[{"data":1,"prerenderedAt":243},["ShallowReactive",2],{"docs-doc-\u002Fdocs\u002Fguide\u002Fai-kb":3,"docs-live-paths":192},{"id":4,"title":5,"body":6,"description":178,"extension":179,"meta":180,"navigation":187,"path":188,"seo":189,"stem":190,"__hash__":191},"content\u002Fdocs\u002Fguide\u002Fai-kb.md","给 AI 数字员工挂上知识库",{"type":7,"value":8,"toc":164},"minimark",[9,13,22,25,30,33,50,54,57,65,69,72,92,99,102,122,125,131,137,140],[10,11,12],"h2",{"id":12},"本文说明什么",[14,15,16,17,21],"p",{},"AI 数字员工的回答质量，关键在",[18,19,20],"strong",{},"知识","——让 AI 基于企业的业务资料（制度、产品说明、常见问答、业务口径）作答，而非仅依赖通用大模型。本文说明知识如何进入平台、如何挂载给 AI、如何验收。具体入口与菜单以实际实例界面为准。",[10,23,24],{"id":24},"三步走",[26,27,29],"h3",{"id":28},"第-1-步-把资料变成知识","第 1 步 · 把资料变成「知识」",[14,31,32],{},"把您想让 AI 掌握的文档\u002F问答整理进平台的知识体系：",[34,35,36,44,47],"ul",{},[37,38,39,40,43],"li",{},"每一条知识有",[18,41,42],{},"明确的标题与内容","，内容指向一个事实（如「某品的追溯流程是……」「退货政策是……」）。",[37,45,46],{},"建议分主题组织（制度 \u002F 产品 \u002F 业务口径 \u002F 常见问答），并按业务\u002F场景分组，避免一锅炖。",[37,48,49],{},"知识有可见范围（对内可见 \u002F 仅特定场景可见等），发布前确认它该被谁看到。",[26,51,53],{"id":52},"第-2-步-把知识挂给一个-ai","第 2 步 · 把知识挂给一个 AI",[14,55,56],{},"在 AI 数字员工的配置里指定它使用哪些知识：",[34,58,59,62],{},[37,60,61],{},"场景化：客服型员工挂载产品与售后知识；经营分析类员工挂载指标口径类资料——避免将不相关的内容挂给同一员工。",[37,63,64],{},"一个知识可被多个场景复用；也支持按需把某块知识对某角色可见。",[26,66,68],{"id":67},"第-3-步-验收它到底有没有乱说","第 3 步 · 验收：它到底有没有乱说",[14,70,71],{},"发布前务必用真实问题测一轮：",[34,73,74,80,86],{},[37,75,76,79],{},[18,77,78],{},"问口径类问题","：答案里的数字\u002F规则与权威资料一致吗？来源可定位吗？",[37,81,82,85],{},[18,83,84],{},"问边界类问题","：知识里没有的事，它是否如实说「资料里没提」而不是编一个？",[37,87,88,91],{},[18,89,90],{},"问场景问题","：把业务里最高频的 10 个问题问一遍，看答得准不准。",[14,93,94,95,98],{},"原则：",[18,96,97],{},"没有依据就不给数字","。验收时发现它开始「合理但没根据」地发挥，就说明知识覆盖不够或边界没约束好，回去补知识、收边界，而不是接受这种回答。",[10,100,101],{"id":101},"知识管理小贴士",[34,103,104,110,116],{},[37,105,106,109],{},[18,107,108],{},"宁缺毋滥","：知识库最怕塞满未核对的内容——AI 会一本正经地把过时资料也讲出来。定期核对、标记过期。",[37,111,112,115],{},[18,113,114],{},"口径优先","：和数字打交道的知识（指标、定价、规则），以一份权威口径为准，避免多处各写各的造成 AI 自相矛盾。",[37,117,118,121],{},[18,119,120],{},"留转人工通道","：AI 无法明确回答时，应配置明确的转人工引导（如客服场景转销售\u002F客服），避免 AI 勉强作答。",[10,123,124],{"id":124},"常见疑问",[14,126,127,130],{},[18,128,129],{},"知识是给「官网客服」还是「我的业务 AI」用的？","\n都可以。