> 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/jan-30th-2026.md).

# 2026년 1월 30일

### 개선 사항

* **문서 처리 개선**: 벡터 저장소 및 메모리 문서 처리 작업을 정제하여 더 높은 효율성과 반응성을 제공합니다.
* **작업 분리 정제**: 청크화 및 임베딩 작업의 분리를 미세 조정하여 더 나은 애플리케이션 성능을 제공합니다.

### 버그 수정

* **문서 인덱싱 타임스탬프 수정**: 문서가 인덱스된 것으로 표시될 때 'indexed\_on' 타임스탬프가 올바르게 업데이트되지 않는 문제를 수정했습니다.


---

# 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/jan-30th-2026.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.
