Adrian Lucas Malec
adlumal
AI & ML interests
None yet
Recent Activity
replied to
their
post
about 23 hours 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
1 day ago
cais/hle
authored
a paper
4 days ago
The Massive Legal Embedding Benchmark (MLEB)
Organizations
