> For the complete documentation index, see [llms.txt](https://docs.rememberizer.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rememberizer.ai/ko/undefined-2/releases/2025-releases/jun-6th-2025.md).

# 2025년 6월 6일

### 개선 사항

* **업데이트된 인증 옵션**: Microsoft 로그인/가입 옵션이 제거되었습니다. 다른 인증 방법을 사용해 주십시오.
* **문서 접근 속도 향상**: 문서 인덱싱 및 콘텐츠 검색 최적화로 인해 문서 접근 속도가 빨라졌습니다.
* **시스템 안정성 향상**: 시스템 안정성을 높이기 위한 오류 추적 메커니즘이 개선되었습니다.

### 버그 수정

* **데이터 검증 개선**: 대량 업로드 중 문서 검증 문제를 해결하여 데이터 무결성을 향상시켰습니다.
* **성능 최적화**: 인덱스된 문서에 접근할 때 느린 쿼리를 해결하여 전체 시스템 응답성을 개선했습니다.


---

# 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.rememberizer.ai/ko/undefined-2/releases/2025-releases/jun-6th-2025.md?ask=<question>&goal=<endgoal>
```

`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.