public interface ImportRagFilesConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
GcsSource |
getGcsSource()
Google Cloud Storage location.
|
GcsSourceOrBuilder |
getGcsSourceOrBuilder()
Google Cloud Storage location.
|
GoogleDriveSource |
getGoogleDriveSource()
Google Drive location.
|
GoogleDriveSourceOrBuilder |
getGoogleDriveSourceOrBuilder()
Google Drive location.
|
ImportRagFilesConfig.ImportSourceCase |
getImportSourceCase() |
int |
getMaxEmbeddingRequestsPerMin()
Optional.
|
RagFileChunkingConfig |
getRagFileChunkingConfig()
Specifies the size and overlap of chunks after importing RagFiles.
|
RagFileChunkingConfigOrBuilder |
getRagFileChunkingConfigOrBuilder()
Specifies the size and overlap of chunks after importing RagFiles.
|
boolean |
hasGcsSource()
Google Cloud Storage location.
|
boolean |
hasGoogleDriveSource()
Google Drive location.
|
boolean |
hasRagFileChunkingConfig()
Specifies the size and overlap of chunks after importing RagFiles.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofboolean 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.txt` - `gs://bucket_name/my_directory`
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;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.txt` - `gs://bucket_name/my_directory`
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;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.txt` - `gs://bucket_name/my_directory`
.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;boolean hasGoogleDriveSource()
Google Drive location. Supports importing individual files as well as Google Drive folders.
.google.cloud.aiplatform.v1beta1.GoogleDriveSource google_drive_source = 3;GoogleDriveSource getGoogleDriveSource()
Google Drive location. Supports importing individual files as well as Google Drive folders.
.google.cloud.aiplatform.v1beta1.GoogleDriveSource google_drive_source = 3;GoogleDriveSourceOrBuilder getGoogleDriveSourceOrBuilder()
Google Drive location. Supports importing individual files as well as Google Drive folders.
.google.cloud.aiplatform.v1beta1.GoogleDriveSource google_drive_source = 3;boolean hasRagFileChunkingConfig()
Specifies the size and overlap of chunks after importing RagFiles.
.google.cloud.aiplatform.v1beta1.RagFileChunkingConfig rag_file_chunking_config = 4;
RagFileChunkingConfig getRagFileChunkingConfig()
Specifies the size and overlap of chunks after importing RagFiles.
.google.cloud.aiplatform.v1beta1.RagFileChunkingConfig rag_file_chunking_config = 4;
RagFileChunkingConfigOrBuilder getRagFileChunkingConfigOrBuilder()
Specifies the size and overlap of chunks after importing RagFiles.
.google.cloud.aiplatform.v1beta1.RagFileChunkingConfig rag_file_chunking_config = 4;
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];
ImportRagFilesConfig.ImportSourceCase getImportSourceCase()
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