interface VectorSearchBedrockRerankingModelConfigurationProperty
| Language | Type name |
|---|---|
.NET | Amazon.CDK.Mixins.Preview.AWS.Bedrock.Mixins.CfnFlowVersionPropsMixin.VectorSearchBedrockRerankingModelConfigurationProperty |
Go | github.com/aws/aws-cdk-go/awscdkmixinspreview/v2/awsbedrock/mixins#CfnFlowVersionPropsMixin_VectorSearchBedrockRerankingModelConfigurationProperty |
Java | software.amazon.awscdk.mixins.preview.services.bedrock.mixins.CfnFlowVersionPropsMixin.VectorSearchBedrockRerankingModelConfigurationProperty |
Python | aws_cdk.mixins_preview.aws_bedrock.mixins.CfnFlowVersionPropsMixin.VectorSearchBedrockRerankingModelConfigurationProperty |
TypeScript | @aws-cdk/mixins-preview » aws_bedrock » mixins » CfnFlowVersionPropsMixin » VectorSearchBedrockRerankingModelConfigurationProperty |
Configuration for the Amazon Bedrock foundation model used for reranking vector search results.
This specifies which model to use and any additional parameters required by the model.
Example
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { mixins as bedrock_mixins } from '@aws-cdk/mixins-preview/aws-bedrock';
declare const additionalModelRequestFields: any;
const vectorSearchBedrockRerankingModelConfigurationProperty: bedrock_mixins.CfnFlowVersionPropsMixin.VectorSearchBedrockRerankingModelConfigurationProperty = {
additionalModelRequestFields: additionalModelRequestFields,
modelArn: 'modelArn',
};
Properties
| Name | Type | Description |
|---|---|---|
| additional | any | A list of additional fields to include in the model request during reranking. |
| model | string | The Amazon Resource Name (ARN) of the foundation model to use for reranking. |
additionalModelRequestFields?
Type:
any
(optional)
A list of additional fields to include in the model request during reranking.
These fields provide extra context or configuration options specific to the selected foundation model.
modelArn?
Type:
string
(optional)
The Amazon Resource Name (ARN) of the foundation model to use for reranking.
This model processes the query and search results to determine a more relevant ordering.

.NET
Go
Java
Python
TypeScript