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Adrian Lucas Malec

adlumal

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replied to their post 5 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 5 days ago

cais/hle

authored a paper 8 days ago

The Massive Legal Embedding Benchmark (MLEB)

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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

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