AWS::Bedrock::KnowledgeBase RdsConfiguration - Amazon CloudFormation
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AWS::Bedrock::KnowledgeBase RdsConfiguration

Contains details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS.

Syntax

To declare this entity in your Amazon CloudFormation template, use the following syntax:

JSON

{ "CredentialsSecretArn" : String, "DatabaseName" : String, "FieldMapping" : RdsFieldMapping, "ResourceArn" : String, "TableName" : String }

Properties

CredentialsSecretArn

The Amazon Resource Name (ARN) of the secret that you created in Amazon Secrets Manager that is linked to your Amazon RDS database.

Required: Yes

Type: String

Pattern: ^arn:aws(|-cn|-us-gov):secretsmanager:[a-z0-9-]{1,20}:([0-9]{12}|):secret:[a-zA-Z0-9!/_+=.@-]{1,512}$

Update requires: Replacement

DatabaseName

The name of your Amazon RDS database.

Required: Yes

Type: String

Pattern: ^[a-zA-Z0-9_\-]+$

Maximum: 63

Update requires: Replacement

FieldMapping

Contains the names of the fields to which to map information about the vector store.

Required: Yes

Type: RdsFieldMapping

Update requires: Replacement

ResourceArn

The Amazon Resource Name (ARN) of the vector store.

Required: Yes

Type: String

Pattern: ^arn:aws(|-cn|-us-gov):rds:[a-zA-Z0-9-]*:[0-9]{12}:cluster:[a-zA-Z0-9-]{1,63}$

Update requires: Replacement

TableName

The name of the table in the database.

Required: Yes

Type: String

Pattern: ^[a-zA-Z0-9_\.\-]+$

Maximum: 63

Update requires: Replacement