[{"data":1,"prerenderedAt":143},["ShallowReactive",2],{"ai-capability-rag-knowledge-base":3},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"title":8,"description":9,"slug":10,"order":11,"color":12,"kicker":13,"h1Main":14,"h1Sub":15,"pitch":16,"duration":17,"heroKpis":18,"scenariosTitle":30,"scenarios":31,"archLabel":44,"archNodes":45,"archExtra":63,"deliverables":64,"caseA":72,"caseB":86,"longformTitle":101,"faqs":102,"relatedCaseSlugs":115,"body":118,"_type":137,"_id":138,"_source":139,"_file":140,"_stem":141,"_extension":142},"\u002Fai-platform\u002Frag-knowledge-base","ai-platform",false,"","RAG 知识库 · 让规章会说话","浩途为企业搭建基于 RAG 的企业知识库,包含向量库 + 元数据双层检索、答案出处锚点、反馈闭环 等。","rag-knowledge-base",1,"primary","№ 01 · RAG · KNOWLEDGE","让规章\u003Cem>会说话\u003C\u002Fem>，","让新员工不再追着人问。","面向规章、合同、运维手册等内部文档的智能问答系统。每条答案携带原文档锚点,命中率不达标自动降级到人工。已交付 5 个项目,4–8 周可上线。","4 – 8 周",[19,22,25,28],{"value":20,"label":21},"5 +","已交付项目",{"value":23,"label":24},"98 %","答案有出处",{"value":26,"label":27},"\u003C 3s","平均响应",{"value":17,"label":29},"标准交付周期","什么时候该考虑 RAG?",[32,35,38,41],{"title":33,"desc":34},"新员工查文档要问 5 个人","规章、流程、产品手册分散在 OA、邮件、共享盘里,新人入职第一周大部分时间花在找文档上。",{"title":36,"desc":37},"客服重复问题占 80%","客户咨询里 80% 是基础问题,希望 AI 拦下,把人工留给真正需要判断的问题。",{"title":39,"desc":40},"合规规章变更同步慢","新规一出,业务一线要好几周才能用对。希望规章变更自动同步到知识库,索引重建零等待。",{"title":42,"desc":43},"法务条款比对耗时","合同审核里反复对比相似条款。希望 AI 标注差异、提示风险,法务只做最终判断。","RAG 数据流",[46,49,52,55,57,60],{"kind":47,"label":48},"input","文档",{"kind":50,"label":51},"process","embed",{"kind":53,"label":54},"store","向量库",{"kind":50,"label":56},"召回",{"kind":58,"label":59},"model","LLM",{"kind":61,"label":62},"output","答案 + 出处","反馈闭环:错例自动进入测试集 · 命中率持续优化",[65,66,67,68,69,70,71],"知识库管理后台(文档增删改、向量重建、灰度发布)","召回准确率评估报告(基于客户提供的 N 条样本测试)","答案出处锚点设计(点击答案跳转原文档原段落)","反馈闭环 · 用户标\"答错了\"自动进入测试集","SLA 监控仪表盘(响应时间 + 命中率 + 用户满意度)","Prompt 工程文档 + 版本管理","多模型测评报告(在您场景下 Claude\u002FGPT\u002FQwen 实际效果对比)",{"tag":73,"meta":74,"title":75,"desc":76,"kpis":77},"银行 · 营销","2024 · BANK · CUSTOMER SERVICE","某全国性股份制银行 · 营销活动客服 AI","双 11、年终回馈等多场景活动期间的客户咨询。RAG + 业务规则护栏,单场 320 万 PV 下保持 98% 准确率。",[78,81,83],{"value":79,"label":80},"68%","人工咨询下降",{"value":82,"label":27},"3.2s",{"value":84,"label":85},"98%","回答准确率",{"tag":87,"meta":88,"title":89,"desc":90,"kpis":91},"银行 · 内部知识","2024 · BANK · INTERNAL","某省级农信社 · 内部知识助手","柜员、客户经理、运维三类角色的内部问答。规章变更自动同步索引,每条回答携带原文档锚点。",[92,95,98],{"value":93,"label":94},"3 角色","权限隔离",{"value":96,"label":97},"4 周","上线",{"value":99,"label":100},"100%","出处可追溯","我们对 RAG 的理解",[103,106,109,112],{"q":104,"a":105},"RAG 会不会泄露知识库内容?","不会。① 浩途的 RAG 支持完全本地化部署,知识库不出网;② 即使用云端模型,知识库内容也不会进入模型训练;③ 权限矩阵设计:不同角色只能召回到自己有权限看的文档。",{"q":107,"a":108},"命中率达不到预期怎么办?","我们在交付前会用客户提供的 N 条样本做评估测试,命中率有明确的可验收指标。如果上线后命中率下降,反馈闭环会自动收集错例,由我们的工程师重新优化召回策略 + Prompt——这是 SLA 的一部分。",{"q":110,"a":111},"文档怎么自动同步到知识库?","支持三种触发方式:① 管理员后台手动上传;② 接入您的文档管理系统(如 Confluence、共享盘)自动监听变更;③ 定时任务批量重建索引。我们会根据您的实际系统选最合适的方案。",{"q":113,"a":114},"中英混合、PDF 表格、扫描件能处理吗?","中英混合原生支持;PDF 表格、扫描件需要 OCR 预处理,浩途提供这套工具链。复杂版式(如金融合同附件)建议提前沟通,我们做小规模测试再确定方案。",[116,117],"bank-marketing","weizhu-bi",{"type":119,"children":120,"toc":134},"root",[121,129],{"type":122,"tag":123,"props":124,"children":125},"element","p",{},[126],{"type":127,"value":128},"text","RAG 在 2024 年成了大模型落地的事实标准 —— 但这不意味着\"接个 RAG 就完事了\"。我们见过太多 RAG 项目失败,原因从来不是模型不够好,而是:① 知识库没维护,文档一变 AI 答错;② 没有出处机制,用户不敢信;③ 没有反馈闭环,错例只能凭运气发现。",{"type":122,"tag":123,"props":130,"children":131},{},[132],{"type":127,"value":133},"浩途交付的 RAG,每一项都对应这三类陷阱:管理后台让文档变更自动同步索引;答案必带原文锚点;用户标错的案例自动进入测试集 —— 下次同样问题不会再答错。",{"title":7,"searchDepth":135,"depth":135,"links":136},2,[],"markdown","content:ai-platform:rag-knowledge-base.md","content","ai-platform\u002Frag-knowledge-base.md","ai-platform\u002Frag-knowledge-base","md",1780542367755]