RAG & Knowledge Retrieval for Recruitment & HR Tech

A RAG system that cannot cite its source is a liability. Every answer we ship points back to the page it came from, so a reader can verify in one click.

In recruitment & hr tech, any screening automation must be tested for bias and be explainable to a rejected candidate. That single fact reshapes how rag & knowledge retrieval has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is interview note summarisation, usually integrated against background verification services. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. You own the code, the models where they are open-weight, and the documentation to run it without us.