> For the complete documentation index, see [llms.txt](https://docs.allganize.ai/alli-llm-app-market/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.allganize.ai/alli-llm-app-market/manual/knowledge-base/qa/qa-rating.md).
# Q\&Aへの評価(エンドユーザー画面)
Alliでは、利用ユーザーがQ\&Aの回答の内容について、評価を行うことができます。また、管理者・エージェントは、Alliダッシュボードで評価数（肯定／否定)を確認し、その結果を考慮しQ\&Aデータベースの品質を向上させることができます。
Alliから提示されたQ\&Aを選択し、回答を確認すると、以下のように回答吹き出しに肯定／否定の評価が可能なアイコンが表示されます。
Q\&Aの肯定／否定の評価数を確認するには、ナレッジベース＞Q＆Aに移動し、該当Q\&Aを検索します。表示された回答枠下部で「ユーザー評価」を確認することができます。
\
をクリックすると、評価を行ったユーザーが入力した質問を確認することができます。
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## 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, and the optional `goal` query parameter:
```
GET https://docs.allganize.ai/alli-llm-app-market/manual/knowledge-base/qa/qa-rating.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
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.