[{"data":1,"prerenderedAt":3944},["ShallowReactive",2],{"header-counts":3,"playbook-onboarding\u002Fcoze-getting-started":6,"footer-counts":924,"playbook-tools-onboarding\u002Fcoze-getting-started":927},{"tools":4,"reviews":5},77,25,{"id":7,"title":8,"body":9,"category":904,"cover":905,"description":906,"extension":907,"meta":908,"navigation":564,"path":909,"published":910,"relatedTools":911,"seo":915,"stem":916,"tags":917,"updated":910,"__hash__":923},"playbook\u002Fplaybook\u002Fonboarding\u002Fcoze-getting-started.md","Coze 上手指南：从零搭建第一个 AI Bot，工作流+插件+多端发布",{"type":10,"value":11,"toc":876},"minimark",[12,16,32,39,42,87,90,121,127,138,155,159,162,201,207,210,216,225,309,320,365,368,384,387,390,407,412,432,437,451,454,457,471,476,548,553,591,595,601,645,649,654,664,668,674,678,684,688,694,698,704,708,714,718,724,727,731,751,755,781,785,805,808,843,846],[13,14,15],"h2",{"id":15},"适用人群",[17,18,19,20,24,25,24,28,31],"p",{},"三类人：",[21,22,23],"strong",{},"第一次用 Coze 不知道从哪下手的人","、",[21,26,27],{},"免费档玩了几次想做一个真能上线的 Bot 的人",[21,29,30],{},"想用工作流 + 插件做自动化但怕按调用计费烧爆的人","。",[17,33,34,35,38],{},"这份指南目标是让你在 ",[21,36,37],{},"30 分钟内完成注册 → 跑通第一个 Bot → 会配插件 → 能发布到飞书 \u002F 网页","，并且知道怎么控制成本。",[13,40,41],{"id":41},"前置条件",[43,44,45,69,75,81],"ul",{},[46,47,48,51,52,59,60,31,65,68],"li",{},[21,49,50],{},"选对版本","：面向国内用户、要发飞书 \u002F 抖音 \u002F 微信 → ",[53,54,58],"a",{"href":55,"rel":56},"https:\u002F\u002Fwww.coze.cn",[57],"nofollow","扣子 coze.cn","；面向海外、要接 GPT \u002F Claude → ",[53,61,64],{"href":62,"rel":63},"https:\u002F\u002Fwww.coze.com",[57],"coze.com",[21,66,67],{},"两边账号不互通","，选错要重做。",[46,70,71,74],{},[21,72,73],{},"可登录的账号","：国内版用飞书 \u002F 抖音账号最快；国际版用 Google 账号。",[46,76,77,80],{},[21,78,79],{},"一个真实想解决的问题","：不要用\"你好\"测试 Coze，浪费日额度也看不出效果。想好你要做的 Bot 解决什么问题（客服 \u002F 内容生成 \u002F 数据处理）。",[46,82,83,86],{},[21,84,85],{},"国际版额外","：要接 GPT \u002F Claude 需要 BYOK——自己绑海外信用卡，平台不代付。",[13,88,89],{"id":89},"注册和登录",[91,92,93,106,115,118],"ol",{},[46,94,95,96,100,101,105],{},"打开 ",[53,97,99],{"href":55,"rel":98},[57],"www.coze.cn","（国内）或 ",[53,102,104],{"href":62,"rel":103},[57],"www.coze.com","（国际）",[46,107,108,100,111,114],{},[21,109,110],{},"飞书 \u002F 抖音账号",[21,112,113],{},"Google 账号","（国际）登录最快",[46,116,117],{},"完成首次引导（可跳过）",[46,119,120],{},"进入\"工作空间\"，能看到模型额度（国内免费版有日额度）",[17,122,123,126],{},[21,124,125],{},"常见问题","：",[43,128,129,132,135],{},[46,130,131],{},"国内版提示账号异常 → 换飞书 \u002F 抖音账号重试，手机号注册受限多",[46,133,134],{},"国际版登录卡住 → 清 cookie 或换浏览器无痕模式",[46,136,137],{},"国际版接 GPT 报错 → 检查 BYOK 的海外信用卡是否绑成功",[139,140,145],"div",{"className":141},[142,143,144],"card","p-5","my-4",[17,146,147,150,151,154],{},[21,148,149],{},"版本选择红线","：国内版（扣子）和国际版（coze.com）是两套独立系统，账号、Bot、工作流",[21,152,153],{},"完全不互通","。别在国内版做完想着搬国际版，得从头重做。选哪个看你面向哪边用户、要不要接 GPT\u002FClaude。",[13,156,158],{"id":157},"创建第一个-bot","创建第一个 Bot",[17,160,161],{},"以\"小红书文案生成 Bot\"为例，10 分钟跑通：",[91,163,164,171,177,183,189,195,198],{},[46,165,166,167,170],{},"左侧\"工作空间\" → ",[21,168,169],{},"\"+创建 Bot\"","，起个名字（如\"小红书文案助手\"）",[46,172,173,176],{},[21,174,175],{},"选模型","：国内推荐豆包 Pro（免费额度够试），国际推 Claude Sonnet 4",[46,178,179,182],{},[21,180,181],{},"写 Bot 角色 prompt","（这是 Bot 行为的核心，见下方模板）",[46,184,185,188],{},[21,186,187],{},"可选：上传知识库","——传几篇你写过的高赞小红书笔记，让 Bot 模仿你的风格",[46,190,191,194],{},[21,192,193],{},"测试对话","：右侧调试窗口输入\"帮我写一篇关于露营的小红书文案\"，看效果",[46,196,197],{},"反复调 prompt 直到满意",[46,199,200],{},"右上**\"发布\"** → 选渠道（先选\"自定义网页\"试水）",[17,202,203,206],{},[21,204,205],{},"关键认知","：Bot 的效果 80% 取决于 prompt 写得多具体。\"你是一个文案助手\"这种废话 prompt 出来的 Bot 一定是平庸的。把人设、语气、结构、字数、禁忌都写清楚。",[13,208,209],{"id":209},"工作流编排",[17,211,212,213,31],{},"Bot 能做\"对话\"，但做不了\"批量处理\"和\"多步骤逻辑\"。要这些能力，用",[21,214,215],{},"工作流（Workflow）",[17,217,218,219,224],{},"Coze 工作流是 DAG 节点编排，可被 Bot 调用，也可独立部署成 API。