Create-a-Cosmos-DB
Microsoft Developers AI Learning Hackathon
A new way for AI to search for data
2GitHub stars
3commits on main
0forks
What XERJ indexed
Snapshot
7 files · 26.1 KB
The whole repository at commit 1922c9cf89. It is the newest commit on main.
Selected work
Licence
The repository
MIT
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
MIT, with credit
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-28. 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
The prompt
Paste it into your AI agent. It clones gonzalolater/Create-a-Cosmos-DB at the pinned commit and indexes it on your machine.
Search the GitHub repository gonzalolater/Create-a-Cosmos-DB with XERJ (https://hub.xerj.org/corpus/gonzalolater--create-a-cosmos-db). 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/gonzalolater/Create-a-Cosmos-DB Create-a-Cosmos-DB && git -C Create-a-Cosmos-DB checkout 1922c9cf89c512d0cc393cfffca7b07815ed275d 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Create-a-Cosmos-DB --url http://127.0.0.1:9200 --prefix create-a-cosmos-db --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
Gonzalo Daniel AguilarDatabases and storage engines corpora
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.