start_ingestion_job¶
Operation¶
start_ingestion_job
async
¶
start_ingestion_job(input: StartIngestionJobInput, plugins: list[Plugin] | None = None) -> StartIngestionJobOutput
Begins a data ingestion job. Data sources are ingested into your knowledge base so that Large Language Models (LLMs) can use your data.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
input
|
StartIngestionJobInput
|
An instance of |
required |
plugins
|
list[Plugin] | None
|
A list of callables that modify the configuration dynamically. Changes made by these plugins only apply for the duration of the operation execution and will not affect any other operation invocations. |
None
|
Returns:
| Type | Description |
|---|---|
StartIngestionJobOutput
|
An instance of |
Input¶
StartIngestionJobInput
dataclass
¶
Dataclass for StartIngestionJobInput structure.
Attributes¶
client_token
class-attribute
instance-attribute
¶
client_token: str | None = None
A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.
data_source_id
class-attribute
instance-attribute
¶
data_source_id: str | None = None
The unique identifier of the data source you want to ingest into your knowledge base.
description
class-attribute
instance-attribute
¶
description: str | None = None
A description of the data ingestion job.
knowledge_base_id
class-attribute
instance-attribute
¶
knowledge_base_id: str | None = None
The unique identifier of the knowledge base for the data ingestion job.
Output¶
StartIngestionJobOutput
dataclass
¶
Dataclass for StartIngestionJobOutput structure.
Attributes¶
ingestion_job
instance-attribute
¶
ingestion_job: IngestionJob
Contains information about the data ingestion job.