Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ImportRagFilesConfig

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Config for importing RagFiles.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1ImportRagFilesConfig

Returns a new instance of GoogleCloudAiplatformV1beta1ImportRagFilesConfig.



30342
30343
30344
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30342

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#gcs_source ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GcsSource

The Google Cloud Storage location for the input content. Corresponds to the JSON property gcsSource

Returns:



30252
30253
30254
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30252

def gcs_source
  @gcs_source
end

#global_max_embedding_requests_per_min ⇒ Fixnum

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. Corresponds to the JSON property globalMaxEmbeddingRequestsPerMin

Returns:

  • (Fixnum) 


30261
30262
30263
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30261

def global_max_embedding_requests_per_min
  @global_max_embedding_requests_per_min
end

#google_drive_source ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GoogleDriveSource

The Google Drive location for the input content. Corresponds to the JSON property googleDriveSource

Returns:



30266
30267
30268
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30266

def google_drive_source
  @google_drive_source
end

#import_result_bigquery_sink ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BigQueryDestination

The BigQuery location for the output content. Corresponds to the JSON property importResultBigquerySink

Returns:



30271
30272
30273
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30271

def import_result_bigquery_sink
  @import_result_bigquery_sink
end

#import_result_gcs_sink ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GcsDestination

The Google Cloud Storage location where the output is to be written to. Corresponds to the JSON property importResultGcsSink

Returns:



30276
30277
30278
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30276

def import_result_gcs_sink
  @import_result_gcs_sink
end

#jira_source ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1JiraSource

The Jira source for the ImportRagFilesRequest. Corresponds to the JSON property jiraSource

Returns:



30281
30282
30283
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30281

def jira_source
  @jira_source
end

#max_embedding_requests_per_min ⇒ Fixnum

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. Corresponds to the JSON property maxEmbeddingRequestsPerMin

Returns:

  • (Fixnum) 


30290
30291
30292
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30290

def max_embedding_requests_per_min
  @max_embedding_requests_per_min
end

#partial_failure_bigquery_sink ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BigQueryDestination

The BigQuery location for the output content. Corresponds to the JSON property partialFailureBigquerySink

Returns:



30295
30296
30297
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30295

def partial_failure_bigquery_sink
  @partial_failure_bigquery_sink
end

#partial_failure_gcs_sink ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GcsDestination

The Google Cloud Storage location where the output is to be written to. Corresponds to the JSON property partialFailureGcsSink

Returns:



30300
30301
30302
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30300

def partial_failure_gcs_sink
  @partial_failure_gcs_sink
end

#rag_file_chunking_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RagFileChunkingConfig

Specifies the size and overlap of chunks for RagFiles. Corresponds to the JSON property ragFileChunkingConfig

Returns:



30305
30306
30307
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30305

def rag_file_chunking_config
  @rag_file_chunking_config
end

#rag_file_metadata_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RagFileMetadataConfig

Metadata config for RagFile. Corresponds to the JSON property ragFileMetadataConfig

Returns:



30310
30311
30312
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30310

def rag_file_metadata_config
  @rag_file_metadata_config
end

#rag_file_parsing_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RagFileParsingConfig

Specifies the parsing config for RagFiles. Corresponds to the JSON property ragFileParsingConfig

Returns:



30315
30316
30317
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30315

def rag_file_parsing_config
  @rag_file_parsing_config
end

#rag_file_transformation_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RagFileTransformationConfig

Specifies the transformation config for RagFiles. Corresponds to the JSON property ragFileTransformationConfig

Returns:



30320
30321
30322
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30320

def rag_file_transformation_config
  @rag_file_transformation_config
end

#rebuild_ann_index ⇒ Boolean Also known as: rebuild_ann_index?

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. Corresponds to the JSON property rebuildAnnIndex

Returns:

  • (Boolean) 


30329
30330
30331
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30329

def rebuild_ann_index
  @rebuild_ann_index
end

#share_point_sources ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SharePointSources

The SharePointSources to pass to ImportRagFiles. Corresponds to the JSON property sharePointSources

Returns:



30335
30336
30337
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30335

def share_point_sources
  @share_point_sources
end

#slack_source ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SlackSource

The Slack source for the ImportRagFilesRequest. Corresponds to the JSON property slackSource

Returns:



30340
30341
30342
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30340

def slack_source
  @slack_source
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



30347
30348
30349
30350
30351
30352
30353
30354
30355
30356
30357
30358
30359
30360
30361
30362
30363
30364
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 30347

def update!(**args)
  @gcs_source = args[:gcs_source] if args.key?(:gcs_source)
  @global_max_embedding_requests_per_min = args[:global_max_embedding_requests_per_min] if args.key?(:global_max_embedding_requests_per_min)
  @google_drive_source = args[:google_drive_source] if args.key?(:google_drive_source)
  @import_result_bigquery_sink = args[:import_result_bigquery_sink] if args.key?(:import_result_bigquery_sink)
  @import_result_gcs_sink = args[:import_result_gcs_sink] if args.key?(:import_result_gcs_sink)
  @jira_source = args[:jira_source] if args.key?(:jira_source)
  @max_embedding_requests_per_min = args[:max_embedding_requests_per_min] if args.key?(:max_embedding_requests_per_min)
  @partial_failure_bigquery_sink = args[:partial_failure_bigquery_sink] if args.key?(:partial_failure_bigquery_sink)
  @partial_failure_gcs_sink = args[:partial_failure_gcs_sink] if args.key?(:partial_failure_gcs_sink)
  @rag_file_chunking_config = args[:rag_file_chunking_config] if args.key?(:rag_file_chunking_config)
  @rag_file_metadata_config = args[:rag_file_metadata_config] if args.key?(:rag_file_metadata_config)
  @rag_file_parsing_config = args[:rag_file_parsing_config] if args.key?(:rag_file_parsing_config)
  @rag_file_transformation_config = args[:rag_file_transformation_config] if args.key?(:rag_file_transformation_config)
  @rebuild_ann_index = args[:rebuild_ann_index] if args.key?(:rebuild_ann_index)
  @share_point_sources = args[:share_point_sources] if args.key?(:share_point_sources)
  @slack_source = args[:slack_source] if args.key?(:slack_source)
end