I ran across this fascinating tool a few days ago researching embedding models on hugging face.<p>Advertised as "ColGREP
Semantic code search for your terminal and your coding agents",<p>I haven't put it in any harness yet but I probably should.<p><a href="https://github.com/lightonai/next-plaid/tree/main/colgrep" rel="nofollow">https://github.com/lightonai/next-plaid/tree/main/colgrep</a><p>I've also tried astgrep (also known as sg) but llms really mess up on them. I think you'd need to fine tune.<p>If anyone has cracked that case I'd love to hear about it
considering that ripgrep has marginal overhead over just reading the files to /dev/null, how exactly does this achieve 100x speedup?<p>I have a lot of use for something that can search ~1GB of text "instantly", but so far nothing beats rg/ag after the data has been moved into RAM.
Is there a write up of the underlying approach? The summary on the repo mentioned SIMD, but not a whole lot else.
It has never been ripgrep for decades for those of us on IDEs.
I have open sourced the fastest code search implementation. Comprehensive SDK for both file finder and grep file search that is over 100x faster than ripgrep
I don't get this submission title. Your tool uses regex but the title claims the future is not about regex.
I think it is about input. Before I had to type regex, now I just type text and fuzzy finds more, regex style. Awkward wording, but code seems cool.
This looks cool!<p>You should add a link to the GitHub repo for the project itself, at first I wasn't even sure what it was called.<p>I found this link
<a href="https://github.com/dmtrKovalenko/fff.nvim" rel="nofollow">https://github.com/dmtrKovalenko/fff.nvim</a>
ctags, GNU Global and even "ugrep -Q" would like to have a few words with you ;)
Why is it "for neovim"? Surely such a thing would be useful in many applications?
I don't get it how can I search anything but the file name?
How's it work? Embed tokens and use euclidean distance or something?
Websites that don’t tell me what they’re doing are infuriating. I’m on mobile. This landing page experience is awful.