Class KnowledgeBaseVectorSearchConfiguration
- All Implemented Interfaces:
Serializable,SdkPojo,ToCopyableBuilder<KnowledgeBaseVectorSearchConfiguration.Builder,KnowledgeBaseVectorSearchConfiguration>
The configuration details for returning the results from the knowledge base vector search.
- See Also:
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionbuilder()final booleanfinal booleanequalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final RetrievalFilterfilter()Specifies the filters to use on the metadata fields in the knowledge base data sources before returning results.final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) final inthashCode()Configuration for implicit filtering in Knowledge Base vector searches.final IntegerThe number of text chunks to retrieve; the number of results to return.final SearchTypeBy default, Amazon Bedrock decides a search strategy for you.final StringBy default, Amazon Bedrock decides a search strategy for you.Configuration for reranking search results in Knowledge Base vector searches.static Class<? extends KnowledgeBaseVectorSearchConfiguration.Builder> Take this object and create a builder that contains all of the current property values of this object.final StringtoString()Returns a string representation of this object.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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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.
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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
HYBRIDsearch using both vector embeddings and raw text, orSEMANTICsearch using only vector embeddings. For other vector store configurations, onlySEMANTICsearch is available.If the service returns an enum value that is not available in the current SDK version,
overrideSearchTypewill returnSearchType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromoverrideSearchTypeAsString().- 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
HYBRIDsearch using both vector embeddings and raw text, orSEMANTICsearch using only vector embeddings. For other vector store configurations, onlySEMANTICsearch is available. - See Also:
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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
HYBRIDsearch using both vector embeddings and raw text, orSEMANTICsearch using only vector embeddings. For other vector store configurations, onlySEMANTICsearch is available.If the service returns an enum value that is not available in the current SDK version,
overrideSearchTypewill returnSearchType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromoverrideSearchTypeAsString().- 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
HYBRIDsearch using both vector embeddings and raw text, orSEMANTICsearch using only vector embeddings. For other vector store configurations, onlySEMANTICsearch is available. - See Also:
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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.
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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.
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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.
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toBuilder
Description copied from interface:ToCopyableBuilderTake this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilderin interfaceToCopyableBuilder<KnowledgeBaseVectorSearchConfiguration.Builder,KnowledgeBaseVectorSearchConfiguration> - Returns:
- a builder for type T
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builder
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serializableBuilderClass
public static Class<? extends KnowledgeBaseVectorSearchConfiguration.Builder> serializableBuilderClass() -
hashCode
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equals
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equalsBySdkFields
Description copied from interface:SdkPojoIndicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojoclass, and is generated based on a service model.If an
SdkPojoclass does not have any inherited fields,equalsBySdkFieldsandequalsare essentially the same.- Specified by:
equalsBySdkFieldsin interfaceSdkPojo- Parameters:
obj- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
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getValueForField
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sdkFields
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sdkFieldNameToField
- Specified by:
sdkFieldNameToFieldin interfaceSdkPojo- Returns:
- The mapping between the field name and its corresponding field.
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