Embeddings · Vector search · LLM
AI candidate shortlisting
A job request is matched by meaning against every candidate summary in a vector database, and an LLM then judges each hit against the full request, so what comes back is a ranked shortlist with a reason attached. A second workflow keeps the index current as people join and leave.
Turned a couple of hours of manual shortlisting into a few minutes.
