First project: A Search Engine for normalized scoring

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    I have spent my last two weeks learning Rust, and by doing so I created a Search Engine library. The purpose of this is to enable users to perform normalized scoring that scores documents between 0 and 1 (1 would mean that the query is exactly matching the document). I developed the algorithm initially in Javascript 2 years ago. I was curious about the performance of a "low level" language (coming from purely Java/Python/Javascript background) and how you can use it with Web assembly, so I thought it would be a great idea to get started with Rust! (I am so far very pleased) Demo: https://quantleaf.github.io/probly-search-demo/ Source: https://github.com/quantleaf/probly-search

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