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Max–Min semantic chunking of documents for RAG application

Abstract Retrieval-augmented generation (RAG) systems have emerged as a powerful approach to enhance large language model (LLM) outputs, however, their effectiveness heavily depends on document chunking strategies. Current methods, often arbitrary or size-based segmentation, fail to preserve semanti...

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Autors principals: Csaba Kiss, Marcell Nagy, Péter Szilágyi
Format: Artigo
Idioma:Inglês
Publicat: Springer 2025-06-01
Col·lecció:Discover Computing
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Accés en línia:https://doi.org/10.1007/s10791-025-09638-7
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