Today's article comes from the journal of Materials Genome Engineering Advances. The authors are Yan et al., from Shanghai Jiao Tong University, in China. In this paper they showcase a way to overcome the limitations of Retrieval-Augmented Generation (RAG).
DOI: 10.1002/mgea.77
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