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ImportRagFilesConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)Config for importing RagFiles.
This message has oneof_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Attributes |
|
|---|---|
| Name | Description |
gcs_source |
google.cloud.aiplatform_v1beta1.types.GcsSource
Google Cloud Storage location. Supports importing individual files as well as entire Google Cloud Storage directories. Sample formats: - gs://bucket_name/my_directory/object_name/my_file.txt
- gs://bucket_name/my_directory
This field is a member of oneof_ import_source.
|
google_drive_source |
google.cloud.aiplatform_v1beta1.types.GoogleDriveSource
Google Drive location. Supports importing individual files as well as Google Drive folders. This field is a member of oneof_ import_source.
|
slack_source |
google.cloud.aiplatform_v1beta1.types.SlackSource
Slack channels with their corresponding access tokens. This field is a member of oneof_ import_source.
|
jira_source |
google.cloud.aiplatform_v1beta1.types.JiraSource
Jira queries with their corresponding authentication. This field is a member of oneof_ import_source.
|
share_point_sources |
google.cloud.aiplatform_v1beta1.types.SharePointSources
SharePoint sources. This field is a member of oneof_ import_source.
|
partial_failure_gcs_sink |
google.cloud.aiplatform_v1beta1.types.GcsDestination
The Cloud Storage path to write partial failures to. Deprecated. Prefer to use import_result_gcs_sink.
This field is a member of oneof_ partial_failure_sink.
|
partial_failure_bigquery_sink |
google.cloud.aiplatform_v1beta1.types.BigQueryDestination
The BigQuery destination to write partial failures to. It should be a bigquery table resource name (e.g. "bq://projectId.bqDatasetId.bqTableId"). The dataset must exist. If the table does not exist, it will be created with the expected schema. If the table exists, the schema will be validated and data will be added to this existing table. Deprecated. Prefer to use import_result_bq_sink.
This field is a member of oneof_ partial_failure_sink.
|
import_result_gcs_sink |
google.cloud.aiplatform_v1beta1.types.GcsDestination
The Cloud Storage path to write import result to. This field is a member of oneof_ import_result_sink.
|
import_result_bigquery_sink |
google.cloud.aiplatform_v1beta1.types.BigQueryDestination
The BigQuery destination to write import result to. It should be a bigquery table resource name (e.g. "bq://projectId.bqDatasetId.bqTableId"). The dataset must exist. If the table does not exist, it will be created with the expected schema. If the table exists, the schema will be validated and data will be added to this existing table. This field is a member of oneof_ import_result_sink.
|
rag_file_chunking_config |
google.cloud.aiplatform_v1beta1.types.RagFileChunkingConfig
Specifies the size and overlap of chunks after importing RagFiles. |
rag_file_transformation_config |
google.cloud.aiplatform_v1beta1.types.RagFileTransformationConfig
Specifies the transformation config for RagFiles. |
rag_file_parsing_config |
google.cloud.aiplatform_v1beta1.types.RagFileParsingConfig
Optional. Specifies the parsing config for RagFiles. RAG will use the default parser if this field is not set. |
rag_file_metadata_config |
google.cloud.aiplatform_v1beta1.types.RagFileMetadataConfig
Specifies the metadata config for RagFiles. Including paths for metadata schema and metadata. |
max_embedding_requests_per_min |
int
Optional. The max number of queries per minute that this job is allowed to make to the embedding model specified on the corpus. This value is specific to this job and not shared across other import jobs. Consult the Quotas page on the project to set an appropriate value here. If unspecified, a default value of 1,000 QPM would be used. |
global_max_embedding_requests_per_min |
int
Optional. The max number of queries per minute that the indexing pipeline job is allowed to make to the embedding model specified in the project. Please follow the quota usage guideline of the embedding model you use to set the value properly.If this value is not specified, max_embedding_requests_per_min will be used by indexing pipeline job as the global limit. |
rebuild_ann_index |
bool
Rebuilds the ANN index to optimize for recall on the imported data. Only applicable for RagCorpora running on RagManagedDb with retrieval_strategy set to ANN. The
rebuild will be performed using the existing ANN config set
on the RagCorpus. To change the ANN config, please use the
UpdateRagCorpus API.
Default is false, i.e., index is not rebuilt.
|
Methods
ImportRagFilesConfig
ImportRagFilesConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)Config for importing RagFiles.
This message has oneof_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields