Class: Aws::Bedrock::Types::KnowledgeBaseVectorSearchConfiguration

Inherits:
Struct
  • Object
show all
Includes:
Structure
Defined in:
lib/aws-sdk-bedrock/types.rb

Overview

The configuration details for returning the results from the knowledge base vector search.

See Also:

Constant Summary collapse

SENSITIVE = 
[:filter]

Instance Attribute Summary collapse

Instance Attribute Details

#filter ⇒ Types::RetrievalFilter

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

Returns:



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# File 'lib/aws-sdk-bedrock/types.rb', line 10063

class KnowledgeBaseVectorSearchConfiguration < Struct.new(
  :number_of_results,
  :override_search_type,
  :filter,
  :implicit_filter_configuration,
  :reranking_configuration)
  SENSITIVE = [:filter]
  include Aws::Structure
end

#implicit_filter_configuration ⇒ Types::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:



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# File 'lib/aws-sdk-bedrock/types.rb', line 10063

class KnowledgeBaseVectorSearchConfiguration < Struct.new(
  :number_of_results,
  :override_search_type,
  :filter,
  :implicit_filter_configuration,
  :reranking_configuration)
  SENSITIVE = [:filter]
  include Aws::Structure
end

#number_of_results ⇒ Integer

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

Returns:

  • (Integer) 


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# File 'lib/aws-sdk-bedrock/types.rb', line 10063

class KnowledgeBaseVectorSearchConfiguration < Struct.new(
  :number_of_results,
  :override_search_type,
  :filter,
  :implicit_filter_configuration,
  :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.

Returns:

  • (String) 


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# File 'lib/aws-sdk-bedrock/types.rb', line 10063

class KnowledgeBaseVectorSearchConfiguration < Struct.new(
  :number_of_results,
  :override_search_type,
  :filter,
  :implicit_filter_configuration,
  :reranking_configuration)
  SENSITIVE = [:filter]
  include Aws::Structure
end

#reranking_configuration ⇒ Types::VectorSearchRerankingConfiguration

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:



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10065
10066
10067
10068
10069
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10071
 
# File 'lib/aws-sdk-bedrock/types.rb', line 10063

class KnowledgeBaseVectorSearchConfiguration < Struct.new(
  :number_of_results,
  :override_search_type,
  :filter,
  :implicit_filter_configuration,
  :reranking_configuration)
  SENSITIVE = [:filter]
  include Aws::Structure
end