- 1.74.0 (latest)
- 1.73.0
- 1.72.0
- 1.71.1
- 1.70.0
- 1.69.0
- 1.68.0
- 1.67.1
- 1.66.0
- 1.65.0
- 1.63.0
- 1.62.0
- 1.60.0
- 1.59.0
- 1.58.0
- 1.57.0
- 1.56.0
- 1.55.0
- 1.54.1
- 1.53.0
- 1.52.0
- 1.51.0
- 1.50.0
- 1.49.0
- 1.48.0
- 1.47.0
- 1.46.0
- 1.45.0
- 1.44.0
- 1.43.0
- 1.39.0
- 1.38.1
- 1.37.0
- 1.36.4
- 1.35.0
- 1.34.0
- 1.33.1
- 1.32.0
- 1.31.1
- 1.30.1
- 1.29.0
- 1.28.1
- 1.27.1
- 1.26.1
- 1.25.0
- 1.24.1
- 1.23.0
- 1.22.1
- 1.21.0
- 1.20.0
- 1.19.1
- 1.18.3
- 1.17.1
- 1.16.1
- 1.15.1
- 1.14.0
- 1.13.1
- 1.12.1
- 1.11.0
- 1.10.0
- 1.9.0
- 1.8.1
- 1.7.1
- 1.6.2
- 1.5.0
- 1.4.3
- 1.3.0
- 1.2.0
- 1.1.1
- 1.0.1
- 0.9.0
- 0.8.0
- 0.7.1
- 0.6.0
- 0.5.1
- 0.4.0
- 0.3.1
API documentation for aiplatform_v1.services.vertex_rag_data_service.pagers
module.
Classes
ListRagCorporaAsyncPager
ListRagCorporaAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1.types.vertex_rag_data_service.ListRagCorporaResponse
],
],
request: google.cloud.aiplatform_v1.types.vertex_rag_data_service.ListRagCorporaRequest,
response: google.cloud.aiplatform_v1.types.vertex_rag_data_service.ListRagCorporaResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_rag_corpora
requests.
This class thinly wraps an initial
ListRagCorporaResponse object, and
provides an __aiter__
method to iterate through its
rag_corpora
field.
If there are more pages, the __aiter__
method will make additional
ListRagCorpora
requests and continue to iterate
through the rag_corpora
field on the
corresponding responses.
All the usual ListRagCorporaResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListRagCorporaPager
ListRagCorporaPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1.types.vertex_rag_data_service.ListRagCorporaResponse,
],
request: google.cloud.aiplatform_v1.types.vertex_rag_data_service.ListRagCorporaRequest,
response: google.cloud.aiplatform_v1.types.vertex_rag_data_service.ListRagCorporaResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_rag_corpora
requests.
This class thinly wraps an initial
ListRagCorporaResponse object, and
provides an __iter__
method to iterate through its
rag_corpora
field.
If there are more pages, the __iter__
method will make additional
ListRagCorpora
requests and continue to iterate
through the rag_corpora
field on the
corresponding responses.
All the usual ListRagCorporaResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListRagFilesAsyncPager
ListRagFilesAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1.types.vertex_rag_data_service.ListRagFilesResponse
],
],
request: google.cloud.aiplatform_v1.types.vertex_rag_data_service.ListRagFilesRequest,
response: google.cloud.aiplatform_v1.types.vertex_rag_data_service.ListRagFilesResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_rag_files
requests.
This class thinly wraps an initial
ListRagFilesResponse object, and
provides an __aiter__
method to iterate through its
rag_files
field.
If there are more pages, the __aiter__
method will make additional
ListRagFiles
requests and continue to iterate
through the rag_files
field on the
corresponding responses.
All the usual ListRagFilesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListRagFilesPager
ListRagFilesPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1.types.vertex_rag_data_service.ListRagFilesResponse,
],
request: google.cloud.aiplatform_v1.types.vertex_rag_data_service.ListRagFilesRequest,
response: google.cloud.aiplatform_v1.types.vertex_rag_data_service.ListRagFilesResponse,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_rag_files
requests.
This class thinly wraps an initial
ListRagFilesResponse object, and
provides an __iter__
method to iterate through its
rag_files
field.
If there are more pages, the __iter__
method will make additional
ListRagFiles
requests and continue to iterate
through the rag_files
field on the
corresponding responses.
All the usual ListRagFilesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.