We used an open-source AI RAG library, PaperQA2 (https://github.com/Future-House/paper-qa), to generate well cited articles for every gene in the human genome, ~15k of which had no existing prior articles. In terms of factuality, we tested our generated claims against the same gene's human written Wikipedia article in a blinded study evaluated by PhD biologists. Our system's articles were more precise on average than cited claims from existing articles. (https://paper.wikicrow.ai)
The system is scalable in that we can comfortably generate all 19.2k gene articles once per week, building a repository of cited articles that automatically syncs with all published literature.
We used an open-source AI RAG library, PaperQA2 (https://github.com/Future-House/paper-qa), to generate well cited articles for every gene in the human genome, ~15k of which had no existing prior articles. In terms of factuality, we tested our generated claims against the same gene's human written Wikipedia article in a blinded study evaluated by PhD biologists. Our system's articles were more precise on average than cited claims from existing articles. (https://paper.wikicrow.ai)
The system is scalable in that we can comfortably generate all 19.2k gene articles once per week, building a repository of cited articles that automatically syncs with all published literature.