# Human Feedback & Annotations

**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.

{% content-ref url="/pages/G0jewSSOnDNXyzx1s04b" %}
[Thumbs Up/Down](/ragaai-catalyst/human-feedback-and-annotations/thumbs-up-down.md)
{% endcontent-ref %}

{% content-ref url="/pages/yYnGDpReVzTeLlXH6bby" %}
[Add Metric Corrections](/ragaai-catalyst/human-feedback-and-annotations/add-metric-corrections.md)
{% endcontent-ref %}

{% content-ref url="/pages/ZXFvYlQkegmMC7fzVMqy" %}
[Corrections as Few-Shot Examples](/ragaai-catalyst/human-feedback-and-annotations/corrections-as-few-shot-examples.md)
{% endcontent-ref %}

{% content-ref url="/pages/iPrqz5GhSgYHBRRVtN13" %}
[Tagging](/ragaai-catalyst/human-feedback-and-annotations/tagging.md)
{% endcontent-ref %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.raga.ai/ragaai-catalyst/human-feedback-and-annotations.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.