chATLAS：面向ATLAS实验的检索增强对话助手
原标题：chATLAS: A Retrieval-Augmented Conversational Assistant for the ATLAS Experiment
AI 摘要
CERN的ATLAS实验团队开发并部署了chATLAS，一个基于检索增强生成（RAG）的对话助手，可访问超过3万份内部文档。系统采用稠密-稀疏混合检索，部署在CERN基础设施上，并通过自动生成问答对构建的领域基准进行评估。研究发现，嵌入模型微调结合上下文检索可将最技术性文档源中正确文档作为首位返回的频率提高一倍以上。系统还包含意图路由、安全处理、Mattermost集成和面向未来智能体工作流的MCP服务器。
正文节选
chATLAS: A Retrieval-Augmented Conversational Assistant for the ATLAS Experiment Abstract Large scientific collaborations produce extensive internal documentation spread across heterogeneous systems, making it difficult for collaborators to locate and reuse existing knowledge. We present chatlas, a deployed Retrieval-Augmented Generation (RAG) assistant developed for the ATLAS experiment at CERN. The system provides conversational access to more than 30,000 documents from several collaboration r