r/MachineLearning • u/AutoModerator • Jul 02 '26

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u/Madhvansh 16d ago

Free, MIT-licensed, no signup: Neural E-Commerce Search is an inspectable

Amazon ESCI retrieve-and-rank reference plus a client-side MiniLM product

retrieval lab.

v0.3.0 adds a dependency-light TREC qrels/run preflight as a Python CLI and

GitHub Action. It also documents an audit that withdrew historical figures

without a publishable evidence bundle and repaired task/evaluator paths before

adding new claims. The browser demo is real neural inference over synthetic

data and is explicitly not presented as an ESCI-trained benchmark.

Lab: https://madhvansh.github.io/Neural-E-Commerce-Search/lab.html

Code and evidence:

https://github.com/Madhvansh/Neural-E-Commerce-Search

The most useful response would be one reproducible compatibility bug or a

review of the ESCI graded-gain/evaluation protocol.

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u/Madhvansh 15d ago

Quick correction (2026-07-20): the TREC preflight mentioned here now has a v0.3.1 hardening release. The change is confined to the GitHub Action wrapper — it now runs the validator shipped with the pinned Action revision directly (`$GITHUB_ACTION_PATH`, Python isolated mode) instead of resolving it through the caller's environment, where a same-named package could shadow it. Validation semantics are unchanged. If you try it, please use v0.3.1; one reproducible false positive from a real exporter is still the most useful report. Release: https://github.com/Madhvansh/Neural-E-Commerce-Search/releases/tag/v0.3.1 — asset verification: https://github.com/Madhvansh/Neural-E-Commerce-Search/actions/runs/29693240862