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As seen in: Towards Data Science
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LLM Output Parsing: Function Calling vs. LangChain

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By Gabriel Cassimiro, Structured OutputParser, Lemon wedges, Steps Separately."
| Towards Data Science
How to consistently parse outputs from LLMs using Open AI API and LangChain function calling: evaluating the methods’ advantages and disadvantages Creating tools with LLMs requires multiple components, such as vector databases, chains, agents, document splitters, and many other new tools. However, one of the most crucial components is the LLM output parsing. If you cannot receive structured responses from your LLM, you will have a hard time working with the generations.
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