Enum DistanceMetric 

pub enum DistanceMetric {
    Cosine,
    L2,
    InnerProduct,
}

RediSearch vector distance metric. Determines how the returned distance is converted to a similarity score (higher = more similar).

Variants

Cosine

Cosine distance. Score = 1 - distance (1 = identical, -1 = opposite).

L2

Squared Euclidean (L2) distance in [0, inf). Score = 1 / (1 + distance) (1 = identical, approaching 0 as vectors get farther apart).

InnerProduct

Inner-product distance. RediSearch returns 1 - inner_product, so Score = 1 - distance (equal to the inner product; 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 Copy for DistanceMetric

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 Eq for DistanceMetric

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 StructuralPartialEq for DistanceMetric