Workflows
Workflows are the core feature for automating unstructured data processing in your datasets. By orchestrating multiple operators in a workflow, you can build a complete data processing pipeline—from data ingestion and processing to output—to handle various types of data in batches, including audio, video, images, text, and documents.
Overview
A workflow consists of one or more operators arranged in sequence. The output of one operator serves as the input for the next, creating a data processing pipeline. The typical process involves creating a workflow, adding and configuring operators, setting its properties, running it, and then submitting it.
The workflow page consists of five main sections: the top navigation bar, the operator library, the canvas, the information panel on the right, and the bottom status bar.

Section | Description |
① Top navigation bar |
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② Operator library | The operator library provides all available operators. You can search for operators by keyword or filter them by category. The library can be expanded or collapsed. Operators are categorized by function as follows:
Drag operators from the operator library onto the canvas. |
③ Canvas | The canvas is the main editing area for your workflow. To build a complete data processing pipeline, drag operators from the operator library on the left and connect them on the canvas. The bottom of the canvas provides zoom controls to adjust the view. You can run, copy, or delete operators directly on the canvas.
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④ Information panel |
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⑤ Bottom status bar |
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