gradient-divergence /

agentic-retail-foundations

Companion code for Foundations of Agentic AI for Retail, Third Edition (2026): agent architectures, decision frameworks, multi-agent…

A new way for AI to search for data
View on GitHub
26GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 0cd639d744 (2026-10-21).

Selected work

Fatih Nayebi
@conqueror

“Third edition as published: companion code as printed, security updates”. 110 files, 7,018 lines in demos, tests, agents.

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

agentic-aillmretailrlrlhfagentsdata-sciencemachine-learning

Example questions

The prompt

Paste it into your AI agent. It clones gradient-divergence/agentic-retail-foundations at the pinned commit and indexes it on your machine.

Search the GitHub repository gradient-divergence/agentic-retail-foundations with XERJ (https://hub.xerj.org/corpus/gradient-divergence--agentic-retail-foundations).
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/gradient-divergence/agentic-retail-foundations agentic-retail-foundations && git -C agentic-retail-foundations checkout 0cd639d7448dfeb583657f31ef66580389cdb143
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./agentic-retail-foundations --url http://127.0.0.1:9200 --prefix agentic-retail-foundatio --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

Fatih NayebiAI, prompts and agents corporagriptapeadalflowhaystackcrusoecloud/crusoe-developer-hubray-project/raypranavkumaarofficial/nlcli-wizard

Selected work and consent: the XERJ registry.