Retrieval Augmented Generation (RAG)

ri-TREE-vuhl awg-MEN-tid jen-uh-RAY-shuhn /rɪˈtriːvəl ˌɔːɡˈmentɪd ˌdʒenəˈreɪʃən/

A technique that helps a generative AI system use trusted information. Before writing an answer, the system retrieves relevant documents (for example, from a library knowledge base) and then generates text grounded in those sources. RAG can reduce hallucinations and improve currency, but it still requires good retrieval, permissions and careful citation practices.