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.



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29737

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29647

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) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29656

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29661

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29666

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29671

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29676

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) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29685

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29690

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29695

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29700

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29705

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29710

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29715

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) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29724

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29730

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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29735

def slack_source
  @slack_source
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29742

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