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A tailings dam safety question answering framework integrating a knowledge graph with retrieval augmented generation
Abstract Tailings dam accidents pose serious threats to public safety and economic stability, creating a strong demand for intelligent information systems that can support emergency response and safety management. To address this challenge, this study proposes TSA-KA, a domain-specific question-answering framework for tailings dam safety that integrates structured knowledge representation with retrieval-augmented response generation.
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