ntumba-ia

Projet IA personnel pour ntumba

A new way for AI to search for data
View on GitHub
1GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 447b11b012 (2026-10-18).

Selected work

Ntumba
@ntumbah02-lang

“Ajouter MVP Chat (FastAPI backend + frontend): OpenAI par défaut, UI…”. 5 files, 257 lines in server, web, tests.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-18. 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 ntumbah02-lang/ntumba-ia at the pinned commit and indexes it on your machine.

Search the GitHub repository ntumbah02-lang/ntumba-ia with XERJ (https://hub.xerj.org/corpus/ntumbah02-lang--ntumba-ia).
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/ntumbah02-lang/ntumba-ia ntumba-ia && git -C ntumba-ia checkout 447b11b01249a2cc494de85caa6fee8746cb3eec
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./ntumba-ia --url http://127.0.0.1:9200 --prefix ntumba-ia --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.