A Search Engine with a normalized scoring function

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  • quantleaf-language-documentation

    Quantleaf Language Documentation & Examples

    Hey! I am involved in a project where I am trying to create a programming language that uses machine learning to compile text as computer code, some info here (https://github.com/quantleaf/quantleaf-language-documentation). This is not yet open source as a whole, but I am currently in the process of doing so. The first subproject to be released is a search engine library that enables you to score documents with a value between 0 and 1 (I call it “zero-to-one” score). In short, this is done by evaluating the product of how close we are to a perfect match regarding document length and query length, but also in terms of the amount of tokens, in the document and in the query.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • probly-search-demo

    probly-search demo app using React and wasm

    Library source code: https://github.com/quantleaf/probly-search Demo source code: https://github.com/quantleaf/probly-search-demo

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