Building Fast Vector Search for Legal Documents

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.