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VectorDistance

rig_core::embeddings::distance

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

Distance and similarity metrics for embedding vectors. Supply equal-length vectors; the embedding implementation pairs only their shared prefix. Unnormalized cosine requires nonzero magnitudes.

Required Methods§

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

Get dot product of two embedding vectors

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

Get cosine similarity of two embedding vectors. If normalized is true, the dot product is returned.

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

Get angular distance of two embedding vectors.

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

Get euclidean distance of two embedding vectors.

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

Get manhattan distance of two embedding vectors.

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

Get chebyshev distance of two embedding vectors.

Dyn Compatibility§

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety".

Implementors§