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kloud5ir

Show HN: Python package for rule-based chunk retrieval in Pinecone

https://github.com/whyhow-ai/rule-based-retrieval

Hey HN, sharing a python package we built for our design partners to simplify filtered vector similarity retrieval in Pinecone using a rule-based abstraction layer. Developers often tell us that they know exactly where to find the answer to a question within their raw data, but for one reason or another, their RAG pipeline is not pulling in the right chunks. By leveraging Pinecone metadata...

( Read More... | 1 comment | 2 points | on HN )
I really appreciate the spirit of this idea. Humanizing information is essential for learning and idea sharing.

I think the academic community could benefit greatly from this concept. Formal academic papers are confusing, but not without reason...they are standalone essays or dissertations that seek to persuade readers of a thesis based on all the evidence that an author can squeeze into a single publication. While it is understandable that these documents are long and complex, it makes it all the more difficult for less-specialized readers to consume and leverage this valuable, innovative information.

I would love to have a tool like this in the top corner of a digital academic library. Maybe instead of tldr <-> detail, a bar like this: layman <-> expert.