Class KnowledgeBaseVectorSearchConfiguration
- All Implemented Interfaces:
Serializable,SdkPojo,ToCopyableBuilder<KnowledgeBaseVectorSearchConfiguration.Builder,KnowledgeBaseVectorSearchConfiguration>
Configurations for how to perform the search query and return results. For more information, see Query configurations.
This data type is used in the following API operations:
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Retrieve request – in the
vectorSearchConfigurationfield -
RetrieveAndGenerate request – in the
vectorSearchConfigurationfield
- 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 in the knowledge base data sources before returning results.final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) final inthashCode()Settings for implicit filtering.final IntegerThe number of source chunks to retrieve.final SearchTypeBy default, Amazon Bedrock decides a search strategy for you.final StringBy default, Amazon Bedrock decides a search strategy for you.Contains configurations for reranking the retrieved results.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 source chunks to retrieve.
- Returns:
- The number of source chunks to retrieve.
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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. For more information, see Test a knowledge base.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. For more information, see Test a knowledge base. - 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. For more information, see Test a knowledge base.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. For more information, see Test a knowledge base. - See Also:
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filter
Specifies the filters to use on the metadata in the knowledge base data sources before returning results. For more information, see Query configurations.
- Returns:
- Specifies the filters to use on the metadata in the knowledge base data sources before returning results. For more information, see Query configurations.
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rerankingConfiguration
Contains configurations for reranking the retrieved results. For more information, see Improve the relevance of query responses with a reranker model.
- Returns:
- Contains configurations for reranking the retrieved results. For more information, see Improve the relevance of query responses with a reranker model.
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implicitFilterConfiguration
Settings for implicit filtering.
- Returns:
- Settings for implicit filtering.
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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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