Arize Release Notes: Labeling Queues, Expand/Collapse Rows in Trace Table

What’s New Labeling Queues Labeling Queues are now live, making dataset annotation more scalable and efficient with features such as: New Annotator Role – A dedicated RBAC role with focused permissions, ensuring annotators only see assigned records while keeping other data secure. Seamless Queue Creation – Create Labeling Queues directly from dataset records, with annotations...

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What’s New

Labeling Queues

Labeling Queues are now live, making dataset annotation more scalable and efficient with features such as:

  • New Annotator Role – A dedicated RBAC role with focused permissions, ensuring annotators only see assigned records while keeping other data secure.
  • Seamless Queue Creation – Create Labeling Queues directly from dataset records, with annotations automatically written back for easy tracking.
  • Annotation Resets – AI Engineers can reset annotations, allowing re-labeling when needed.
  • Flexible Assignment Methods – Choose between Random or All assignments for annotators in a queue.
  • Fast & Streamlined UI – Optimized for quick labeling workflows with: Hotkey support, background data fetching & pagination, and background submissions.

Learn More

Enhancements

Expand/Collapse Rows in the Trace Table

You can now collapse rows to see more data at a glance or expand them to view more text.

Traces collapse gif

📚 New Content

The latest video tutorials, paper readings, ebooks, self-guided learning modules, and technical posts:

🐳 DeepSeek Deep Dive
🤖 How to Build an AI Agent
🎉 We Raised $70M: A Note from our Founders

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