AWS::Bedrock::KnowledgeBase BedrockEmbeddingModelConfiguration - AWS CloudFormation

AWS::Bedrock::KnowledgeBase BedrockEmbeddingModelConfiguration

The vector configuration details for the Bedrock embeddings model.

Syntax

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

JSON

{ "Dimensions" : Integer, "EmbeddingDataType" : String }

YAML

Dimensions: Integer EmbeddingDataType: String

Properties

Dimensions

The dimensions details for the vector configuration used on the Bedrock embeddings model.

Required: No

Type: Integer

Minimum: 0

Maximum: 4096

Update requires: Replacement

EmbeddingDataType

The data type for the vectors when using a model to convert text into vector embeddings. The model must support the specified data type for vector embeddings. Floating-point (float32) is the default data type, and is supported by most models for vector embeddings. See Supported embeddings models for information on the available models and their vector data types.

Required: No

Type: String

Allowed values: FLOAT32 | BINARY

Update requires: Replacement