VLM

Researchers have presented a RAG-enhanced multi-agent framework combining large language models and vision-language models for structural health monitoring of a historic masonry building. The system is designed to be auditable and region-aware, documenting how damage assessments are reached across different parts of the structure. The work, published in Nature's portfolio, points to growing use of generative AI in civil engineering inspection and heritage conservation.