46 citations · 62 across the 3 of their papers we have counts for
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Hisashi Johno, Yuki Johno, Akitomo Amakawa +9
Purpose: Retrieval-augmented generation (RAG) is a technology to enhance the functionality and reliability of large language models (LLMs) by retrieving relevant information from r…