<ul data-eligibleForWebStory="false"><li>The process involves defining a Pydantic BaseModel representing the desired JSON structure for handling data in Python using LLMs and LangChain library.</li><li>The .with_structured_output() method is used directly on the chat model to enforce the output conforms to the specified schema.</li><li>LangChain simplifies prompt engineering and validation processes, making it easier to work with LLMs.</li><li>The structured_llm object ensures the model outputs data in the desired format and includes built-in retry logic if needed.</li></ul>

Handling data in Python using LLMs and LangChain library: A Beginner’s Guide

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