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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
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| Series: | Discover Computing |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s10791-025-09638-7 |
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