Class: Aws::BedrockAgentRuntime::Types::KnowledgeBaseVectorSearchConfiguration
- Inherits:
-
Struct
- Object
- Struct
- Aws::BedrockAgentRuntime::Types::KnowledgeBaseVectorSearchConfiguration
- Defined in:
- gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb
Overview
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
fieldRetrieveAndGenerate request – in the
vectorSearchConfiguration
field
Constant Summary collapse
- SENSITIVE =
[:filter]
Instance Attribute Summary collapse
-
#filter ⇒ Types::RetrievalFilter
Specifies the filters to use on the metadata in the knowledge base data sources before returning results.
-
#implicit_filter_configuration ⇒ Types::ImplicitFilterConfiguration
Settings for implicit filtering.
-
#number_of_results ⇒ Integer
The number of source chunks to retrieve.
-
#override_search_type ⇒ String
By default, Amazon Bedrock decides a search strategy for you.
-
#reranking_configuration ⇒ Types::VectorSearchRerankingConfiguration
Contains configurations for reranking the retrieved results.
Instance Attribute Details
#filter ⇒ Types::RetrievalFilter
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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# File 'gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb', line 3370 class KnowledgeBaseVectorSearchConfiguration < Struct.new( :filter, :implicit_filter_configuration, :number_of_results, :override_search_type, :reranking_configuration) SENSITIVE = [:filter] include Aws::Structure end |
#implicit_filter_configuration ⇒ Types::ImplicitFilterConfiguration
Settings for implicit filtering.
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# File 'gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb', line 3370 class KnowledgeBaseVectorSearchConfiguration < Struct.new( :filter, :implicit_filter_configuration, :number_of_results, :override_search_type, :reranking_configuration) SENSITIVE = [:filter] include Aws::Structure end |
#number_of_results ⇒ Integer
The number of source chunks to retrieve.
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# File 'gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb', line 3370 class KnowledgeBaseVectorSearchConfiguration < Struct.new( :filter, :implicit_filter_configuration, :number_of_results, :override_search_type, :reranking_configuration) SENSITIVE = [:filter] include Aws::Structure end |
#override_search_type ⇒ String
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. For more information, see Test a knowledge
base.
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# File 'gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb', line 3370 class KnowledgeBaseVectorSearchConfiguration < Struct.new( :filter, :implicit_filter_configuration, :number_of_results, :override_search_type, :reranking_configuration) SENSITIVE = [:filter] include Aws::Structure end |
#reranking_configuration ⇒ Types::VectorSearchRerankingConfiguration
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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# File 'gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb', line 3370 class KnowledgeBaseVectorSearchConfiguration < Struct.new( :filter, :implicit_filter_configuration, :number_of_results, :override_search_type, :reranking_configuration) SENSITIVE = [:filter] include Aws::Structure end |