Unverified50% confidenceSolutionExact time
从历史工单自动提炼标准化流程的系统通常采用RAG（检索增强生成）架构，通过向量化和语义检索找到相关案例，再由LLM生成标准化流程以降低幻觉风险
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8/28/2026
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UnverifiedThe industry best practice is to combine fine-tuning with RAG—first fine-tuning to give the model domain understanding capability, then supplementing the latest dynamic knowledge through RAG.77% similarVerifiedRetrieval-Augmented Generation (RAG) architecture retrieves relevant structured data from an external knowledge base before the model generates a response, injecting it as context to produce more accurate answers.75% similarUnverifiedFine-tuning is suitable for teaching a model a specific output style or domain tone, while RAG achieves immediate-update-ready results through an external knowledge base, and the two are often used in combination in engineering.75% similarUnverifiedLLM应用的行为由系统提示词、RAG数据源、底层模型版本、工具调用与Agent能力等高度可变的部分共同决定73% similarUnverified传统大模型依赖参数化知识（将文本编码进模型权重参数），而RAG引入非参数化知识（将外部文档库作为可实时检索的动态知识源）73% similar
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