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 AWS CloudFormation template, use the following syntax:

JSON

{
  "EmbeddingModelArn" : String,
  "EmbeddingModelConfiguration" : EmbeddingModelConfiguration
}

YAML

  EmbeddingModelArn: String
  EmbeddingModelConfiguration: 
    EmbeddingModelConfiguration

Properties

EmbeddingModelArn

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

Required: Yes

Type: String

Pattern: ^(arn:aws(-[^:]+)?:[a-z0-9-]+:[a-z0-9-]{1,20}:[0-9]{0,12}:[a-zA-Z0-9-:/._+]+)$

Minimum: 20

Maximum: 2048

Update requires: Replacement

EmbeddingModelConfiguration

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

Required: No

Type: EmbeddingModelConfiguration

Update requires: Replacement