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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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer
2025-06-01
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| Schriftenreihe: | Discover Computing |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/s10791-025-09638-7 |
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