cudf

cuDF - GPU DataFrame Library

A new way for AI to search for data
View on GitHub
9,785GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit e0dcaf69d1 (2026-10-28).

Selected work

Aryan Srivastava
@aryansri05

“Preserve row order for ordered multi-rank Union”. 6 files, 597 lines in python.

Licence

The repository

Apache-2.0

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-10-30. 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

gpurapidscudfarrowcudapandasdataframedask

Example questions

The prompt

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

Search the GitHub repository NVIDIA/cudf with XERJ (https://hub.xerj.org/corpus/nvidia--cudf).
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/NVIDIA/cudf cudf && git -C cudf checkout e0dcaf69d171b6d8fc44fdc157f798046692b5f0
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./cudf --url http://127.0.0.1:9200 --prefix cudf --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.