节点类型（基于 ",[53,220,223],{"href":221,"rel":222},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[57],"火山引擎社区 2025 实战","）：",[226,227,228,241],"table",{},[229,230,231],"thead",{},[232,233,234,238],"tr",{},[235,236,237],"th",{},"节点",[235,239,240],{},"作用",[242,243,244,253,261,269,277,285,293,301],"tbody",{},[232,245,246,250],{},[247,248,249],"td",{},"开始 \u002F 结束",[247,251,252],{},"输入输出",[232,254,255,258],{},[247,256,257],{},"大模型节点",[247,259,260],{},"调豆包 \u002F GPT \u002F Claude",[232,262,263,266],{},[247,264,265],{},"代码节点",[247,267,268],{},"内嵌 Python \u002F JavaScript，做数据格式转换",[232,270,271,274],{},[247,272,273],{},"循环节点",[247,275,276],{},"批量处理多条数据",[232,278,279,282],{},[247,280,281],{},"条件节点",[247,283,284],{},"分支判断",[232,286,287,290],{},[247,288,289],{},"插件节点",[247,291,292],{},"调插件市场的工具",[232,294,295,298],{},[247,296,297],{},"知识库节点",[247,299,300],{},"RAG 检索",[232,302,303,306],{},[247,304,305],{},"HTTP 节点",[247,307,308],{},"调外部 API",[17,310,311,314,315,224],{},[21,312,313],{},"实战：批量生成小红书文案工作流","（参考 ",[53,316,319],{"href":317,"rel":318},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[57],"今日头条 涛哥讲AI 2025-02 教程",[91,321,322,325,331,341,346,351,356,362],{},[46,323,324],{},"在\"资源库\" → 创建工作流",[46,326,327,330],{},[21,328,329],{},"开始节点","：输入飞书多维表格的记录列表",[46,332,333,335,336,340],{},[21,334,289],{},"：读飞书多维表格（设 ",[337,338,339],"code",{},"page_size","，最大 500 条）",[46,342,343,345],{},[21,344,273],{},"：遍历每条记录",[46,347,348,350],{},[21,349,257],{},"：把每条记录的主题转写成小红书风格文案",[46,352,353,355],{},[21,354,289],{},"：把生成结果写回飞书多维表格",[46,357,358,361],{},[21,359,360],{},"结束节点","：输出处理数量",[46,363,364],{},"调试 → 在 Bot 里\"添加工作流\"引用",[17,366,367],{},"整个流程零代码完成。这类\"批量内容生成\"是 Coze 工作流的高频打法。",[139,369,371],{"className":370},[142,143,144],[17,372,373,376,377,379,380,383],{},[21,374,375],{},"工作流踩坑","：读取飞书表格默认只取 20 条，要改 ",[337,378,339],{},"，最大 500 条；超过 500 要分页或用循环节点。记录条数 > 50 时建议在 Bot 里\"异步\"调用工作流，不要同步走，否则容易超时。写入多维表格需要 ",[337,381,382],{},"Array\u003CObject>"," 格式，代码节点要做转换。",[13,385,386],{"id":386},"插件配置",[17,388,389],{},"插件是 Coze 的护城河——让 Bot 不止\"会聊天\"，还能\"动手\"。配置方式：",[91,391,392,398,401,404],{},[46,393,394,395],{},"Bot 编辑页 → ",[21,396,397],{},"\"+ 插件\"",[46,399,400],{},"从插件市场选（飞书多维表格、联网搜索、图像生成、代码执行、微博、抖音、bilibili、Notion 等）",[46,402,403],{},"配置插件参数（如飞书表格的 app_token、table_id）",[46,405,406],{},"在 prompt 里告诉 Bot 什么时候调这个插件",[17,408,409,126],{},[21,410,411],{},"高频插件组合",[43,413,414,420,426],{},[46,415,416,419],{},[21,417,418],{},"客服 Bot","：知识库（产品文档）+ 飞书多维表格（查订单）+ 联网搜索（查物流）",[46,421,422,425],{},[21,423,424],{},"内容 Bot","：联网搜索（抓热点）+ 大模型（生成文案）+ 图像生成（配图）",[46,427,428,431],{},[21,429,430],{},"数据 Bot","：飞书多维表格（读数据）+ 代码执行（算指标）+ 大模型（写洞察）",[17,433,434,126],{},[21,435,436],{},"插件配置要点",[43,438,439,442,445],{},[46,440,441],{},"插件需要授权——飞书类插件要绑飞书账号授权读写权限",[46,443,444],{},"第三方插件质量参差，生产用之前要测稳定性",[46,446,447,450],{},[21,448,449],{},"部分插件调用会单独计费","，是成本盲区，配之前看清楚",[13,452,453],{"id":453},"多端发布",[17,455,456],{},"发布是 Coze 最被低估的能力。Bot 做好后：",[91,458,459,462,465,468],{},[46,460,461],{},"右上**\"发布\"** → 选渠道",[46,463,464],{},"国内版可选：飞书机器人、抖音 \u002F 头条号、微信小程序 \u002F 公众号（部分需企业认证）、自定义网页嵌入、API 接口",[46,466,467],{},"国际版可选：Discord、自定义网页、API",[46,469,470],{},"按引导授权 → 拿到调用地址 \u002F webhook",[17,472,473,126],{},[21,474,475],{},"发布渠道选择建议",[226,477,478,491],{},[229,479,480],{},[232,481,482,485,488],{},[235,483,484],{},"渠道",[235,486,487],{},"适合场景",[235,489,490],{},"注意",[242,492,493,504,515,526,537],{},[232,494,495,498,501],{},[247,496,497],{},"自定义网页",[247,499,500],{},"最快验证，分享链接即可测",[247,502,503],{},"默认有 Coze 水印",[232,505,506,509,512],{},[247,507,508],{},"飞书机器人",[247,510,511],{},"企业内部客服 \u002F 助手",[247,513,514],{},"一键绑，toB 首选",[232,516,517,520,523],{},[247,518,519],{},"API 