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 4398

class KnowledgeBaseVectorSearchConfiguration < Struct.new(
  :number_of_results,
  :override_search_type,
  :filter)
  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 4398

class KnowledgeBaseVectorSearchConfiguration < Struct.new(
  :number_of_results,
  :override_search_type,
  :filter)
  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 4398

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