Struct DefaultRetrieverEngine 

pub struct DefaultRetrieverEngine<VS, EM, CS>
where
    VS: VectorStore,
    EM: EmbeddingModel,
    CS: ChunkingStrategy,
{ /* private fields */ }

默认检索引擎实现

结合 Embedding 模型、分块策略和向量存储提供完整的 RAG 功能。

Implementations

impl<VS, EM, CS> DefaultRetrieverEngine<VS, EM, CS>

where VS: VectorStore, EM: EmbeddingModel, CS: ChunkingStrategy,

pub fn new(vector_store: VS, embedding_model: EM, chunking_strategy: CS) -> Self

创建新的检索引擎

Trait Implementations

impl<VS, EM, CS> RetrieverEngine for DefaultRetrieverEngine<VS, EM, CS>

where VS: VectorStore, EM: EmbeddingModel, CS: ChunkingStrategy,

fn index<'life0, 'async_trait>( &'life0 self, documents: Vec<Document>, ) -> Pin<Box<dyn Future<Output = Layer3Result<Vec<String>>> + Send + 'async_trait>>

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

索引文档

fn retrieve<'life0, 'life1, 'async_trait>( &'life0 self, query: &'life1 str, top_k: usize, ) -> Pin<Box<dyn Future<Output = Layer3Result<Vec<RetrievalResult>>> + Send + 'async_trait>>

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

检索相似文档

fn hybrid_retrieve<'life0, 'life1, 'async_trait>( &'life0 self, query: &'life1 str, top_k: usize, ) -> Pin<Box<dyn Future<Output = Layer3Result<Vec<RetrievalResult>>> + Send + 'async_trait>>

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

混合检索（向量 + 关键词）

fn hybrid_retrieve_with_config<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, query: &'life1 str, top_k: usize, config: &'life2 HybridSearchConfig, ) -> Pin<Box<dyn Future<Output = Layer3Result<Vec<RetrievalResult>>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait,

带配置的混合检索

fn delete<'life0, 'life1, 'async_trait>( &'life0 self, doc_ids: &'life1 [String], ) -> Pin<Box<dyn Future<Output = Layer3Result<bool>> + Send + 'async_trait>>

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

删除文档

fn clear<'life0, 'async_trait>( &'life0 self, ) -> Pin<Box<dyn Future<Output = Layer3Result<bool>> + Send + 'async_trait>>

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

清空索引

fn count<'life0, 'async_trait>( &'life0 self, ) -> Pin<Box<dyn Future<Output = Layer3Result<usize>> + Send + 'async_trait>>

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

获取文档数量

fn retrieve_with_filter<'life0, 'life1, 'async_trait>( &'life0 self, query: &'life1 str, top_k: usize, filter: Option<MetadataFilter>, ) -> Pin<Box<dyn Future<Output = Layer3Result<Vec<RetrievalResult>>> + Send + 'async_trait>>

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

带过滤条件的检索