primaryKeyFieldstringprimary_key_fieldstrprimaryKeyFieldStringPrimaryKeyFieldstringPrimaryKeyField*stringrequired#The name of the field in which Amazon Bedrock stores the ID for each entry.
RdsFieldMappingProperty Struct
Contains the names of the fields to which to map information about the vector store.
Example
ts
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_bedrock as bedrock } from 'aws-cdk-lib';
const rdsFieldMappingProperty: bedrock.CfnKnowledgeBase.RdsFieldMappingProperty = {
metadataField: 'metadataField',
primaryKeyField: 'primaryKeyField',
textField: 'textField',
vectorField: 'vectorField',
// the properties below are optional
customMetadataField: 'customMetadataField',
};
Properties
customMetadataFieldoptionalstringcustom_metadata_fieldoptionalstrcustomMetadataFieldoptionalStringCustomMetadataFieldoptionalstringCustomMetadataFieldoptional*string#Provide a name for the universal metadata field where Amazon Bedrock will store any custom metadata from your data source.
metadataFieldstringmetadata_fieldstrmetadataFieldStringMetadataFieldstringMetadataField*stringrequired#The name of the field in which Amazon Bedrock stores metadata about the vector store.
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.
The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.