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feat(embed-eval): leave-one-out kNN benchmark for embedding models #1237

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k.renner merged 3 commits from feat/embed-knn-bench into master 2026-10-10 20:00:49 +00:00
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claude-botandClaude Sonnet 5.5 cb6f6e803a feat(embed-eval): paired comparison of two kNN benchmark runs
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Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
 2026-10-10 20:35:54 +02:00
claude-botandClaude Sonnet 5.5 775419c2a4 feat(embed-eval): shorten texts the model reports as over its token limit 
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
 2026-10-10 20:30:13 +02:00
claude-botandClaude Sonnet 5.5 daf55565ee feat(embed-eval): leave-one-out kNN benchmark for embedding models 
Embeds a labelled Paperless corpus and scores nearest-neighbour correspondent and document-type accuracy against ceiling and floor. Standard library only.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
 2026-10-10 20:23:48 +02:00