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 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.

📚 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