ongjin /

garu

초경량 한국어 형태소 분석기: 1MB 모델로 브라우저에서 실행(WASM). Ultra-lightweight Korean morphological analyzer in the browser. npm: garu-ko

A new way for AI to search for data
View on GitHub
181GitHub stars

Rust, Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 9dc18b05da (2026-11-02).

Selected work

zerry
@ongjin

“탐색 전 아크 비용 보정(Section 18)과 구어 판별 게이트: 연구 브랜치”. 10 files, 1,189 lines in crates/garu-core, training.

Licence

The repository

Apache-2.0

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-11-02. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

browserhangulkoreankorean-nlpkorean-tokenizermorphological-analysisnlppos-tagging

Example questions

The prompt

Paste it into your AI agent. It clones ongjin/garu at the pinned commit and indexes it on your machine.

Search the GitHub repository ongjin/garu with XERJ (https://hub.xerj.org/corpus/ongjin--garu).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/ongjin/garu garu && git -C garu checkout 9dc18b05daca9d868bf66a274b2389477a2f768d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./garu --url http://127.0.0.1:9200 --prefix garu --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: Apache-2.0. Keep the copyright notice and credit the authors.

Related

zerryWeb and frontend platform corporaeyecitegoogle-licenseclassifiercovid-qauiwwsw/virtual-keyboardAlgoBrother/MayaTok-BPEservo/servo

Selected work and consent: the XERJ registry.