Continuous Automated Evaluation Using Golden Datasets #19

Why are we doing this?

Teams need a consistent way to measure solution quality over time and detect regressions as systems evolve. Today, evaluations are often run manually or inconsistently, making it hard to compare results and continuously optimize solutions.

What does it do?

• Runs scheduled evaluations against a golden dataset
• Uses LLM-as-a-Judge to assess accuracy, relevance, coherence, and performance
• Allows customers to extend the golden dataset over time
• Surfaces quality trends and regressions across runs

Technical Notes

• Define a standard golden dataset format
• Support scheduled or CI-driven execution
• Store results for historical comparison and reporting