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:
