uFuzzy VS orama

Thank you. We need more libs like that. I just researched the field yesterday and https://github.com/leeoniya/uFuzzy looked pretty good. But there is a gap in the market of such libs. Just few allow to send the whole html document, serialize and deserialize index to be used in browser, highlighting the matches is desired feature.

Most importantly very few fuzzy search libs can get a simple substring match as a priority, which is understandable but not helpful. Imagine searching for “xample” and not having “example” among the results.

interesting, i made something much more stupid but brutally effective: https://github.com/leeoniya/uFuzzy

i guess if you wanted to do sorting by contact frequency you can just keep the original haystack sorted by frequency, and get Richard match first.

allow me to self-promote https://github.com/leeoniya/uFuzzy

Keep the tech simple and minimal. Just the basics: javascript, css, HTML. No react or other frameworks. No tech for tech's sake. I did use one very excellent search library uFuzzy.

maybe habit, maybe less devDependencies, maybe wanting to hand-author a readable/commented form of https://github.com/leeoniya/uFuzzy/blob/main/dist/uFuzzy.d.ts?

Let's break into the steps to utilize Orama and analyze how it works. I won't dig into the technical stuff because, hey, it's an open-source project, which means you can easily peek at the source code, no problemo!

If you are interested in it, you can learn more about it in the official documentation. And don't forget to follow Orama on Twitter and Michere Riva its CTO.

I'll use the Lyra repository for this article, so thanks to the Lyra contributors if this article has a great git history and awesome code.

You can checkout lyra, its in-memory full text search engine for javascript