voltra

ramboLiang/voltra (TypeScript)

A new way for AI to search for data
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What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 84f837b626 (2026-10-20).

Selected work

Ethan
@ethanfly

“新增 project 项目管理与 doc API 文档生成”. 5 files, 669 lines in cmd/voltra-cli, services.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-20. 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

The prompt

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

Search the GitHub repository ramboLiang/voltra with XERJ (https://hub.xerj.org/corpus/ramboliang--voltra).
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/ramboLiang/voltra voltra && git -C voltra checkout 84f837b6266d6d5ced920fd62d377d0b9dd7cfa1
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./voltra --url http://127.0.0.1:9200 --prefix voltra --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: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.