Navo

this is a travel partner app

A new way for AI to search for data

View on GitHub

1GitHub stars

TypeScript, Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 7f298478fd (2026-10-06).

Selected work

Rahul Yadav
@rahulyyadav

“nomotron and UI UX and other fixes”. 70 files, 7,947 lines in data, src/components, src/app.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-22. 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 Navo handle “nomotron and UI UX and other fixes”?
What does data do in Navo?

The prompt

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

Search the GitHub repository rahulyyadav/Navo with XERJ (https://hub.xerj.org/corpus/rahulyyadav--navo).
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/rahulyyadav/Navo Navo && git -C Navo checkout 7f298478fd6a11044b6487328a574357e3119f93
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Navo --url http://127.0.0.1:9200 --prefix navo --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.

Rahul Yadav API design and specification corpora

Selected work and consent: the XERJ registry.