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retrieval-benchmark

Here are 7 public repositories matching this topic...

MODA: open fashion retrieval benchmark and models by Hopit AI. MODA (203M, open source), MODA Pro Lite (213M, open weights), MODA Pro (hosted). Full-corpus benchmarks vs FashionSigLIP, SigLIP-SO400M and ZooClaw — one harness, losses shown. #1 open model on LookBench.

  • Updated Aug 28, 2026
  • Python

A reproducible benchmark for incomplete-cue personal mobility recall, comparing BM25, multilingual E5 dense retrieval, and dense-seeded graph retrieval with RRF/PPR diagnostics.

  • Updated Sep 15, 2026
  • Python

A 232-question hand-reviewed benchmark for verse-level Quranic retrieval, across six diagnostic buckets (lexical, semantic, multi-hop, cross-lingual, Roman-Urdu, out-of-corpus). Published with the reference pipeline's measured results — including the parts where it fails. CC-BY-4.0.

  • Updated Oct 24, 2026
  • Python

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