public sealed class ImportRagFilesConfig : IMessage<ImportRagFilesConfig>, IEquatable<ImportRagFilesConfig>, IDeepCloneable<ImportRagFilesConfig>, IBufferMessage, IMessage
Reference documentation and code samples for the Vertex AI v1beta1 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."],[[["The `ImportRagFilesConfig` class in the Vertex AI v1beta1 API allows for the configuration of importing RagFiles, representing the latest version 1.0.0-beta21."],["This class supports importing data from various sources, including Google Cloud Storage (GCS), Google Drive, Jira, SharePoint, and Slack."],["It provides settings for managing the import process, such as `MaxEmbeddingRequestsPerMin` to control the rate of embedding model queries and `RagFileParsingConfig` to specify how RagFiles are parsed."],["There are obsolete properties for setting the bigquery and cloud storage paths for partial failures, which should now be set elsewhere."],["The `ImportRagFilesConfig` class offers advanced configurations like `RagFileTransformationConfig` for file transformation and supports multiple interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."]]],[]]
