Class: Aws::BedrockAgent::Types::VectorKnowledgeBaseConfiguration

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

Overview

Contains details about the model used to create vector embeddings for the knowledge base.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#embedding_model_arn ⇒ String

The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base.

Returns:

  • (String) 


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# File 'lib/aws-sdk-bedrockagent/types.rb', line 11943

class VectorKnowledgeBaseConfiguration < Struct.new(
  :embedding_model_arn,
  :embedding_model_configuration,
  :supplemental_data_storage_configuration)
  SENSITIVE = []
  include Aws::Structure
end

#embedding_model_configuration ⇒ Types::EmbeddingModelConfiguration

The embeddings model configuration details for the vector model used in Knowledge Base.

Returns:



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# File 'lib/aws-sdk-bedrockagent/types.rb', line 11943

class VectorKnowledgeBaseConfiguration < Struct.new(
  :embedding_model_arn,
  :embedding_model_configuration,
  :supplemental_data_storage_configuration)
  SENSITIVE = []
  include Aws::Structure
end

#supplemental_data_storage_configuration ⇒ Types::SupplementalDataStorageConfiguration

If you include multimodal data from your data source, use this object to specify configurations for the storage location of the images extracted from your documents. These images can be retrieved and returned to the end user. They can also be used in generation when using [RetrieveAndGenerate].

[1]: docs.aws.amazon.com/bedrock/latest/APIReference/API_agent-runtime_RetrieveAndGenerate.html

Returns:



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# File 'lib/aws-sdk-bedrockagent/types.rb', line 11943

class VectorKnowledgeBaseConfiguration < Struct.new(
  :embedding_model_arn,
  :embedding_model_configuration,
  :supplemental_data_storage_configuration)
  SENSITIVE = []
  include Aws::Structure
end