Retrieval-augmented generation enhanced LLM for industrial anomaly detection
Abstract Industrial anomaly detection serves as a crucial safeguard for maintaining production continuity and ensuring operational safety. This paper proposes a novel framework that synergizes Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) to enhance current detection capabil...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-05-01
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| coleção: | Discover Applied Sciences |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s42452-026-08750-7 |
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