Article

Privacy-Preserving Retrieval-Augmented Generation on Local Devices for Regenerative Medicine Applications

2025-10-28

Abstract excerpt

Retrieval-augmented generation (RAG) has emerged as a promising approach to improve the factual consistency and domain-specific accuracy of large language models (LLMs), particularly in fields that demand precise and up-to-date knowledge. However, existing RAG implementations are often cloud-based and unsuitable for sensitive domains such as clinical research and regenerative medicine, where data confidentiality i...

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Literature Corpus work: 1d8f2f49-840e-5f42-a024-6d4d42a3a472
DOI: 10.1101/2025.10.20.25337146

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