接口",[247,521,522],{},"嵌入自家产品",[247,524,525],{},"拿 OpenAPI 风格调用地址",[232,527,528,531,534],{},[247,529,530],{},"微信小程序 \u002F 公众号",[247,532,533],{},"toC 触达",[247,535,536],{},"部分需企业认证，审核较严",[232,538,539,542,545],{},[247,540,541],{},"抖音 \u002F 头条号",[247,543,544],{},"内容生态内互动",[247,546,547],{},"适合内容类 Bot",[17,549,550,126],{},[21,551,552],{},"上线前 checklist",[43,554,557,567,573,579,585],{"className":555},[556],"contains-task-list",[46,558,561,566],{"className":559},[560],"task-list-item",[562,563],"input",{"disabled":564,"type":565},true,"checkbox"," 已在调试窗口跑过 10+ 轮真实对话，效果稳定",[46,568,570,572],{"className":569},[560],[562,571],{"disabled":564,"type":565}," 已估算日调用量，确认专业版月成本可控（按调用计费没有封顶）",[46,574,576,578],{"className":575},[560],[562,577],{"disabled":564,"type":565}," prompt 里的禁忌 \u002F 兜底回复已写好（避免 Bot 乱说话）",[46,580,582,584],{"className":581},[560],[562,583],{"disabled":564,"type":565}," 知识库已上传最新文档（切片策略改动后老数据不会自动重切，要重新上传）",[46,586,588,590],{"className":587},[560],[562,589],{"disabled":564,"type":565}," 国内版内容合规已自查（金融 \u002F 医疗 \u002F 政治话题可能被审核拦）",[13,592,594],{"id":593},"省-token-技巧","省 token 技巧",[17,596,597,598,31],{},"Coze 国内版免费档有日模型额度，专业版按调用计费。",[21,599,600],{},"控制 token 消耗 = 控制成本",[91,602,603,609,615,621,627,633,639],{},[46,604,605,608],{},[21,606,607],{},"prompt 写具体不写模糊","：模糊 prompt 让模型反复试错，token 翻倍。把人设、结构、字数、禁忌都写清楚。",[46,610,611,614],{},[21,612,613],{},"知识库别堆太多无关文档","：RAG 检索会拉入大量 context，无关文档白白烧 token。知识库要精不要多。",[46,616,617,620],{},[21,618,619],{},"能用小模型别上大模型","：简单分类 \u002F 改写用豆包 lite，复杂推理才上豆包 Pro。在工作流里给每个大模型节点单独选模型。",[46,622,623,626],{},[21,624,625],{},"工作流别让模型自己决定循环多少次","：明说\"处理这 10 条\"，别让它自由发挥。",[46,628,629,632],{},[21,630,631],{},"限制输出长度","：prompt 里写\"不超过 200 字\"，比\"详细写\"省一半 token。",[46,634,635,638],{},[21,636,637],{},"少在对话里塞长上下文","：长对话每轮都带历史，token 累积爆炸。重要任务用工作流一次性处理，不要多轮对话。",[46,640,641,644],{},[21,642,643],{},"爆款 Bot 要设调用上限","：按调用计费没有封顶，Bot 被传播开可能一夜烧爆账户。上线前评估峰值并发，必要时在发布端做限流。",[13,646,648],{"id":647},"_7-个可复用-prompt-模板","7 个可复用 Prompt 模板",[650,651,653],"h3",{"id":652},"_1-小红书文案生成","1. 小红书文案生成",[655,656,662],"pre",{"className":657,"code":659,"language":660,"meta":661},[658],"language-text","你是一个小红书爆款文案写手。\n风格：口语化、有梗、emoji 适度、开头 3 秒抓人。\n任务：根据主题 [主题] 写一篇小红书笔记。\n结构：吸睛标题（带数字或情绪）+ 开头痛点 + 3 个核心点（每点配 emoji）+ 互动结尾 + 5 个话题标签。\n字数：300-400 字。\n禁忌：不写\"亲爱的\"、不用书面语、不堆砌形容词。\n","text","",[337,663,659],{"__ignoreMap":661},[650,665,667],{"id":666},"_2-客服-bot-角色","2. 客服 Bot 角色",[655,669,672],{"className":670,"code":671,"language":660,"meta":661},[658],"你是 [产品名] 的客服助手。\n你能做：根据知识库回答产品问题、查订单状态（调用飞书表格插件）、查物流（调用联网搜索插件）。\n语气：专业、简洁、有同理心，不啰嗦。\n规则：\n- 只回答知识库和插件能覆盖的问题，超出范围说\"这个问题我转人工，请留下联系方式\"\n- 涉及退款 \u002F 投诉 \u002F 价格争议，直接引导转人工\n- 每条回复不超过 150 字\n- 不编造功能，不确定就说不知道\n兜底：用户说\"人工\"或连续 2 次没解决问题，主动转人工。\n",[337,673,671],{"__ignoreMap":661},[650,675,677],{"id":676},"_3-工作流批处理节点","3. 工作流批处理节点",[655,679,682],{"className":680,"code":681,"language":660,"meta":661},[658],"你是数据转写员。\n输入：一条飞书表格记录，字段包含 [字段1、字段2、字段3]。\n任务：把这条记录转写成 [目标格式，如：一段产品介绍 \u002F 一条朋友圈 \u002F 一封邮件]。\n要求：\n- 严格按 [格式模板] 输出\n- 保留原始数据，不编造\n- 输出纯文本，不带解释\n- 单条不超过 [N] 字\n",[337,683,681],{"__ignoreMap":661},[650,685,687],{"id":686},"_4-知识库问答-引用","4. 知识库问答 + 引用",[655,689,692],{"className":690,"code":691,"language":660,"meta":661},[658],"你是 [领域] 知识助手。\n回答用户问题时：\n1. 先检索知识库，只基于检索到的内容回答\n2. 检索不到就说\"知识库中没有相关信息\"，不编造\n3. 每个事实点后标注来源段落（如\"参考：员工手册第3章\"）\n4. 回答结构化，用要点列表\n5. 涉及数字 \u002F 日期 \u002F 政策，必须引用原文\n语气：客观、准确、不口语化。\n",[337,693,691],{"__ignoreMap":661},[650,695,697],{"id":696},"_5-内容审核-分类","5. 内容审核 \u002F 分类",[655,699,702],{"className":700,"code":701,"language":660,"meta":661},[658],"你是内容分类员。\n输入：一段用户生成内容。\n任务：判断它属于以下哪类：[正常 \u002F 广告 \u002F 违规 \u002F 敏感]。