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Offtopic: I find a lot of the langchain hate is misplaced and misguided. Sure, if you want to ship a weekend project using the LLM APIs directly is probably fine. But I've gotten a lot of use out of Langchain's abstractions on real-world projects that evolve quickly over time. At a minimum, it provides a common language for building LLM applications.

Some valid criticisms: (1) the learning curve is steep (2) the APIs and docs are volatile (though to be expected).

This reminds me of the old Django vs Flask debate. Sure, Flask is easy to get started with, but over time you end up building an undocumented, untested Django.




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