Human Feedback & Annotations

Collect human feedback on AI responses. Use annotations to refine and improve model performance.

Human Feedback & Annotations in RagaAI Catalyst empower teams to enrich AI evaluations with expert oversight, providing granular insights into correctness, quality, nuance, and domain-specific preferences. By combining human judgments with automated metrics, you get more reliable, high-quality model assessment and continuous improvement.

Why Human Feedback & Annotations Matter

• Add qualitative nuance where automated metrics fall short (e.g., nuance in tone, subjective quality, interpretability).

• Validate model outputs for sensitive use cases like customer support, legal, or brand-critical scenarios.

• Enable data-driven training loops—collect human annotations to fine-tune models, prompts, or retriever selections.

• Support A/B comparisons by embedding side-by-side human-rated performance evaluations.

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