\n判断标准：\n- 正常：符合社区规范\n- 广告：含明显推广 \u002F 联系方式 \u002F 引流话术\n- 违规：含辱骂 \u002F 人身攻击 \u002F 虚假信息\n- 敏感：涉及政治 \u002F 医疗 \u002F 金融风险\n输出格式：只输出类别名 + 一句话理由，不超过 30 字。\n不确定的归到最接近的上一类，不要瞎判。\n",[337,703,701],{"__ignoreMap":661},[650,705,707],{"id":706},"_6-数据洞察生成","6. 数据洞察生成",[655,709,712],{"className":710,"code":711,"language":660,"meta":661},[658],"你是数据分析师。\n输入：一份 [指标] 的数据表（飞书多维表格读取）。\n任务：产出 3 条可执行的业务洞察。\n要求：\n- 每条洞察 = 现象 + 原因假设 + 建议动作\n- 现象必须基于数据，不编造\n- 找出 1 个异常值或反趋势\n- 输出 Markdown 格式，每条 100 字内\n- 不需要画图，文字说清楚\n",[337,713,711],{"__ignoreMap":661},[650,715,717],{"id":716},"_7-多语言翻译-bot","7. 多语言翻译 Bot",[655,719,722],{"className":720,"code":721,"language":660,"meta":661},[658],"你是专业翻译。\n支持语言对：[中-英、中-日、中-韩]。\n翻译规则：\n- 信达雅，不机翻腔\n- 保留专有名词 \u002F 品牌名 \u002F 代码不翻\n- 语气随场景调整（正式 \u002F 口语 \u002F 营销）\n- 用户没指定语言时，根据内容自动判断并说明\n输出：只输出译文，不带解释。需要解释时用户会单独问。\n长度：尽量与原文等长，不随意扩写或缩写。\n",[337,723,721],{"__ignoreMap":661},[13,725,726],{"id":726},"常见坑",[650,728,730],{"id":729},"注册-账号","注册 \u002F 账号",[43,732,733,739,745],{},[46,734,735,738],{},[21,736,737],{},"国内版 vs 国际版不互通","：两套独立系统，账号、Bot、工作流都不通用。选错版本要重做。",[46,740,741,744],{},[21,742,743],{},"国内手机号注册受限","：用飞书 \u002F 抖音账号登录最快。",[46,746,747,750],{},[21,748,749],{},"国际版接 GPT\u002FClaude 要 BYOK","：自己绑海外信用卡，平台不代付。",[650,752,754],{"id":753},"bot-执行","Bot \u002F 执行",[43,756,757,763,769,775],{},[46,758,759,762],{},[21,760,761],{},"prompt 写太模糊","：Bot 效果差 80% 是 prompt 问题。把人设、结构、字数、禁忌都写具体。",[46,764,765,768],{},[21,766,767],{},"知识库切片改动后老数据不重切","：要重新上传文档。",[46,770,771,774],{},[21,772,773],{},"国内版内容审核","：金融 \u002F 医疗 \u002F 政治话题可能被拦，prompt 里别碰红线。",[46,776,777,780],{},[21,778,779],{},"运行超时","：单工作流执行有时间上限，记录条数 > 50 用异步调用。",[650,782,784],{"id":783},"成本-计费","成本 \u002F 计费",[43,786,787,793,799],{},[46,788,789,792],{},[21,790,791],{},"专业版按调用计费没有封顶","：爆款 Bot 一夜烧爆账户，上线前估算峰值并发。",[46,794,795,798],{},[21,796,797],{},"插件调用可能单独计费","：配插件前看清楚是否额外收费。",[46,800,801,804],{},[21,802,803],{},"长对话 token 累积爆炸","：重要任务用工作流一次性处理，不要无意义多轮对话。",[650,806,807],{"id":807},"和其他工具的衔接",[43,809,810,821,831],{},[46,811,812,815,816,820],{},[21,813,814],{},"和 Dify 一起用","：Coze 做前端 Bot 发布 + 飞书生态，",[53,817,819],{"href":818},"\u002Fagent\u002Fplatform\u002Fdify.html","Dify"," 做后端 AI 中台 + 复杂工作流，API 互通。",[46,822,823,126,826,830],{},[21,824,825],{},"和 FastGPT 一起用",[53,827,829],{"href":828},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT"," 做知识库底座（RAG 精度更高），Coze 做前端 Bot。",[46,832,833,836,837,839,840,842],{},[21,834,835],{},"数据敏感要自托管","：直接去 ",[53,838,819],{"href":818}," \u002F ",[53,841,829],{"href":828},"，Coze 不支持真正私有部署。",[13,844,845],{"id":845},"相关阅读",[43,847,848,854,860,866,871],{},[46,849,850],{},[53,851,853],{"href":852},"\u002Freview\u002Fcoze-deep-review.html","Coze 深度评测：字节 AI Bot 平台真能零代码搭出能用 Agent 吗",[46,855,856],{},[53,857,859],{"href":858},"\u002Fcompare\u002Fcoze-vs-dify.html","Coze vs Dify：AI Agent 平台怎么选",[46,861,862],{},[53,863,865],{"href":864},"\u002Fagent\u002Fplatform\u002Fcoze.html","Coze 工具卡：字节 AI Bot 平台",[46,867,868],{},[53,869,870],{"href":818},"Dify 工具卡：开源 LLMOps 平台",[46,872,873],{},[53,874,875],{"href":828},"FastGPT 工具卡：开源知识库问答系统",{"title":661,"searchDepth":877,"depth":877,"links":878},3,[879,881,882,883,884,885,886,887,888,897,903],{"id":15,"depth":880,"text":15},2,{"id":41,"depth":880,"text":41},{"id":89,"depth":880,"text":89},{"id":157,"depth":880,"text":158},{"id":209,"depth":880,"text":209},{"id":386,"depth":880,"text":386},{"id":453,"depth":880,"text":453},{"id":593,"depth":880,"text":594},{"id":647,"depth":880,"text":648,"children":889},[890,891,892,893,894,895,896],{"id":652,"depth":877,"text":653},{"id":666,"depth":877,"text":667},{"id":676,"depth":877,"text":677},{"id":686,"depth":877,"text":687},{"id":696,"depth":877,"text":697},{"id":706,"depth":877,"text":707},{"id":716,"depth":877,"text":717},{"id":726,"depth":880,"text":726,"children":898},[899,900,901,902],{"id":729,"depth":877,"text":730},{"id":753,"depth":877,"text":754},{"id":783,"depth":877,"text":784},{"id":807,"depth":877,"text":807},{"id":845,"depth":880,"text":845},"onboarding","\u002Fimg\u002Ftools\u002Fcoze.webp","Coze 