AWS::Bedrock::KnowledgeBase VectorKnowledgeBaseConfiguration - Amazon CloudFormation
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AWS::Bedrock::KnowledgeBase VectorKnowledgeBaseConfiguration

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

Syntax

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

JSON

{ "EmbeddingModelArn" : String }

YAML

EmbeddingModelArn: String

Properties

EmbeddingModelArn

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

Required: Yes

Type: String

Pattern: ^(arn:aws(-[^:]+)?:bedrock:[a-z0-9-]{1,20}:(([0-9]{12}:custom-model/[a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}/[a-z0-9]{12})|(:foundation-model/[a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}([.:]?[a-z0-9-]{1,63}))|([0-9]{12}:provisioned-model/[a-z0-9]{12})))|([a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}([.:]?[a-z0-9-]{1,63}))|(([0-9a-zA-Z][_-]?)+)$

Minimum: 20

Maximum: 2048

Update requires: Replacement