> 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-27th-2025.md).

# 2025년 6월 27일

### 새로운 기능

* **지식 배포를 위한 GitHub 통합**: 사용자는 이제 GitHub 리포지토리에서 직접 공유된 지식을 배포할 수 있어 협업과 효율성이 향상되었습니다.

### 개선 사항

* **벡터 저장소 생성 최적화**: 벡터 저장소 생성을 위한 기본 설정을 개선하여 성능을 향상시켰습니다.


---

# 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-27th-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.