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 or inference profile used to create vector embeddings for the knowledge base.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
^(arn:aws(-[^:]{1,12})?:(bedrock|sagemaker):[a-z0-9-]{1,20}:([0-9]{12})?:([a-z-]+/)?)?([a-zA-Z0-9.-]{1,63}){0,2}(([:][a-z0-9-]{1,63}){0,2})?(/[a-z0-9]{1,12})?$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:
