Trait VectorDistance

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pub trait VectorDistance {
    // Required methods
    fn dot_product(&self, other: &Self) -> f64;
    fn cosine_similarity(&self, other: &Self, normalized: bool) -> f64;
    fn angular_distance(&self, other: &Self, normalized: bool) -> f64;
    fn euclidean_distance(&self, other: &Self) -> f64;
    fn manhattan_distance(&self, other: &Self) -> f64;
    fn chebyshev_distance(&self, other: &Self) -> f64;
}

Expand description

Similarity and distance metrics for embedding vectors.

Required Methods§

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fn dot_product(&self, other: &Self) -> f64

Dot product of two vectors.

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fn cosine_similarity(&self, other: &Self, normalized: bool) -> f64

Cosine similarity in [-1, 1].

Pass normalized = true if both vectors are already unit-length (e.g. models like text-embedding-3-small with dimensions set) — this skips the magnitude computation and just returns the dot product.

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