Enum DistanceMetric 

pub enum DistanceMetric {
    Cosine,
    Euclidean,
    DotProduct,
    Manhattan,
    Fidelity,
    Hamming,
}

Distance metric for similarity search

Variants

Cosine

Cosine similarity (1 - cosine_sim for distance)

Euclidean

Euclidean (L2) distance

DotProduct

Dot product (negative for distance, higher = more similar)

Manhattan

Manhattan (L1) distance

Fidelity

Quantum Fidelity: |⟨ψ|φ⟩|² - treats vectors as quantum state amplitudes Best for quantum state embeddings where vectors represent probability amplitudes

Hamming

Hamming distance for binary/quantized vectors

Implementations

impl DistanceMetric

pub fn distance(&self, a: &Embedding, b: &Embedding) -> f32

Compute distance between two embeddings

pub fn similarity(&self, a: &Embedding, b: &Embedding) -> f32

Compute similarity (inverse of distance, higher = more similar)

Trait Implementations

impl Clone for DistanceMetric

fn clone(&self) -> DistanceMetric

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DistanceMetric

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for DistanceMetric

fn default() -> DistanceMetric

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DistanceMetric

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for DistanceMetric

fn eq(&self, other: &DistanceMetric) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for DistanceMetric

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for DistanceMetric

impl Eq for DistanceMetric

impl StructuralPartialEq for DistanceMetric