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:
-
Retrieve request – in the
vectorSearchConfiguration
field -
RetrieveAndGenerate request – in the
vectorSearchConfiguration
field
- See Also:
-
Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionbuilder()
final boolean
final boolean
equalsBySdkFields
(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final RetrievalFilter
filter()
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 int
hashCode()
final Integer
The number of source chunks to retrieve.final SearchType
By default, Amazon Bedrock decides a search strategy for you.final String
By default, Amazon Bedrock decides a search strategy for you.static Class
<? extends KnowledgeBaseVectorSearchConfiguration.Builder> Take this object and create a builder that contains all of the current property values of this object.final String
toString()
Returns a string representation of this object.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
-
Method Details
-
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.
-
numberOfResults
The number of source chunks to retrieve.
- Returns:
- The number of source chunks to retrieve.
-
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, orSEMANTIC
search using only vector embeddings. For other vector store configurations, onlySEMANTIC
search 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,
overrideSearchType
will 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
HYBRID
search using both vector embeddings and raw text, orSEMANTIC
search using only vector embeddings. For other vector store configurations, onlySEMANTIC
search is available. For more information, see Test a knowledge base. - See Also:
-
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, orSEMANTIC
search using only vector embeddings. For other vector store configurations, onlySEMANTIC
search 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,
overrideSearchType
will 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
HYBRID
search using both vector embeddings and raw text, orSEMANTIC
search using only vector embeddings. For other vector store configurations, onlySEMANTIC
search is available. For more information, see Test a knowledge base. - See Also:
-
toBuilder
Description copied from interface:ToCopyableBuilder
Take this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilder
in interfaceToCopyableBuilder<KnowledgeBaseVectorSearchConfiguration.Builder,
KnowledgeBaseVectorSearchConfiguration> - Returns:
- a builder for type T
-
builder
-
serializableBuilderClass
public static Class<? extends KnowledgeBaseVectorSearchConfiguration.Builder> serializableBuilderClass() -
hashCode
public final int hashCode() -
equals
-
equalsBySdkFields
Description copied from interface:SdkPojo
Indicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojo
class, and is generated based on a service model.If an
SdkPojo
class does not have any inherited fields,equalsBySdkFields
andequals
are essentially the same.- Specified by:
equalsBySdkFields
in interfaceSdkPojo
- Parameters:
obj
- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
-
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. -
getValueForField
-
sdkFields
-