Unverified50% confidenceFactExact time
There are three main ways to measure vector distance: cosine similarity, Euclidean distance (L2), and inner product (IP).
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedEuclidean distance measures the straight-line distance between two vectors in space, is very sensitive to the magnitude of the vectors, and takes both direction and size into account.70% similarUnverifiedTraditional vector retrieval relies on cosine similarity or dot products to find the nearest entries in a high-dimensional vector space.70% similarUnverifiedThe conversion between cosine distance and similarity is: similarity = 1 − distance, where a distance of 0 means perfect agreement and a distance of 2 means complete opposition.66% similar
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