation of robust and stateful conversational applications by representing them as graphs. It allows developers to define a state that persists throughout the conversation, route messages between different components (nodes) in the graph based on defined conditions, and execute cycles (loops) within the conversation flow. This enables more complex and dynamic conversational patterns compared to simple linear chains, making it suitable for tasks like chatbots, agents, and other interactive systems requiring context management and decision-making.
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