[andai]

Hello, ChatGPT ;)

I found the benchmarks, but I'm having some trouble making sense of them. Sounds like this project would benefit from some graphs. And maybe some examples of real-world usecases, and how the different approaches stack up there?

[Jashwanth01]

Haha fair.. Yeah, that's a valid point. I'll work on adding some graphs soon to make the benchmarks easier to read.. And I'll add a few clearer real-world examples too so the tradeoffs are more obvious. Thanks for the suggestions.. Really helpful.

[rnewme]

This really doesnt read like llm to me. What part triggered you?

[fireflies_]

This is where I started getting that feeling:

> The curse of dimensionality is not theoretical — it’s painfully practical. In high dimensions, naive distance metrics degrade quickly.

>

> Scaling and normalization are not optional details. They fundamentally shape the geometry of the space.