RAG (Retrieval-Augmented Generation)

AI architecture in which a foundation model is augmented with retrieved knowledge from curated knowledge bases. The Constructor’s RAGs hold the company’s curated knowledge — strategic decisions, institutional memory, labeled examples. The depth and accuracy of that curation compounds over years and is not transferable. See also curation.