Default normalization in distances is counterintuitive (or wrong)

[mcschmitz]

Not a real bug, and maybe it's just personal preference, but I feel like the normalization in several distances is counterintuitive.
For example, the documentation for CosineSimilarity, says

This class is equivalent to DotProductSimilarity(normalize_embeddings=True).

Which of course is correct, however, the default DotProductSimilarity itself normalizes the input vectors.

Also, the documentation for the LpDistance says

With default parameters, this is the Euclidean distance.

This is not true as the Euclidean distances performs on unnormalized vectors.

So maybe a bug after all(?)

[KevinMusgrave]

Which of course is correct, however, the default DotProductSimilarity itself normalizes the input vectors.

Hmm, yeah it would make more sense for DotProductSimilarity to not normalize the vectors. That might be a surprising change for anyone using it currently, so I will leave that for v3.0.

Also, the documentation for the LpDistance says...

Thanks for pointing that out, I will update the docs.