public sealed class ImportRagFilesConfig : IMessage<ImportRagFilesConfig>, IEquatable<ImportRagFilesConfig>, IDeepCloneable<ImportRagFilesConfig>, IBufferMessage, IMessage
Reference documentation and code samples for the Vertex AI v1 API class ImportRagFilesConfig.
public BigQueryDestination ImportResultBigquerySink { get; set; }
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.
public int MaxEmbeddingRequestsPerMin { get; set; }
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.
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-25 UTC."],[[["This webpage provides documentation for the `ImportRagFilesConfig` class within the Google Cloud AI Platform V1 API, detailing its functionality for configuring the import of RagFiles."],["The `ImportRagFilesConfig` class offers various properties, such as `GcsSource`, `GoogleDriveSource`, `JiraSource`, `SharePointSources`, and `SlackSource`, enabling data import from multiple sources."],["The documentation lists the different versions of the Google Cloud AI Platform V1 API, with the latest version being 3.22.0."],["It includes options for handling partial failures during the import process, allowing users to set up BigQuery or Cloud Storage destinations for storing failure information, with `import_result_bq_sink` and `import_result_gcs_sink` being the preferred options."],["The `ImportRagFilesConfig` class supports custom configurations for RagFiles through the properties `RagFileParsingConfig` and `RagFileTransformationConfig`, as well as letting users define `MaxEmbeddingRequestsPerMin` for embedding model queries."]]],[]]
