AI RESEARCH
On the impact of retrieved content representations in RAG Pipelines
arXiv CS.AI
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ArXi:2605.30790v1 Announce Type: cross Retrieval-Augmented Generation (RAG) supplements a language model's input with retrieved documents, yet most RAG pipelines inherit retrieval components designed for human readers. How retrieved content should be represented when the consumer is a large language model (LLM) rather than a human is less well understood.