Struct NormalizedEmbeddingModel 

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

归一化 Embedding 模型适配器

包装一个内部 EmbeddingModel，对输出向量进行 L2 归一化， 确保所有向量都是单位向量。适用于需要使用余弦相似度的场景。

Implementations

impl<M> NormalizedEmbeddingModel<M>

where M: EmbeddingModel,

pub fn new(inner: M) -> Self

创建归一化适配器

pub fn l2_normalize(vector: &mut [f32])

对向量进行 L2 归一化

pub fn inner(&self) -> &M

获取内部模型引用

Trait Implementations

impl<M> EmbeddingModel for NormalizedEmbeddingModel<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