RAG-based question answering systems face three primary technical challenges: (1) knowledge conflicts arising from inconsistent or overlapping data between LLMs and external sources, (2) poor relevance and quality of retrieved context which directly impacts answer accuracy, and (3) a lack of iterative and multi-hop reasoning capabilities required for questions needing global or summarized contexts.

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  Large Language Models Meet Knowledge Graphs for Question ...

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• Large Language Models Meet Knowledge Graphs for Question ... arxiv.org arXiv via serper

Referenced by nodes (2)

• multi-hop reasoning concept
• Large Language Models concept