A team wants similarity ranking to emphasize vector direction rather than magnitude. Which distance is the most direct fit?

1. Absolute difference between vector dimension counts
2. Hamming distance on arbitrary floating-point embeddings
3. Euclidean distance on unnormalized vectors
4. Cosine distance