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Adrian Lucas Malec's picture
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Adrian Lucas Malec

adlumal
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replied to their post 4 days ago
I benchmarked embedding APIs for speed, compared local vs hosted models, and tuned USearch for sub-millisecond retrieval on 143k chunks using only CPU. The post walks through the results, trade-offs, and what I learned about embedding API terms of service. The main motivation for using USearch is that CPU compute is cheap and easy to scale. Blog post: https://huggingface.co/blog/adlumal/lightning-fast-vector-search-for-legal-documents
liked a dataset 4 days ago
cais/hle
authored a paper 7 days ago
The Massive Legal Embedding Benchmark (MLEB)
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Isaacus's profile picture

upvoted a collection 7 days ago

Open Legal Data

Collection
A collection of our favorite open-source legal datasets on Hugging Face. • 1 item • Updated 8 days ago • 4
upvoted a paper 8 days ago

The Massive Legal Embedding Benchmark (MLEB)

Paper • 2510.19365 • Published 8 days ago • 17
upvoted an article 14 days ago
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Article

Introducing the Massive Legal Embedding Benchmark (MLEB)

By isaacus and 2 others •
14 days ago
• 18
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