同一套知识体系按场景挂载——官网客服挂对外产品知识，业务 AI 挂内部业务知识，互不污染。",[14,132,133,136],{},[18,134,135],{},"AI 能直接改我的数据吗？","\n是否允许、允许动哪些，由该 AI 的权限设定决定，与知识库是两回事：知识库决定它「知道什么」，权限决定它「能做什么」。",[10,138,139],{"id":139},"相关阅读",[34,141,142,150,157],{},[37,143,144,145],{},"概念底子 → ",[146,147,149],"a",{"href":148},"\u002Fdocs\u002Fconcepts\u002Fai","AI 数字员工 · 工作机制",[37,151,152,153],{},"先看活的 → ",[146,154,156],{"href":155},"\u002Fdocs\u002Fquickstart\u002Fdemo-30s","30 秒在线体验",[37,158,159,160],{},"商务合作 → ",[146,161,163],{"href":162},"\u002Fdocs\u002Ffaq","常见问题 FAQ · 商务",{"title":165,"searchDepth":166,"depth":166,"links":167},"",2,[168,169,175,176,177],{"id":12,"depth":166,"text":12},{"id":24,"depth":166,"text":24,"children":170},[171,173,174],{"id":28,"depth":172,"text":29},3,{"id":52,"depth":172,"text":53},{"id":67,"depth":172,"text":68},{"id":101,"depth":166,"text":101},{"id":124,"depth":166,"text":124},{"id":139,"depth":166,"text":139},"让 AI 基于企业自身资料回答——知识从何而来、如何挂载给 AI、如何验证其回答有据。","md",{"audience":181,"type":182,"section":183,"pr_order":184,"role":185,"duration":186},"public","guide","使用指南",4,"实施搭建者","约 8 分钟",true,"\u002Fdocs\u002Fguide\u002Fai-kb",{"title":5,"description":178},"docs\u002Fguide\u002Fai-kb","NtT3LnT7GcmAF3xAI73GHjYIyEuq36CjXEektDiT0IE",[193,194,196,198,200,202,204,206,208,209,211,212,214,216,218,220,222,224,226,228,230,232,234,236,238,239,241],{"path":148},{"path":195},"\u002Fdocs\u002Fconcepts\u002Fai-team",{"path":197},"\u002Fdocs\u002Fconcepts\u002Fcore",{"path":199},"\u002Fdocs\u002Fconcepts\u002Fflux",{"path":201},"\u002Fdocs\u002Fconcepts\u002Fmetrics",{"path":203},"\u002Fdocs\u002Fconcepts\u002Fview",{"path":205},"\u002Fdocs\u002Fdemo-center",{"path":207},"\u002Fdocs\u002Fdeploy\u002Foverview",{"path":162},{"path":210},"\u002Fdocs\u002Fglossary",{"path":188},{"path":213},"\u002Fdocs\u002Fguide\u002Fcrud",{"path":215},"\u002Fdocs\u002Fguide\u002Fdb-connect",{"path":217},"\u002Fdocs\u002Fguide\u002Fmodel-gen",{"path":219},"\u002Fdocs\u002Fintro\u002Fframeworks",{"path":221},"\u002Fdocs\u002Fintro\u002Foverview",{"path":223},"\u002Fdocs\u002Fintro\u002Fvalue",{"path":225},"\u002Fdocs\u002Fintro\u002Fwhy",{"path":227},"\u002Fdocs\u002Fmechanism\u002Fai-employee-task",{"path":229},"\u002Fdocs\u002Fmechanism\u002Fdata-flux",{"path":231},"\u002Fdocs\u002Fmechanism\u002Fmetrics-contract",{"path":233},"\u002Fdocs\u002Fmechanism\u002Fpermission",{"path":235},"\u002Fdocs\u002Fmechanism\u002Fpublish",{"path":237},"\u002Fdocs\u002Fquickstart\u002Fclone-template",{"path":155},{"path":240},"\u002Fdocs\u002Fquickstart\u002Ffive-minutes",{"path":242},"\u002Fdocs\u002Fsystem\u002Foverview",1788586879704]