Enum DistanceMetric 

pub enum DistanceMetric {
    Cosine,
    L2,
    InnerProduct,
}

Distance metric used for vector similarity search.

Variants

Cosine

Cosine similarity (1 - cosine distance). Best for normalized embeddings.

L2

Euclidean (L2) distance. Best for absolute spatial similarity.

InnerProduct

Inner product. Best for maximum inner product search (MIPS).

Implementations

impl DistanceMetric

pub fn ops_class(&self) -> &'static str

Returns the pgvector operator class for HNSW index creation.

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() -> Self

Returns the “default value” for a type.

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 Copy for DistanceMetric

impl Eq for DistanceMetric

impl StructuralPartialEq for DistanceMetric