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Hi I have this demo running really well and I want to thank you so much @hanxiao for creating this marvellous project. My question is more conceptual and to do with the scoring method employed, so a p…
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### Bug Description
I'm trying to use a reranker NIM to replace a HiggingFace model. The NIM service works properly from curl. Example:
```
more test_re-ranker.sh
curl -X "POST" \
"http://…
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I started trying to integrate the Matches API into the UnifiedHighlighter, but there's a fairly heavy impedance mismatch between the way the two of them work (eg Matches doesn't give you freqs, it's e…
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J'ai pris le parti pris d'afficher tous les chiffres en kg pour pouvoir comparer plus facilement les catégories entre elles. Mais ça oblige à d'autres manipulations afin d'éviter les "0,0001" (comme a…
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Hi,
I experienced issues when working with the colbert example.
I trained the model as per: https://github.com/texttron/tevatron/tree/main/examples/colbert
I then encoded the corpus and queri…
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## Introduction
This document outlines the design for implementing Reciprocal Rank Fusion, RRF, within the neural search plugin. RRF, first outlined in [a 2009 paper by Cormac, Clarke, and Büttcher…
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This is in reference to the notebook [Mitigating Disparities in Ranking from Binary Data](https://github.com/fairlearn/fairlearn/blob/23d3817f0c2214534325ce033b47a9c23caae629/notebooks/Mitigating%20Di…
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following the introduction and requirements, Fine-tuning a retrieval mode based on "Luyu/co-condenser-marco", but loading the training data error
`
python -m dense.driver.train --output_dir ./ret…
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Il y a trop d'autorités dont la plupart ne recevront probablement jamais de demandes (bureau d'information jeunesse par exemple…) et ça entrave la recherche. Exemple : recherche [Aix en Provence](http…