2.233.0

interface BedrockFoundationModelContextEnrichmentConfigurationProperty

LanguageType name
.NETAmazon.CDK.Mixins.Preview.AWS.Bedrock.Mixins.CfnDataSourcePropsMixin.BedrockFoundationModelContextEnrichmentConfigurationProperty
Gogithub.com/aws/aws-cdk-go/awscdkmixinspreview/v2/awsbedrock/mixins#CfnDataSourcePropsMixin_BedrockFoundationModelContextEnrichmentConfigurationProperty
Javasoftware.amazon.awscdk.mixins.preview.services.bedrock.mixins.CfnDataSourcePropsMixin.BedrockFoundationModelContextEnrichmentConfigurationProperty
Pythonaws_cdk.mixins_preview.aws_bedrock.mixins.CfnDataSourcePropsMixin.BedrockFoundationModelContextEnrichmentConfigurationProperty
TypeScript @aws-cdk/mixins-preview » aws_bedrock » mixins » CfnDataSourcePropsMixin » BedrockFoundationModelContextEnrichmentConfigurationProperty

Context enrichment configuration is used to provide additional context to the RAG application using Amazon Bedrock foundation models.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-bedrock-datasource-bedrockfoundationmodelcontextenrichmentconfiguration.html

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';
const bedrockFoundationModelContextEnrichmentConfigurationProperty: bedrock_mixins.CfnDataSourcePropsMixin.BedrockFoundationModelContextEnrichmentConfigurationProperty = {
  enrichmentStrategyConfiguration: {
    method: 'method',
  },
  modelArn: 'modelArn',
};

Properties

NameTypeDescription
enrichmentStrategyConfiguration?IResolvable | EnrichmentStrategyConfigurationPropertyThe enrichment stategy used to provide additional context.
modelArn?stringThe Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base.

enrichmentStrategyConfiguration?

Type: IResolvable | EnrichmentStrategyConfigurationProperty (optional)

The enrichment stategy used to provide additional context.

For example, Neptune GraphRAG uses Amazon Bedrock foundation models to perform chunk entity extraction.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-bedrock-datasource-bedrockfoundationmodelcontextenrichmentconfiguration.html#cfn-bedrock-datasource-bedrockfoundationmodelcontextenrichmentconfiguration-enrichmentstrategyconfiguration

modelArn?

Type: string (optional)

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

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-bedrock-datasource-bedrockfoundationmodelcontextenrichmentconfiguration.html#cfn-bedrock-datasource-bedrockfoundationmodelcontextenrichmentconfiguration-modelarn

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