Synthesizing scientific literature with retrieval-augmented language models

Nature, Published online: 04 February 2026; doi:10.1038/s41586-025-10072-4 A specialized, open-source, retrieval-augmented language model is introduced for answering scientific queries and synthesizing literature, the responses of which are shown to be preferred by human evaluations over expert-written answers.