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Maybe a mixture of both?

I think both projects were super useful, grateful for them. There is a lot of utility tucked away in both projects.

A year ago,I started using LLM APIs in non-Python languages and realized that sometimes building from scratch is better.

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Thanks for clarifying. I generally agree with you -- I prefer direct API calls versus weird/poor abstractions. The only abstraction I use is one that standardizes the API calls/data structures between Gemini/GPT-x/Llama 2/Claude.

That being said, I do use RAG a lot (though generally code most of the implementations myself).

Fast changing libraries are a huge pain. That's why a no-code approach like Unstract (https://github.com/zipstack/unstract) makes sense.

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