Method: ragFiles.import

Full name: projects.locations.ragCorpora.ragFiles.import

Import files from Google Cloud Storage or Google Drive into a RagCorpus.

Endpoint

post https://aiplatform.googleapis.com/v1beta1/{parent}/ragFiles:import

Path parameters

parent string

Required. The name of the RagCorpus resource into which to import files. Format: projects/{project}/locations/{location}/ragCorpora/{ragCorpus}

Request body

The request body contains data with the following structure:

Fields
importRagFilesConfig object (ImportRagFilesConfig)

Required. The config for the RagFiles to be synced and imported into the RagCorpus. VertexRagDataService.ImportRagFiles.

Response body

If successful, the response body contains an instance of Operation.

ImportRagFilesConfig

Config for importing RagFiles.

Fields
ragFileChunkingConfig
(deprecated) object (RagFileChunkingConfig)

Specifies the size and overlap of chunks after importing RagFiles.

ragFileTransformationConfig object (RagFileTransformationConfig)

Specifies the transformation config for RagFiles.

ragFileParsingConfig object (RagFileParsingConfig)

Optional. Specifies the parsing config for RagFiles. RAG will use the default parser if this field is not set.

ragFileMetadataConfig object (RagFileMetadataConfig)

Specifies the metadata config for RagFiles. Including paths for metadata schema and metadata.

maxEmbeddingRequestsPerMin integer

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.

globalMaxEmbeddingRequestsPerMin integer

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, maxEmbeddingRequestsPerMin will be used by indexing pipeline job as the global limit.

rebuildAnnIndex boolean

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.

import_source Union type
The source of the import. import_source can be only one of the following:
gcsSource object (GcsSource)

Google Cloud Storage location. Supports importing individual files as well as entire Google Cloud Storage directories. Sample formats: - gs://bucketName/my_directory/objectName/my_file.txt - gs://bucketName/my_directory

googleDriveSource object (GoogleDriveSource)

Google Drive location. Supports importing individual files as well as Google Drive folders.

slackSource object (SlackSource)

Slack channels with their corresponding access tokens.

jiraSource object (JiraSource)

Jira queries with their corresponding authentication.

sharePointSources object (SharePointSources)

SharePoint sources.

partial_failure_sink Union type
Optional. If provided, all partial failures are written to the sink. Deprecated. Prefer to use the import_result_sink. partial_failure_sink can be only one of the following:
partialFailureGcsSink
(deprecated) object (GcsDestination)

The Cloud Storage path to write partial failures to. Deprecated. Prefer to use importResultGcsSink.

partialFailureBigquerySink
(deprecated) object (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.

import_result_sink Union type
Optional. If provided, all successfully imported files and all partial failures are written to the sink. import_result_sink can be only one of the following:
importResultGcsSink object (GcsDestination)

The Cloud Storage path to write import result to.

importResultBigquerySink object (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.

JSON representation 
{
  "ragFileChunkingConfig": {
    object (RagFileChunkingConfig)
  },
  "ragFileTransformationConfig": {
    object (RagFileTransformationConfig)
  },
  "ragFileParsingConfig": {
    object (RagFileParsingConfig)
  },
  "ragFileMetadataConfig": {
    object (RagFileMetadataConfig)
  },
  "maxEmbeddingRequestsPerMin": integer,
  "globalMaxEmbeddingRequestsPerMin": integer,
  "rebuildAnnIndex": boolean,

  // import_source
  "gcsSource": {
    object (GcsSource)
  },
  "googleDriveSource": {
    object (GoogleDriveSource)
  },
  "slackSource": {
    object (SlackSource)
  },
  "jiraSource": {
    object (JiraSource)
  },
  "sharePointSources": {
    object (SharePointSources)
  }
  // Union type

  // partial_failure_sink
  "partialFailureGcsSink": {
    object (GcsDestination)
  },
  "partialFailureBigquerySink": {
    object (BigQueryDestination)
  }
  // Union type

  // import_result_sink
  "importResultGcsSink": {
    object (GcsDestination)
  },
  "importResultBigquerySink": {
    object (BigQueryDestination)
  }
  // Union type
}

BigQueryDestination

The BigQuery location for the output content.

Fields
outputUri string

Required. BigQuery URI to a project or table, up to 2000 characters long.

When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist.

Accepted forms:

  • BigQuery path. For example: bq://projectId or bq://projectId.bqDatasetId or bq://projectId.bqDatasetId.bqTableId.
JSON representation 
{
  "outputUri": string
}