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A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models
Given the powerful abilities of RAG in providing the latest and helpful auxiliary information, retrieval-augmented large language models have emerged to harness external and authoritative knowledge bases, rather than solely relying on the model's internal knowledge, to augment the generation quality of LLMs.
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