Struct DimReductionEmbeddingModel 

pub struct DimReductionEmbeddingModel<M>
where
    M: EmbeddingModel,
{ /* private fields */ }

降维 Embedding 模型适配器

包装一个内部 EmbeddingModel，通过截断或平均池化将输出向量降维到指定维度。 适用于需要将高维向量适配到低维索引的场景。

Implementations

impl<M> DimReductionEmbeddingModel<M>

where M: EmbeddingModel,

pub fn new( inner: M, target_dimension: usize, strategy: DimReductionStrategy, ) -> Self

创建降维适配器

pub fn truncate(inner: M, target_dimension: usize) -> Self

创建截断降维适配器

pub fn average(inner: M, target_dimension: usize) -> Self

创建平均池化降维适配器

pub fn reduce(&self, vector: Vec<f32>) -> Vec<f32>

降维单个向量

pub fn inner(&self) -> &M

获取内部模型引用

pub fn target_dimension(&self) -> usize

获取目标维度

pub fn strategy(&self) -> DimReductionStrategy

获取降维策略

Trait Implementations

impl<M> EmbeddingModel for DimReductionEmbeddingModel<M>

where M: EmbeddingModel,

fn embed<'life0, 'life1, 'async_trait>( &'life0 self, text: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<Vec<f32>, AiError>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

fn embed_batch<'life0, 'life1, 'async_trait>( &'life0 self, texts: &'life1 [String], ) -> Pin<Box<dyn Future<Output = Result<Vec<Vec<f32>>, AiError>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

fn dimension(&self) -> usize

fn model_name(&self) -> &str