Article

Retrieval-Augmented Generation in Biomedicine: A Survey of Technologies, Datasets, and Clinical Applications

2025-12-15

Abstract excerpt

<title>Abstract</title> <p>Large language models (LLMs) in biomedicine face a fundamental conflict between static parameter knowledge and the dynamic nature of clinical evidence. Retrieval-Augmented Generation (RAG) addresses this by grounding generation in external data, yet it introduces new complexities in latency and architecture. This survey synthesizes the biomedical RAG landscape (2020–2025), classifying s...

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Literature Corpus work: b6cf8d99-8d2f-5458-8901-6a3ef5002e27
DOI: 10.21203/rs.3.rs-8330917/v1

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