RdsFieldMapping
Contains the names of the fields to which to map information about the vector store.
Contents
- metadataField
- 
               The name of the field in which Amazon Bedrock stores metadata about the vector store. Type: String Length Constraints: Minimum length of 0. Maximum length of 63. Pattern: [a-zA-Z0-9_\-]+Required: Yes 
- primaryKeyField
- 
               The name of the field in which Amazon Bedrock stores the ID for each entry. Type: String Length Constraints: Minimum length of 0. Maximum length of 63. Pattern: [a-zA-Z0-9_\-]+Required: Yes 
- textField
- 
               The name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose. Type: String Length Constraints: Minimum length of 0. Maximum length of 63. Pattern: [a-zA-Z0-9_\-]+Required: Yes 
- vectorField
- 
               The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources. Type: String Length Constraints: Minimum length of 0. Maximum length of 63. Pattern: [a-zA-Z0-9_\-]+Required: Yes 
- customMetadataField
- 
               Provide a name for the universal metadata field where Amazon Bedrock will store any custom metadata from your data source. Type: String Length Constraints: Minimum length of 0. Maximum length of 63. Pattern: [a-zA-Z0-9_\-]+Required: No 
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: