BlobHub supports various specialized Blob Types, each tailored with data storage and processing engines for specific use cases. The internal data structure, storage semantics, and API commands for a Blob depend entirely on the type chosen when the Blob is created. Currently, BlobHub offers the following primary Blob Types:Documentation Index
Fetch the complete documentation index at: https://docs.blobhub.io/llms.txt
Use this file to discover all available pages before exploring further.
Workflow
The Workflow Blob Type is designed to build, manage, and execute complex backend workflows.- You can treat memory and data as first-class citizens with built-in state management.
- Supports managing Definitions, initiating and monitoring Executions within Sessions, and accessing real-time Execution Events.
Scheduler
The Scheduler Blob Type stores a collection of schedules that trigger workflow executions on a time-based cadence.- Supports both one-time and recurring cron schedules with full timezone control.
- Retains a history of past executions, including success and failure details for each firing.
ONNX
The ONNX Blob Type provides specialized hosting for Open Neural Network Exchange (ONNX) machine learning models.- Provides commands to securely perform multipart uploads of the raw model files.
- You can describe the structure of an uploaded model archive or retrieve presigned download URLs for the components.