从零上手教程：如何完成国内版 \u002F 国际版选择与注册、创建第一个 Bot、工作流可视化编排、插件配置、多端一键发布到飞书抖音微信、省 token 与按调用计费控预算技巧，以及 7 个可复用 Prompt 模板。","md",{},"\u002Fplaybook\u002Fonboarding\u002Fcoze-getting-started","2026-07-04",[912,913,914],"agent\u002Fplatform\u002Fcoze","agent\u002Fplatform\u002Fdify","agent\u002Fplatform\u002Ffastgpt",{"title":8,"description":906},"playbook\u002Fonboarding\u002Fcoze-getting-started",[918,919,920,921,922],"Coze","AI Agent","Bot","工作流","零代码","SLI4EsprizISM2V2zF1_g67X2WWH7QEQ0INUwVY_Fqc",{"tools":4,"reviews":5,"playbooks":925,"news":926},22,13,[928,1816,2865],{"id":929,"title":918,"alternatives":930,"api_compatible":932,"body":933,"category":1737,"chinese_friendly":1738,"cover":905,"description":1739,"domestic":1740,"extension":907,"faq":1741,"free":1740,"github":1741,"languages":1742,"meta":1745,"models":1746,"navigation":564,"notSuitable":1752,"opensource":1740,"path":1756,"pillar":1757,"platforms":1758,"priceTable":1760,"pricing":1781,"published":1782,"relatedPlaybooks":1741,"relatedReviews":1741,"score":1783,"self_host":1740,"seo":1785,"seoTitle":1786,"slug":912,"sources":1787,"stem":1798,"suitable":1799,"tagline":1805,"tags":1806,"updated":1813,"verdict":1814,"website":55,"__hash__":1815},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md",[913,914,931],"agent\u002Fplatform\u002Fyuanqi",[],{"type":10,"value":934,"toc":1721},[935,939,973,979,982,986,989,1002,1008,1051,1058,1062,1065,1097,1105,1109,1112,1131,1135,1217,1226,1229,1232,1252,1261,1265,1296,1299,1302,1442,1458,1489,1492,1561,1565,1568,1585,1588,1618,1620,1684,1687,1714],[13,936,938],{"id":937},"tldr","TL;DR",[139,940,942,960],{"className":941},[142,143,144],[17,943,944,947,948,959],{},[21,945,946],{},"一句话："," 字节跳动出品的低代码 Agent 平台，",[21,949,950,951,955,956],{},"国内版 ",[53,952,954],{"href":55,"rel":953},[57],"coze.cn","（中文叫\"扣子\"）+ 国际版 ",[53,957,64],{"href":62,"rel":958},[57]," 双轨运营。国内版深度集成飞书 \u002F 抖音生态、原生接入豆包；国际版集成 OpenAI \u002F Claude \u002F Gemini。",[17,961,962,963,966,967,972],{},"最大价值是 ",[21,964,965],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[53,968,971],{"href":969,"rel":970},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[57],"博客园 2026-01 选型指南"," 引用的真实案例，\"某电商公司用 Coze 搭建客服机器人，3 天上线，月成本 \u003C 1000 元\"。",[974,975,976],"blockquote",{},[17,977,978],{},"来源说明：本文基于 coze.cn \u002F coze.com 官方页面、docs.coze.com 文档、第三方选型评测（cnblogs \u002F besthub \u002F aibotgo）综合整理。字节产品迭代很快，价格 \u002F 功能请以最新官方页面为准。",[13,980,981],{"id":981},"核心特性",[650,983,985],{"id":984},"可视化工作流最大卖点","可视化工作流（最大卖点）",[17,987,988],{},"Coze 把 Agent 拆成两层：",[43,990,991,997],{},[46,992,993,996],{},[21,994,995],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[46,998,999,1001],{},[21,1000,215],{},"：DAG 节点编排，可被 Bot 调用，也可独立部署",[17,1003,1004,1005,224],{},"工作流节点类型（基于 ",[53,1006,223],{"href":221,"rel":1007},[57],[43,1009,1010,1016,1021,1026,1031,1036,1041,1046],{},[46,1011,1012,1015],{},[21,1013,1014],{},"开始 \u002F 结束节点","：输入输出",[46,1017,1018,1020],{},[21,1019,257],{},"：调豆包 \u002F GPT \u002F Claude 任一模型",[46,1022,1023,1025],{},[21,1024,265],{},"：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[46,1027,1028,1030],{},[21,1029,273],{},"：批量处理多条数据",[46,1032,1033,1035],{},[21,1034,281],{},"：分支判断",[46,1037,1038,1040],{},[21,1039,289],{},"：调 Coze 插件市场的工具",[46,1042,1043,1045],{},[21,1044,297],{},"：RAG 检索",[46,1047,1048,1050],{},[21,1049,305],{},"：调外部 API",[17,1052,1053,1054,1057],{},"典型用例（参考 ",[53,1055,319],{"href":317,"rel":1056},[57],"）：读飞书多维表格 → 批量调大模型转写为小红书风格 → 写回飞书。