Struct ProjectedEigen 

pub struct ProjectedEigen;

Projected-eigen distance for multi-vector similarity.

Computes the negated sum of squared inner products over all query/document vector pairs:

ProjectedEigen(Q, D) = \sum_{i} \sum_{j} -IP(q_i, d_j)²

Unlike Chamfer, which keeps only the best-matching document vector per query vector, this accumulates a contribution from every pair, so the score reflects the full query–document interaction. As with the other multi-vector distances, lower is better.

Implements PureDistanceFunction for matrix view types.

Trait Implementations

impl Clone for ProjectedEigen

fn clone(&self) -> ProjectedEigen

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for ProjectedEigen

impl Debug for ProjectedEigen

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

Formats the value using the given formatter.

impl<T: Copy> PureDistanceFunction<QueryMatRef<'_, Standard<T>>, MatRef<'_, Standard<T>>> for ProjectedEigen

where InnerProduct: for<'a, 'b> PureDistanceFunction<&'a [T], &'b [T], f32>,

fn evaluate( query: QueryMatRef<'_, Standard<T>>, doc: MatRef<'_, Standard<T>>, ) -> f32