AgentsforBedrock / Client / list_knowledge_base_documents
list_knowledge_base_documents#
- AgentsforBedrock.Client.list_knowledge_base_documents(**kwargs)#
Retrieves all the documents contained in a data source that is connected to a knowledge base. For more information, see Ingest documents into a knowledge base in real-time in the Amazon Bedrock User Guide.
See also: AWS API Documentation
Request Syntax
response = client.list_knowledge_base_documents( dataSourceId='string', knowledgeBaseId='string', maxResults=123, nextToken='string' )
- Parameters:
dataSourceId (string) –
[REQUIRED]
The unique identifier of the data source that contains the documents.
knowledgeBaseId (string) –
[REQUIRED]
The unique identifier of the knowledge base that is connected to the data source.
maxResults (integer) – The maximum number of results to return in the response. If the total number of results is greater than this value, use the token returned in the response in the
nextToken
field when making another request to return the next batch of results.nextToken (string) – If the total number of results is greater than the
maxResults
value provided in the request, enter the token returned in thenextToken
field in the response in this field to return the next batch of results.
- Return type:
dict
- Returns:
Response Syntax
{ 'documentDetails': [ { 'dataSourceId': 'string', 'identifier': { 'custom': { 'id': 'string' }, 'dataSourceType': 'CUSTOM'|'S3', 's3': { 'uri': 'string' } }, 'knowledgeBaseId': 'string', 'status': 'INDEXED'|'PARTIALLY_INDEXED'|'PENDING'|'FAILED'|'METADATA_PARTIALLY_INDEXED'|'METADATA_UPDATE_FAILED'|'IGNORED'|'NOT_FOUND'|'STARTING'|'IN_PROGRESS'|'DELETING'|'DELETE_IN_PROGRESS', 'statusReason': 'string', 'updatedAt': datetime(2015, 1, 1) }, ], 'nextToken': 'string' }
Response Structure
(dict) –
documentDetails (list) –
A list of objects, each of which contains information about the documents that were retrieved.
(dict) –
Contains the details for a document that was ingested or deleted.
dataSourceId (string) –
The identifier of the data source connected to the knowledge base that the document was ingested into or deleted from.
identifier (dict) –
Contains information that identifies the document.
custom (dict) –
Contains information that identifies the document in a custom data source.
id (string) –
The identifier of the document to ingest into a custom data source.
dataSourceType (string) –
The type of data source connected to the knowledge base that contains the document.
s3 (dict) –
Contains information that identifies the document in an S3 data source.
uri (string) –
The location’s URI. For example,
s3://my-bucket/chunk-processor/
.
knowledgeBaseId (string) –
The identifier of the knowledge base that the document was ingested into or deleted from.
status (string) –
The ingestion status of the document. The following statuses are possible:
STARTED – You submitted the ingestion job containing the document.
PENDING – The document is waiting to be ingested.
IN_PROGRESS – The document is being ingested.
INDEXED – The document was successfully indexed.
PARTIALLY_INDEXED – The document was partially indexed.
METADATA_PARTIALLY_INDEXED – You submitted metadata for an existing document and it was partially indexed.
METADATA_UPDATE_FAILED – You submitted a metadata update for an existing document but it failed.
FAILED – The document failed to be ingested.
NOT_FOUND – The document wasn’t found.
IGNORED – The document was ignored during ingestion.
DELETING – You submitted the delete job containing the document.
DELETE_IN_PROGRESS – The document is being deleted.
statusReason (string) –
The reason for the status. Appears alongside the status
IGNORED
.updatedAt (datetime) –
The date and time at which the document was last updated.
nextToken (string) –
If the total number of results is greater than the
maxResults
value provided in the request, use this token when making another request in thenextToken
field to return the next batch of results.
Exceptions