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If your embeddings are normalized this won't change much, since euclidean distance and cosine similarity produce the same ranking on normalized vectors. If you
by wongarsu 3y ago
If your embeddings are normalized this won't change much, since euclidean distance and cosine similarity produce the same ranking on normalized vectors.
If your embeddings aren't normalized it's worth trying. In our use cases it never made a substantial difference, but I imagine there are cases where it does.