EmbedJobs
Manage batch embedding jobs for processing large numbers of documents asynchronously.
Columns
| Name | Type | ReadOnly | References | Description |
| JobId [KEY] | String | True |
Unique identifier for the embed job | |
| Name | String | False |
Name of the embed job | |
| Status | String | True |
Current status of the embed job | |
| Model | String | False |
Model used for embeddings | |
| CreatedAt | Datetime | True |
Timestamp when job was created | |
| InputDatasetId | String | False |
ID of the input dataset | |
| InputType | String | False |
Purpose the embeddings will be used for (search_document, search_query, classification, clustering, image) The allowed values are image, clustering, classification, search_query, search_document. | |
| OutputDatasetId | String | True |
ID of the output dataset with embeddings | |
| TruncateType | String | False |
Truncation strategy used The allowed values are START, END. | |
| Meta | String | True |
Metadata including API version billed units tokens and warnings |