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public interface ImportRagFilesConfigOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getGcsSource()
public abstract GcsSource getGcsSource()Google Cloud Storage location. Supports importing individual files as well as entire Google Cloud Storage directories. Sample formats:
gs://bucket_name/my_directory/object_name/my_file.txtgs://bucket_name/my_directory
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;
| Returns | |
|---|---|
| Type | Description |
GcsSource |
The gcsSource. |
getGcsSourceOrBuilder()
public abstract GcsSourceOrBuilder getGcsSourceOrBuilder()Google Cloud Storage location. Supports importing individual files as well as entire Google Cloud Storage directories. Sample formats:
gs://bucket_name/my_directory/object_name/my_file.txtgs://bucket_name/my_directory
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;
| Returns | |
|---|---|
| Type | Description |
GcsSourceOrBuilder |
|
getGlobalMaxEmbeddingRequestsPerMin()
public abstract int getGlobalMaxEmbeddingRequestsPerMin()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.
int32 global_max_embedding_requests_per_min = 18 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
int |
The globalMaxEmbeddingRequestsPerMin. |
getGoogleDriveSource()
public abstract GoogleDriveSource getGoogleDriveSource()Google Drive location. Supports importing individual files as well as Google Drive folders.
.google.cloud.aiplatform.v1beta1.GoogleDriveSource google_drive_source = 3;
| Returns | |
|---|---|
| Type | Description |
GoogleDriveSource |
The googleDriveSource. |
getGoogleDriveSourceOrBuilder()
public abstract GoogleDriveSourceOrBuilder getGoogleDriveSourceOrBuilder()Google Drive location. Supports importing individual files as well as Google Drive folders.
.google.cloud.aiplatform.v1beta1.GoogleDriveSource google_drive_source = 3;
| Returns | |
|---|---|
| Type | Description |
GoogleDriveSourceOrBuilder |
|
getImportResultBigquerySink()
public abstract BigQueryDestination getImportResultBigquerySink()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.
.google.cloud.aiplatform.v1beta1.BigQueryDestination import_result_bigquery_sink = 15;
| Returns | |
|---|---|
| Type | Description |
BigQueryDestination |
The importResultBigquerySink. |
getImportResultBigquerySinkOrBuilder()
public abstract BigQueryDestinationOrBuilder getImportResultBigquerySinkOrBuilder()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.
.google.cloud.aiplatform.v1beta1.BigQueryDestination import_result_bigquery_sink = 15;
| Returns | |
|---|---|
| Type | Description |
BigQueryDestinationOrBuilder |
|
getImportResultGcsSink()
public abstract GcsDestination getImportResultGcsSink()The Cloud Storage path to write import result to.
.google.cloud.aiplatform.v1beta1.GcsDestination import_result_gcs_sink = 14;
| Returns | |
|---|---|
| Type | Description |
GcsDestination |
The importResultGcsSink. |
getImportResultGcsSinkOrBuilder()
public abstract GcsDestinationOrBuilder getImportResultGcsSinkOrBuilder()The Cloud Storage path to write import result to.
.google.cloud.aiplatform.v1beta1.GcsDestination import_result_gcs_sink = 14;
| Returns | |
|---|---|
| Type | Description |
GcsDestinationOrBuilder |
|
getImportResultSinkCase()
public abstract ImportRagFilesConfig.ImportResultSinkCase getImportResultSinkCase()| Returns | |
|---|---|
| Type | Description |
ImportRagFilesConfig.ImportResultSinkCase |
|
getImportSourceCase()
public abstract ImportRagFilesConfig.ImportSourceCase getImportSourceCase()| Returns | |
|---|---|
| Type | Description |
ImportRagFilesConfig.ImportSourceCase |
|
getJiraSource()
public abstract JiraSource getJiraSource()Jira queries with their corresponding authentication.
.google.cloud.aiplatform.v1beta1.JiraSource jira_source = 7;
| Returns | |
|---|---|
| Type | Description |
JiraSource |
The jiraSource. |
getJiraSourceOrBuilder()
public abstract JiraSourceOrBuilder getJiraSourceOrBuilder()Jira queries with their corresponding authentication.
.google.cloud.aiplatform.v1beta1.JiraSource jira_source = 7;
| Returns | |
|---|---|
| Type | Description |
JiraSourceOrBuilder |
|
getMaxEmbeddingRequestsPerMin()
public abstract int getMaxEmbeddingRequestsPerMin()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.
int32 max_embedding_requests_per_min = 5 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
int |
The maxEmbeddingRequestsPerMin. |
getPartialFailureBigquerySink() (deprecated)
public abstract BigQueryDestination getPartialFailureBigquerySink()Deprecated. google.cloud.aiplatform.v1beta1.ImportRagFilesConfig.partial_failure_bigquery_sink is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_data.proto;l=614
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.
