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?
> The curse of dimensionality is not theoretical — it’s painfully practical. In high dimensions, naive distance metrics degrade quickly.
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> Scaling and normalization are not optional details. They fundamentally shape the geometry of the space.