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Jeremy Hill PRO

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racineai/QwenAmann-4B-dse

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How I Built Lightning-Fast Vector Search for Legal Documents

reacted to adlumal's post with 👍 10 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

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