KnowledgeBaseData
¶
Source code in docs_src/capo_qconnect/types/knowledge_base_data.py
ingestion_failure_reasons
instance-attribute
¶
ingestion_failure_reasons: NotRequired[FailureReason]
List of failure reasons on ingestion per file.
ingestion_status
instance-attribute
¶
ingestion_status: NotRequired[SyncStatus]
Status of ingestion on data source.
knowledge_base_arn
instance-attribute
¶
knowledge_base_arn: Arn
The Amazon Resource Name (ARN) of the knowledge base.
knowledge_base_id
instance-attribute
¶
knowledge_base_id: Uuid
The identifier of the knowledge base.
knowledge_base_type
instance-attribute
¶
knowledge_base_type: KnowledgeBaseType
The type of knowledge base.
last_content_modification_time
instance-attribute
¶
last_content_modification_time: NotRequired[datetime]
An epoch timestamp indicating the most recent content modification inside the knowledge base. If no content exists in a knowledge base, this value is unset.
rendering_configuration
instance-attribute
¶
rendering_configuration: NotRequired[RenderingConfiguration]
Information about how to render the content.
server_side_encryption_configuration
instance-attribute
¶
server_side_encryption_configuration: NotRequired[ServerSideEncryptionConfiguration]
The configuration information for the customer managed key used for encryption.
This KMS key must have a policy that allows kms:CreateGrant, kms:DescribeKey, kms:Decrypt, and kms:GenerateDataKey* permissions to the IAM identity using the key to invoke Amazon Q in Connect.
For more information about setting up a customer managed key for Amazon Q in Connect, see Enable Amazon Q in Connect for your instance.
source_configuration
instance-attribute
¶
source_configuration: NotRequired[SourceConfiguration]
Source configuration information about the knowledge base.
tags
instance-attribute
¶
tags: NotRequired[Tags]
The tags used to organize, track, or control access for this resource.
vector_ingestion_configuration
instance-attribute
¶
vector_ingestion_configuration: NotRequired[VectorIngestionConfiguration]
Contains details about how to ingest the documents in a data source.