.google.cloud.aiplatform.v1beta1.BigQueryDestination partial_failure_bigquery_sink = 12 [deprecated = true];
| Returns | |
|---|---|
| Type | Description |
BigQueryDestination |
The partialFailureBigquerySink. |
getPartialFailureBigquerySinkOrBuilder() (deprecated)
public abstract BigQueryDestinationOrBuilder getPartialFailureBigquerySinkOrBuilder() 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.
.google.cloud.aiplatform.v1beta1.BigQueryDestination partial_failure_bigquery_sink = 12 [deprecated = true];
| Returns | |
|---|---|
| Type | Description |
BigQueryDestinationOrBuilder |
|
getPartialFailureGcsSink() (deprecated)
public abstract GcsDestination getPartialFailureGcsSink()Deprecated. google.cloud.aiplatform.v1beta1.ImportRagFilesConfig.partial_failure_gcs_sink is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_data.proto;l=605
The Cloud Storage path to write partial failures to.
Deprecated. Prefer to use import_result_gcs_sink.
.google.cloud.aiplatform.v1beta1.GcsDestination partial_failure_gcs_sink = 11 [deprecated = true];
| Returns | |
|---|---|
| Type | Description |
GcsDestination |
The partialFailureGcsSink. |
getPartialFailureGcsSinkOrBuilder() (deprecated)
public abstract GcsDestinationOrBuilder getPartialFailureGcsSinkOrBuilder() The Cloud Storage path to write partial failures to.
Deprecated. Prefer to use import_result_gcs_sink.
.google.cloud.aiplatform.v1beta1.GcsDestination partial_failure_gcs_sink = 11 [deprecated = true];
| Returns | |
|---|---|
| Type | Description |
GcsDestinationOrBuilder |
|
getPartialFailureSinkCase()
public abstract ImportRagFilesConfig.PartialFailureSinkCase getPartialFailureSinkCase()| Returns | |
|---|---|
| Type | Description |
ImportRagFilesConfig.PartialFailureSinkCase |
|
getRagFileChunkingConfig() (deprecated)
public abstract RagFileChunkingConfig getRagFileChunkingConfig()Deprecated. google.cloud.aiplatform.v1beta1.ImportRagFilesConfig.rag_file_chunking_config is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_data.proto;l=633
Specifies the size and overlap of chunks after importing RagFiles.
.google.cloud.aiplatform.v1beta1.RagFileChunkingConfig rag_file_chunking_config = 4 [deprecated = true];
| Returns | |
|---|---|
| Type | Description |
RagFileChunkingConfig |
The ragFileChunkingConfig. |
getRagFileChunkingConfigOrBuilder() (deprecated)
public abstract RagFileChunkingConfigOrBuilder getRagFileChunkingConfigOrBuilder()Specifies the size and overlap of chunks after importing RagFiles.
.google.cloud.aiplatform.v1beta1.RagFileChunkingConfig rag_file_chunking_config = 4 [deprecated = true];
| Returns | |
|---|---|
| Type | Description |
RagFileChunkingConfigOrBuilder |
|
getRagFileParsingConfig()
public abstract RagFileParsingConfig getRagFileParsingConfig()Optional. Specifies the parsing config for RagFiles. RAG will use the default parser if this field is not set.
.google.cloud.aiplatform.v1beta1.RagFileParsingConfig rag_file_parsing_config = 8 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
RagFileParsingConfig |
The ragFileParsingConfig. |
getRagFileParsingConfigOrBuilder()
public abstract RagFileParsingConfigOrBuilder getRagFileParsingConfigOrBuilder()Optional. Specifies the parsing config for RagFiles. RAG will use the default parser if this field is not set.
.google.cloud.aiplatform.v1beta1.RagFileParsingConfig rag_file_parsing_config = 8 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
RagFileParsingConfigOrBuilder |
|
getRagFileTransformationConfig()
public abstract RagFileTransformationConfig getRagFileTransformationConfig()Specifies the transformation config for RagFiles.
.google.cloud.aiplatform.v1beta1.RagFileTransformationConfig rag_file_transformation_config = 16;
| Returns | |
|---|---|
| Type | Description |
RagFileTransformationConfig |
The ragFileTransformationConfig. |
getRagFileTransformationConfigOrBuilder()
public abstract RagFileTransformationConfigOrBuilder getRagFileTransformationConfigOrBuilder()Specifies the transformation config for RagFiles.
.google.cloud.aiplatform.v1beta1.RagFileTransformationConfig rag_file_transformation_config = 16;
| Returns | |
|---|---|
| Type | Description |
RagFileTransformationConfigOrBuilder |
|
getRebuildAnnIndex()
public abstract boolean getRebuildAnnIndex() 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.
bool rebuild_ann_index = 19;
| Returns | |
|---|---|
| Type | Description |
boolean |
The rebuildAnnIndex. |
getSharePointSources()
public abstract SharePointSources getSharePointSources()SharePoint sources.
