Skip to content
#

retrieval-benchmark

Star

Here are 5 public repositories matching this topic...

hopit-ai / Moda

Star 45

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.

benchmark information-retrieval ecommerce fashion embeddings visual-search clip text-to-image semantic-search image-retrieval multimodal fashion-ai vector-search product-search fashion-clip siglip open-clip open-weights retrieval-benchmark lookbench
  • Updated Aug 28, 2026
  • Python

LaimoKarca / fuzzy-travel-recall-benchmark

Star 0

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

information-retrieval reproducible-research networkx bm25 personalized-pagerank mobility-data dense-retrieval reciprocal-rank-fusion personal-memory multilingual-e5 graph-retrieval retrieval-benchmark multilingual-retrieval lifelog-retrieval
  • Updated Sep 15, 2026
  • Python

Add this topic to your repo

To associate your repository with the retrieval-benchmark topic, visit your repo's landing page and select "manage topics."

Learn more