docparse

YageGeng/docparse (Rust)

A new way for AI to search for data

View on GitHub

1GitHub stars

Rust, Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 52d3c7b92f (2026-10-07).

Selected work

Yage
@YageGeng

“run profiled models through TensorRT”. 29 files, 1,243 lines in crates/layout, crates/tsr, crates/config.

Licence

The repository

Apache-2.0

Checked by a person at the pinned commit.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-10-21. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

Where does docparse handle “run profiled models through TensorRT”?
What does crates/layout do in docparse?

The prompt

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

Search the GitHub repository YageGeng/docparse with XERJ (https://hub.xerj.org/corpus/yagegeng--docparse).
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/YageGeng/docparse docparse && git -C docparse checkout 52d3c7b92fd0bdd117a4d638121a1323f6ef0904
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./docparse --url http://127.0.0.1:9200 --prefix docparse --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.

Yage API design and specification corpora

Selected work and consent: the XERJ registry.