.google.cloud.aiplatform.v1beta1.SharePointSources share_point_sources = 13;
| Returns | |
|---|---|
| Type | Description |
SharePointSources |
The sharePointSources. |
getSharePointSourcesOrBuilder()
public abstract SharePointSourcesOrBuilder getSharePointSourcesOrBuilder()SharePoint sources.
.google.cloud.aiplatform.v1beta1.SharePointSources share_point_sources = 13;
| Returns | |
|---|---|
| Type | Description |
SharePointSourcesOrBuilder |
|
getSlackSource()
public abstract SlackSource getSlackSource()Slack channels with their corresponding access tokens.
.google.cloud.aiplatform.v1beta1.SlackSource slack_source = 6;
| Returns | |
|---|---|
| Type | Description |
SlackSource |
The slackSource. |
getSlackSourceOrBuilder()
public abstract SlackSourceOrBuilder getSlackSourceOrBuilder()Slack channels with their corresponding access tokens.
.google.cloud.aiplatform.v1beta1.SlackSource slack_source = 6;
| Returns | |
|---|---|
| Type | Description |
SlackSourceOrBuilder |
|
hasGcsSource()
public abstract boolean hasGcsSource()Google Cloud Storage location. Supports importing individual files as well as entire Google Cloud Storage directories. Sample formats:
gs://bucket_name/my_directory/object_name/my_file.txtgs://bucket_name/my_directory
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the gcsSource field is set. |
hasGoogleDriveSource()
public abstract boolean hasGoogleDriveSource()Google Drive location. Supports importing individual files as well as Google Drive folders.
.google.cloud.aiplatform.v1beta1.GoogleDriveSource google_drive_source = 3;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the googleDriveSource field is set. |
hasImportResultBigquerySink()
public abstract boolean hasImportResultBigquerySink()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.
.google.cloud.aiplatform.v1beta1.BigQueryDestination import_result_bigquery_sink = 15;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the importResultBigquerySink field is set. |
hasImportResultGcsSink()
public abstract boolean hasImportResultGcsSink()The Cloud Storage path to write import result to.
.google.cloud.aiplatform.v1beta1.GcsDestination import_result_gcs_sink = 14;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the importResultGcsSink field is set. |
hasJiraSource()
public abstract boolean hasJiraSource()Jira queries with their corresponding authentication.
.google.cloud.aiplatform.v1beta1.JiraSource jira_source = 7;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the jiraSource field is set. |
hasPartialFailureBigquerySink() (deprecated)
public abstract boolean hasPartialFailureBigquerySink()Deprecated. google.cloud.aiplatform.v1beta1.ImportRagFilesConfig.partial_failure_bigquery_sink is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_data.proto;l=614
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.
.google.cloud.aiplatform.v1beta1.BigQueryDestination partial_failure_bigquery_sink = 12 [deprecated = true];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the partialFailureBigquerySink field is set. |
hasPartialFailureGcsSink() (deprecated)
public abstract boolean hasPartialFailureGcsSink()Deprecated. google.cloud.aiplatform.v1beta1.ImportRagFilesConfig.partial_failure_gcs_sink is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_data.proto;l=605
The Cloud Storage path to write partial failures to.
Deprecated. Prefer to use import_result_gcs_sink.
.google.cloud.aiplatform.v1beta1.GcsDestination partial_failure_gcs_sink = 11 [deprecated = true];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the partialFailureGcsSink field is set. |
hasRagFileChunkingConfig() (deprecated)
public abstract boolean hasRagFileChunkingConfig()Deprecated. google.cloud.aiplatform.v1beta1.ImportRagFilesConfig.rag_file_chunking_config is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_data.proto;l=633
Specifies the size and overlap of chunks after importing RagFiles.
.google.cloud.aiplatform.v1beta1.RagFileChunkingConfig rag_file_chunking_config = 4 [deprecated = true];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the ragFileChunkingConfig field is set. |
hasRagFileParsingConfig()
public abstract boolean hasRagFileParsingConfig()Optional. Specifies the parsing config for RagFiles. RAG will use the default parser if this field is not set.
.google.cloud.aiplatform.v1beta1.RagFileParsingConfig rag_file_parsing_config = 8 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the ragFileParsingConfig field is set. |
hasRagFileTransformationConfig()
public abstract boolean hasRagFileTransformationConfig()Specifies the transformation config for RagFiles.
.google.cloud.aiplatform.v1beta1.RagFileTransformationConfig rag_file_transformation_config = 16;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the ragFileTransformationConfig field is set. |
hasSharePointSources()
public abstract boolean hasSharePointSources()SharePoint sources.
.google.cloud.aiplatform.v1beta1.SharePointSources share_point_sources = 13;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the sharePointSources field is set. |
hasSlackSource()
public abstract boolean hasSlackSource()Slack channels with their corresponding access tokens.
.google.cloud.aiplatform.v1beta1.SlackSource slack_source = 6;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the slackSource field is set. |