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In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.
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作者 | Abhijit Ubale译者 | 张卫滨引 言企业 AI 团队长期面临着一个难题,那就是大多数检索增强生成 (RAG) 系统要么擅长结构化的数据查询,要么擅长文档检索,但当两者需要同时使用时就会无能为力。比如财务分析师提出“为什么欧洲业务表现不佳?”这类问题时,既需要 SQL 数据库中的结构化数据 ...