整个流程零代码完成。",[650,1059,1061],{"id":1060},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[17,1063,1064],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[43,1066,1067,1073,1079,1085,1091],{},[46,1068,1069,1072],{},[21,1070,1071],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[46,1074,1075,1078],{},[21,1076,1077],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[46,1080,1081,1084],{},[21,1082,1083],{},"联网搜索","：实时网页检索",[46,1086,1087,1090],{},[21,1088,1089],{},"代码执行","：在线运行 Python",[46,1092,1093,1096],{},[21,1094,1095],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[17,1098,1099,1104],{},[53,1100,1103],{"href":1101,"rel":1102},"https:\u002F\u002Fkouziai.github.io\u002F",[57],"扣子空间介绍"," 提到：\"插件数量突破 500 个\"——可信度待官方确认，但量级在百级别是确定的。",[650,1106,1108],{"id":1107},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[17,1110,1111],{},"发布渠道：",[43,1113,1114,1117,1119,1122,1125,1128],{},[46,1115,1116],{},"飞书机器人（一键绑）",[46,1118,541],{},[46,1120,1121],{},"微信小程序 \u002F 公众号（部分需企业认证）",[46,1123,1124],{},"自定义网页嵌入",[46,1126,1127],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[46,1129,1130],{},"Discord（国际版）",[650,1132,1134],{"id":1133},"国内版-vs-国际版","国内版 vs 国际版",[226,1136,1137,1150],{},[229,1138,1139],{},[232,1140,1141,1144,1147],{},[235,1142,1143],{},"维度",[235,1145,1146],{},"扣子（coze.cn）",[235,1148,1149],{},"Coze（coze.com）",[242,1151,1152,1163,1174,1184,1195,1206],{},[232,1153,1154,1157,1160],{},[247,1155,1156],{},"主力模型",[247,1158,1159],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[247,1161,1162],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[232,1164,1165,1168,1171],{},[247,1166,1167],{},"飞书 \u002F 抖音 \u002F 微信集成",[247,1169,1170],{},"✅ 原生",[247,1172,1173],{},"❌",[232,1175,1176,1179,1182],{},[247,1177,1178],{},"Discord \u002F Slack 集成",[247,1180,1181],{},"⚠️ 有限",[247,1183,1170],{},[232,1185,1186,1189,1192],{},[247,1187,1188],{},"数据存储位置",[247,1190,1191],{},"国内",[247,1193,1194],{},"海外",[232,1196,1197,1200,1203],{},[247,1198,1199],{},"支付",[247,1201,1202],{},"微信 \u002F 支付宝",[247,1204,1205],{},"海外信用卡",[232,1207,1208,1211,1214],{},[247,1209,1210],{},"内容合规",[247,1212,1213],{},"严格审核",[247,1215,1216],{},"宽松",[17,1218,1219,1222,1223,31],{},[21,1220,1221],{},"实践建议","：国内 toC \u002F toB 用扣子，海外项目 \u002F 接 GPT 用 coze.com。两边账号 \u002F 工作流 ",[21,1224,1225],{},"不互通",[13,1227,1228],{"id":1228},"价格与运行成本",[17,1230,1231],{},"国内版（扣子）：",[43,1233,1234,1240,1246],{},[46,1235,1236,1239],{},[21,1237,1238],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[46,1241,1242,1245],{},[21,1243,1244],{},"专业版","：按调用计费，模型 + 高并发，单 token 价比直连 API 略贵但省事",[46,1247,1248,1251],{},[21,1249,1250],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[17,1253,1254,1255,1260],{},"国际版（coze.com）的定价模式据 ",[53,1256,1259],{"href":1257,"rel":1258},"https:\u002F\u002Fdocs.coze.com\u002F",[57],"官方文档"," 描述：\"按你访问和使用的功能分别计费，每个功能有自己的计费模型\"——目前没有简单的\"$X\u002F月\"档位，类似按 token \u002F 工具调用的 metered billing。",[13,1262,1264],{"id":1263},"上手-10-分钟","上手 10 分钟",[91,1266,1267,1276,1279,1282,1284,1287,1290,1293],{},[46,1268,95,1269,100,1272,1275],{},[53,1270,99],{"href":55,"rel":1271},[57],[53,1273,104],{"href":62,"rel":1274},[57],"（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[46,1277,1278],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[46,1280,1281],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[46,1283,181],{},[46,1285,1286],{},"可选：上传 PDF \u002F 文档建知识库",[46,1288,1289],{},"测试一下对话效果",[46,1291,1292],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[46,1294,1295],{},"拿到调用 URL \u002F 飞书机器人 webhook",[17,1297,1298],{},"进阶：在\"资源库\"创建工作流，拖节点 → 调试 → 在 Bot 里\"添加工作流\"引用。",[13,1300,1301],{"id":1301},"与同类怎么选",[226,1303,1304,1326],{},[229,1305,1306],{},[232,1307,1308,1310,1312,1316,1320],{},[235,1309,1143],{},[235,1311,918],{},[235,1313,1314],{},[53,1315,819],{"href":818},[235,1317,1318],{},[53,1319,829],{"href":828},[235,1321,1322],{},[53,1323,1325],{"href":1324},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[242,1327,1328,1342,1357,1373,1388,1401,1415,1429],{},[232,1329,1330,1333,1335,1338,1340],{},[247,1331,1332],{},"开源",[247,1334,1173],{},[247,1336,1337],{},"✅",[247,1339,1337],{},[247,1341,1173],{},[232,1343,1344,1347,1350,1352,1354],{},[247,1345,1346],{},"私有部署",[247,1348,1349],{},"⚠️ 仅企业版",[247,1351,1337],{},[247,1353,1337],{},[247,1355,1356],{},"⚠️",[232,1358,1359,1362,1365,1368,1370],{},[247,1360,1361],{},"上手难度",[247,1363,1364],{},"★ 最简单",[247,1366,1367],{},"★★★",[247,1369,1367],{},[247,1371,1372],{},"★★",[232,1374,1375,1377,1380,1383,1386],{},[247,1376,209],{},[247,1378,1379],{},"★★★★☆",[247,1381,1382],{},"★★★★★",[247,1384,1385],{},"★★★☆☆",[247,1387,1385],{},[232,1389,1390,1393,1395,1397,1399],{},[247,1391,1392],{},"RAG 精度",[247,1394,1385],{},[247,1396,1379],{},[247,1398,1382],{},[247,1400,1385],{},[232,1402,1403,1406,1408,1410,1412],{},[247,1404,1405],{},"字节生态",[247,1407,1382],{},[247,1409,1173],{},[247,1411,1173],{},[247,1413,1414],{},"❌（腾讯系）",[232,1416,1417,1420,1423,1425,1427],{},[247,1418,1419],{},"插件市场",[247,1421,1422],{},"★★★★★ 200+",[247,1424,1385],{},[247,1426,1385],{},[247,1428,1385],{},[232,1430,1431,1434,1436,1438,1440],{},[247,1432,1433],{},"中文社区",[247,1435,1382],{},[247,1437,1379],{},[247,1439,1379],{},[247,1441,1379],{},[17,1443,1444,1447,1448,1453,1454,224],{},[21,1445,1446],{},"怎么选","（综合 ",[53,1449,1452],{"href":1450,"rel":1451},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[57],"BestHub 2025-07"," 和 ",[53,1455,1457],{"href":969,"rel":1456},[57],"博客园 2026-01",[43,1459,1460,1466,1474,1481],{},[46,1461,1462,1465],{},[21,1463,1464],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[46,1467,1468,1471,1472],{},[21,1469,1470],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队"," → ",[53,1473,819],{"href":818},[46,1475,1476,1471,1479],{},[21,1477,1478],{},"核心场景就是企业知识库 QA",[53,1480,829],{"href":828},[46,1482,1483,1471,1486],{},[21,1484,1485],{},"QQ \u002F 微信生态 + 腾讯系",[53,1487,1488],{"href":1324},"元器",[13,1490,1491],{"id":1491},"避坑清单",[43,1493,1494,1504,1510,1524,1533,1538,1549,1555],{},[46,1495,1496,1499,1500,1503],{},[21,1497,1498],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[21,1501,1502],{},"两套独立系统","，账号、Bot、工作流不互通；想\"国内调通后搬到海外\"需要重新搭",[46,1505,1506,1509],{},[21,1507,1508],{},"专业版按调用计费容易超预算","：上线前一定在测试环境跑量估算月成本，否则爆款 Bot 一夜烧爆账户",[46,1511,1512,1515,1516,1518,1519,1523],{},[21,1513,1514],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[337,1517,382],{}," 格式，代码节点要做转换（参考 ",[53,1520,1522],{"href":221,"rel":1521},[57],"火山引擎 2025 教程","）",[46,1525,1526,1529,1530,1532],{},[21,1527,1528],{},"工作流读取飞书表格默认 20 条","：要改 ",[337,1531,339],{},"，最大 500 条；超过 500 要分页或循环",[46,1534,1535,1537],{},[21,1536,779],{},"：单工作流执行有时间上限，记录条数 > 50 时建议在 Bot 里\"异步\"调用，不要直接走工作流",[46,1539,1540,1543,1544,839,1546,1548],{},[21,1541,1542],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[53,1545,819],{"href":818},[53,1547,829],{"href":828}," 自托管",[46,1550,1551,1554],{},[21,1552,1553],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[46,1556,1557,1560],{},[21,1558,1559],{},"审核合规","：国内版对 prompt \u002F 输出有内容审核，金融 \u002F 医疗 \u002F 政治话题可能被拦",[13,1562,1564],{"id":1563},"适合-不适合","适合 \u002F 不适合",[17,1566,1567],{},"✅ 