Class KnowledgeBaseVectorSearchConfiguration

    • Method Detail

      • numberOfResults

        public final Integer numberOfResults()

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

        Returns:
        The number of text chunks to retrieve; the number of results to return.
      • overrideSearchType

        public final 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.

        If the service returns an enum value that is not available in the current SDK version, overrideSearchType will return SearchType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from overrideSearchTypeAsString().

        Returns:
        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.
        See Also:
        SearchType
      • overrideSearchTypeAsString

        public final String overrideSearchTypeAsString()

        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.

        If the service returns an enum value that is not available in the current SDK version, overrideSearchType will return SearchType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from overrideSearchTypeAsString().

        Returns:
        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.
        See Also:
        SearchType
      • filter

        public final RetrievalFilter filter()

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

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

        public final ImplicitFilterConfiguration implicitFilterConfiguration()

        Configuration for implicit filtering in Knowledge Base vector searches. This allows the system to automatically apply filters based on the query context without requiring explicit filter expressions.

        Returns:
        Configuration for implicit filtering in Knowledge Base vector searches. This allows the system to automatically apply filters based on the query context without requiring explicit filter expressions.
      • rerankingConfiguration

        public final VectorSearchRerankingConfiguration rerankingConfiguration()

        Configuration for reranking search results in Knowledge Base vector searches. Reranking improves search relevance by reordering initial vector search results using more sophisticated relevance models.

        Returns:
        Configuration for reranking search results in Knowledge Base vector searches. Reranking improves search relevance by reordering initial vector search results using more sophisticated relevance models.
      • hashCode

        public final int hashCode()
        Overrides:
        hashCode in class Object
      • equals

        public final boolean equals​(Object obj)
        Overrides:
        equals in class Object
      • toString

        public final String toString()
        Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
        Overrides:
        toString in class Object
      • getValueForField

        public final <T> Optional<T> getValueForField​(String fieldName,
                                                      Class<T> clazz)