https://github.com/dmtrKovalenko/fff.nvim
"FFF stands for freakin fast fuzzy file finder (pick 3) and it is an opinionated fuzzy file picker for your AI agent and Neovim. Just for file search, but we do the file search really fff well.
FFF is a tool for grepping, fuzzy file matching, globbing, and multigrepping with a strong focus on performance and useful search results. For humans - provides an unbelievable typo-resistant experience, for AI agents - implements the fastest file search with additional free memory suggesting the best search results based on various factors like frecency, git status, file size, definition matches, and more."
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.
Ripgrep already has optimizations for regex which don't contain any patterns (or even just regex which contain such substrings). So "not regex" shouldn't be what makes the difference.
You should add a link to the GitHub repo for the project itself, at first I wasn't even sure what it was called.
I found this link https://github.com/dmtrKovalenko/fff.nvim
If that's the future then I'll stay in the past with ripgrep.
Advertised as "ColGREP Semantic code search for your terminal and your coding agents",
I haven't put it in any harness yet but I probably should.
https://github.com/lightonai/next-plaid/tree/main/colgrep
I've also tried astgrep (also known as sg) but llms really mess up on them. I think you'd need to fine tune.
If anyone has cracked that case I'd love to hear about it