RAG & Knowledge Retrieval for Healthcare & Hospitals

Most RAG projects fail at retrieval, not generation, the model was fine, the right passage was never fetched. We benchmark retrieval separately, because that is where the accuracy actually lives.

In healthcare & hospitals, clinical safety and patient privacy mean nothing ships without human oversight and a complete audit trail. 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 patient triage and follow-up calls, usually integrated against LIS. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Built by engineers who ship production systems, not by a practice that subcontracts the build. We hand over with runbooks, tests and a team that knows how it works, not a dependency.