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That's great feedback. I actually went back and forth between those two descriptions. I agree that "dense text, like financial reports and legal documents" is more precise. Those are the kinds of use cases this project is built for.

I want to keep this project tightly scoped to just retrieval over dense unstructured text, rather than trying to build a fully-featured RAG framework.

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FWIW nobody has created a great JavaScript framework experience yet. Closest we have for RAG is LlamaIndexTS or Langchainjs but both are full of bugs and have little LLM support. Their whole approach to supporting LLMs is writing bespoke wrappers for each.

Maybe it's the same on the Python side, but it feels like nobody has nailed the perfect LLM wrapper library yet. I would focus on dev experience - make it dead simple to load in files and use it from 0-1.

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