A new AI-driven knowledge search system based on a private network has gone live at Asan Medical Center, one of South Korea's largest hospitals.
AMC said its new search system demonstrates how AI can be fully deployed in a private network, preventing sensitive data from leaking while achieving the "highest level of data protection" without relying on third-party solutions.
A vector database and retrieval-augmented generation (RAG) form the technical core of this system, according to AMC.
The vector database converts and stores content from large document sets, including clinical guidelines and operational regulations, in semantic units, allowing the system to search by context and meaning rather than keyword matching alone.
RAG then requires the AI to search and reference stored documents before generating a response, reducing the risk of unsupported or fabricated answers, a problem in AI known as “hallucination.“
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