VectorKnowledgeBaseConfiguration - Amazon Bedrock

VectorKnowledgeBaseConfiguration

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

Contents

embeddingModelArn

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

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

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][_-]?)+)$

Required: Yes

embeddingModelConfiguration

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

Type: EmbeddingModelConfiguration object

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: