lunr.js VS fuzzysort

If your content is mostly static, you might want to consider pre-building an index and shipping it as a whole. You could look into something like

* https://stork-search.net/ (Rust/WASM)

* tinysearch: https://github.com/tinysearch/tinysearch (Rust/WASM)

* https://lunrjs.com/ (JS, simple, stable)

* http://elasticlunr.com/ - based on the former, slightly more sophisticated tuning options

Also search results can be pre-indexed and stored in a Json file. Just as an example. https://lunrjs.com/

Would anyone be willing to help make this more accessible and clean? I have some front-end dev experience, but it would be cool to work together with people to make sure we have something that makes sense and looks nicer than what I could do myself. As for functionality, searching on GitHub directly seems to work pretty well, but it might be better to have a page and a search feature maybe using something like Lunr. I would also like to create some sort of easy "API" in case Matt wants to embed some transcripts on his website. It would be cool if it would be as easy as just adding a blank div with a special id and a data attribute with the episode number on the Squarespace page.

which is open source, appears to be free, and claims that it can run in the browser

Is there a way to run it in WASM, to get something like Lunr[1]? We prefer to do our (small-index, <2MB) search client-side for a bunch of reasons, currently using Lunr.js, but it's a bit annoying and the typeahead search is something I improvised and not really official.

[1] https://lunrjs.com/

To ensure cross-platform compatibility, Bitwarden uses Lunr.js for searching. This search engine is a bit quirky, and difficult to get used to.

Slightly more js work required, but this should a more customisable solution: https://lunrjs.com/

OWDX runs entirely in the browser; as such, it cannot offer cutting-edge search functionality of the sort you'd find in a search engine or an expensive piece of enterprise software. The search library I'm using — lunr.js, for anyone who's interested — does, however, offer a nice set of core functionality and a modest but handy query language.

I use [1] for searching a fully static site

[1] https://github.com/farzher/fuzzysort

Use something like fuzzysort, to compare user input to what currently exists in the DB. If there are no good match scores, when comparing user input for "job title" to what exists in the DB, you can proceed with creating an entry. However, if there is a match, you can respond to the front-end with the best match, and use it to autofill the form (or provide some kind of feedback for the end user). Your web server should perform match score verification before adding a new job title to the DB.

This one perhaps fuzzy sort

I use fuzzysort for one of my static site search results

https://github.com/farzher/fuzzysort