Interface KnowledgeBaseVectorSearchConfiguration.Builder

  • Method Details

    • numberOfResults

      KnowledgeBaseVectorSearchConfiguration.Builder numberOfResults(Integer numberOfResults)

      The number of text chunks to retrieve; the number of results to return.

      Parameters:
      numberOfResults - The number of text chunks to retrieve; the number of results to return.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • overrideSearchType

      KnowledgeBaseVectorSearchConfiguration.Builder overrideSearchType(String overrideSearchType)

      By default, Amazon Bedrock decides a search strategy for you. If you're using an Amazon OpenSearch Serverless vector store that contains a filterable text field, you can specify whether to query the knowledge base with a HYBRID search using both vector embeddings and raw text, or SEMANTIC search using only vector embeddings. For other vector store configurations, only SEMANTIC search is available.

      Parameters:
      overrideSearchType - By default, Amazon Bedrock decides a search strategy for you. If you're using an Amazon OpenSearch Serverless vector store that contains a filterable text field, you can specify whether to query the knowledge base with a HYBRID search using both vector embeddings and raw text, or SEMANTIC search using only vector embeddings. For other vector store configurations, only SEMANTIC search is available.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:
    • overrideSearchType

      KnowledgeBaseVectorSearchConfiguration.Builder overrideSearchType(SearchType overrideSearchType)

      By default, Amazon Bedrock decides a search strategy for you. If you're using an Amazon OpenSearch Serverless vector store that contains a filterable text field, you can specify whether to query the knowledge base with a HYBRID search using both vector embeddings and raw text, or SEMANTIC search using only vector embeddings. For other vector store configurations, only SEMANTIC search is available.

      Parameters:
      overrideSearchType - By default, Amazon Bedrock decides a search strategy for you. If you're using an Amazon OpenSearch Serverless vector store that contains a filterable text field, you can specify whether to query the knowledge base with a HYBRID search using both vector embeddings and raw text, or SEMANTIC search using only vector embeddings. For other vector store configurations, only SEMANTIC search is available.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:
    • filter

      Specifies the filters to use on the metadata fields in the knowledge base data sources before returning results.

      Parameters:
      filter - Specifies the filters to use on the metadata fields in the knowledge base data sources before returning results.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • filter

      Specifies the filters to use on the metadata fields in the knowledge base data sources before returning results.

      This is a convenience method that creates an instance of the RetrievalFilter.Builder avoiding the need to create one manually via RetrievalFilter.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to filter(RetrievalFilter).

      Parameters:
      filter - a consumer that will call methods on RetrievalFilter.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also: