duckomo

DuckDB OM extenstion

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

Python, SQL

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 1378bfc5bd (2026-10-19).

Selected work

blizhan
@blizhan

“complete spec006 independent acceptance and delivery records”. 9 files, 430 lines in specs, scripts, test.

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 2026-10-24. 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 chorust/duckomo at the pinned commit and indexes it on your machine.

Search the GitHub repository chorust/duckomo with XERJ (https://hub.xerj.org/corpus/chorust--duckomo).
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/chorust/duckomo duckomo && git -C duckomo checkout 1378bfc5bd2cbc862ad0b2e0969f921719a80070
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./duckomo --url http://127.0.0.1:9200 --prefix duckomo --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.

Related

Selected work and consent: the XERJ registry.