Building Fast Vector Search for Legal Documents

Posted3 months ago

adlumal

3 points

1 comments

huggingface.coTechstory

calmpositive

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Vector SearchNatural Language ProcessingLegal Tech

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Vector Search

Natural Language Processing

Legal Tech

The article discusses building a fast vector search system for legal documents using Hugging Face's Transformers and other technologies, with the HN community showing mild interest.

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01Story posted
Oct 20, 2025 at 12:08 AM EDT
3 months ago
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Oct 20, 2025 at 12:08 AM EDT
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Oct 20, 2025 at 12:08 AM EDT
3 months ago
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adlumalAuthor

3 months 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.

View full discussion on Hacker News

ID: 45640129Type: storyLast synced: 11/17/2025, 9:06:10 AM

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