Engineering AI Knowledge & RAG Platform for Mining Project Delivery

Mining engineering organizations accumulate significant institutional knowledge across years of project delivery - engineering studies, calculations, specifications, drawings, reports, spreadsheets, technical correspondence, equipment documentation and construction records.

For G Mining Services, that knowledge existed across multiple historical mining projects and document repositories. Although the information was available to the organization, finding the right engineering precedent often depended on knowing which project contained the information, where it was stored and what terminology had originally been used.

Following an initial proof of concept, Cylix developed the production architecture for an Engineering AI Retrieval-Augmented Generation platform designed to transform this historical project information into an accessible enterprise engineering knowledge system. The platform allows authorized users to ask natural-language engineering questions and retrieve contextual answers grounded in G Mining's own historical project documentation - while preserving links between AI-generated responses and the underlying source material.