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章节导航

基础包

  • 核心
  • Langchain
  • 文本分割器
  • Community
    • adapters
    • agent_toolkits
    • agents
    • cache
    • callbacks
    • chains
    • chat_loaders
    • chat_message_histories
    • chat_models
    • cross_encoders
    • docstore
    • document_compressors
    • document_loaders
    • document_transformers
    • embeddings
    • example_selectors
    • graph_vectorstores
    • graphs
    • indexes
    • llms
    • memory
    • output_parsers
    • query_constructors
    • retrievers
      • ArceeRetriever
      • ArxivRetriever
      • AskNewsRetriever
      • AzureAISearchRetriever
      • AzureCognitiveSearchRetriever
      • AmazonKnowledgeBasesRetriever
      • RetrievalConfig
      • VectorSearchConfig
      • BM25Retriever
      • BreebsRetriever
      • ChaindeskRetriever
      • ChatGPTPluginRetriever
      • DataberryRetriever
      • DocArrayRetriever
      • SearchType
      • DriaRetriever
      • ElasticSearchBM25Retriever
      • EmbedchainRetriever
      • GoogleCloudEnterpriseSearchRetriever
      • KayAiRetriever
      • AdditionalResultAttribute
      • AdditionalResultAttributeValue
      • AmazonKendraRetriever
      • DocumentAttribute
      • DocumentAttributeValue
      • Highlight
      • QueryResult
      • QueryResultItem
      • ResultItem
      • RetrieveResult
      • RetrieveResultItem
      • TextWithHighLights
      • KNNRetriever
      • LlamaIndexGraphRetriever
      • LlamaIndexRetriever
      • MetalRetriever
      • MilvusRetriever
      • NanoPQRetriever
      • NeedleRetriever
      • OutlineRetriever
      • PineconeHybridSearchRetriever
      • PubMedRetriever
      • RememberizerRetriever
      • RemoteLangChainRetriever
      • SVMRetriever
      • SearchDepth
      • TavilySearchAPIRetriever
      • TFIDFRetriever
      • NeuralDBRetriever
      • VespaRetriever
      • WeaviateHybridSearchRetriever
      • QuestionListOutputParser
      • SearchQueries
      • WebResearchRetriever
      • WikipediaRetriever
      • YouRetriever
      • SearchScope
      • SearchType
      • ZepRetriever
      • ZepCloudRetriever
      • ZillizRetriever
      • default_preprocessing_func
      • clean_excerpt
      • combined_text
      • create_index
      • MilvusRetreiver
      • create_index
      • create_index
      • hash_text
      • create_index
      • ZillizRetreiver
      • CohereRagRetriever
      • GoogleDocumentAIWarehouseRetriever
      • GoogleVertexAIMultiTurnSearchRetriever
      • GoogleVertexAISearchRetriever
      • QdrantSparseVectorRetriever
    • storage
    • tools
    • utilities
    • utils
    • vectorstores
  • 实验性

集成

  • AI21
  • Anthropic
  • AstraDB
  • AWS
  • Azure 动态会话
  • Cerebras
  • Chroma
  • Cohere
  • Couchbase
  • Databricks
  • Elasticsearch
  • Exa
  • Fireworks
  • Google 社区
  • Google GenAI
  • Google VertexAI
  • Groq
  • Huggingface
  • IBM
  • Milvus
  • MistralAI
  • Neo4J
  • Nomic
  • Nvidia AI 端点
  • Ollama
  • OpenAI
  • Pinecone
  • Postgres
  • Prompty
  • Qdrant
  • Redis
  • Sema4
  • Snowflake
  • Sqlserver
  • 标准测试
  • Together
  • 非结构化
  • Upstage
  • VoyageAI
  • Weaviate
  • XAI
  • LangChain Python API 参考
  • langchain-community: 0.3.14
  • retrievers
  • 搜索类型

搜索类型#

class langchain_community.retrievers.docarray.SearchType(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[来源]#

执行搜索类型的枚举器。

similarity = 'similarity'#
mmr = 'mmr'#

使用 SearchType 的示例

  • Docugami

  • 如何为每个文档使用多个向量进行检索

  • Zep 开源

On this page
  • SearchType
    • similarity
    • mmr

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