What this capability evaluates
Apply repeatable quality criteria to the behaviors and signals that matter for this part of the AI workflow.
Measure Retrieval-Augmented Generation systems across both the quality of retrieved context and the quality of the generated answer.
Part of the Nexoqo AI QualityOps platform
Measure Retrieval-Augmented Generation systems across both the quality of retrieved context and the quality of the generated answer.
Apply repeatable quality criteria to the behaviors and signals that matter for this part of the AI workflow.
Trace answer-quality problems back to retrieval, context, or generation behavior.
Use criteria that reflect the complete AI workflow and the quality requirements of the product.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Trace answer-quality problems back to retrieval, context, or generation behavior.
Connect test results with regression analysis, production monitoring, and defined quality thresholds as the AI system evolves.
See how it worksConnect this workflow with the other layers of continuous AI evaluation.
Discuss how continuous evaluation can fit the AI systems and quality criteria your team is building.