适合：",[43,1569,1570,1573,1576,1579,1582],{},[46,1571,1572],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[46,1574,1575],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[46,1577,1578],{},"个人副业（小红书账号批量内容生成等）",[46,1580,1581],{},"中小企业客服 Bot（3 天上线）",[46,1583,1584],{},"想用豆包 \u002F DeepSeek 国产模型的人",[17,1586,1587],{},"❌ 不适合：",[43,1589,1590,1593,1596,1601,1608],{},[46,1591,1592],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[46,1594,1595],{},"复杂业务系统深度集成（自由度不够）",[46,1597,1598,1599,1523],{},"反感字节生态（去 ",[53,1600,819],{"href":818},[46,1602,1603,1604,839,1606,1523],{},"希望开源 \u002F 完全自主可控（去 ",[53,1605,819],{"href":818},[53,1607,829],{"href":828},[46,1609,1610,1611,839,1613,1617],{},"海外 toB SaaS 产品后端（",[53,1612,819],{"href":818},[53,1614,1616],{"href":1615},"\u002Fagent\u002Fplatform\u002Flangflow.html","Langflow"," 更合适）",[13,1619,845],{"id":845},[43,1621,1622,1637,1654,1673],{},[46,1623,1624,1625,839,1627,839,1629,839,1631,839,1633],{},"同类对比：",[53,1626,819],{"href":818},[53,1628,829],{"href":828},[53,1630,1488],{"href":1324},[53,1632,1616],{"href":1615},[53,1634,1636],{"href":1635},"\u002Fagent\u002Fplatform\u002Fn8n.html","n8n",[46,1638,1639,1640,839,1643,839,1647,839,1651],{},"概念：",[53,1641,919],{"href":1642},"\u002Fwiki\u002Fai-agent.html",[53,1644,1646],{"href":1645},"\u002Fwiki\u002Frag.html","RAG",[53,1648,1650],{"href":1649},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[53,1652,1653],{"href":1642},"Multi-Agent",[46,1655,1656,1657,839,1661,839,1665,839,1669],{},"模型：",[53,1658,1660],{"href":1659},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[53,1662,1664],{"href":1663},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[53,1666,1668],{"href":1667},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[53,1670,1672],{"href":1671},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[46,1674,1675,1676,839,1680],{},"进阶：",[53,1677,1679],{"href":1678},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[53,1681,1683],{"href":1682},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[13,1685,1686],{"id":1686},"来源",[43,1688,1689,1695,1701,1708,1711],{},[46,1690,1691,1692],{},"国内版：",[53,1693,55],{"href":55,"rel":1694},[57],[46,1696,1697,1698],{},"国际版：",[53,1699,62],{"href":62,"rel":1700},[57],[46,1702,1703,1704],{},"官方文档：",[53,1705,1706],{"href":1706,"rel":1707},"https:\u002F\u002Fdocs.coze.com",[57],[46,1709,1710],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[46,1712,1713],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[17,1715,1716,1717,1720],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现价格 \u002F 功能 \u002F 渠道与最新官方信息不一致，请通过 ",[53,1718,1719],{"href":1719},"\u002Fsubmit"," 反馈。",{"title":661,"searchDepth":877,"depth":877,"links":1722},[1723,1724,1730,1731,1732,1733,1734,1735,1736],{"id":937,"depth":880,"text":938},{"id":981,"depth":880,"text":981,"children":1725},[1726,1727,1728,1729],{"id":984,"depth":877,"text":985},{"id":1060,"depth":877,"text":1061},{"id":1107,"depth":877,"text":1108},{"id":1133,"depth":877,"text":1134},{"id":1228,"depth":880,"text":1228},{"id":1263,"depth":880,"text":1264},{"id":1301,"depth":880,"text":1301},{"id":1491,"depth":880,"text":1491},{"id":1563,"depth":880,"text":1564},{"id":845,"depth":880,"text":845},{"id":1686,"depth":880,"text":1686},"platform",5,"Coze 扣子 2026 真实评测：字节低代码 AI Agent 平台，支持可视化工作流、插件市场、知识库和 Bot 发布。本文对比 Dify、FastGPT、n8n，梳理国内版\u002F国际版差异、价格、适合场景和避坑建议。",false,null,[1743,1744],"zh","en",{},[1747,1748,1749,1750,1751],"doubao-pro","deepseek-v3","qwen-max","gpt-4o (国际版)","claude (国际版)",[1753,1754,1755],"需要私有部署、数据不出网（去 Dify \u002F FastGPT）","需要深度定制（去 LangGraph \u002F n8n）","对字节生态依赖反感","\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze","agent",[1759],"web",[1761,1767,1772,1776],{"plan":1762,"price":1763,"limit":1764,"cn_pay":1765,"note":1766},"免费版（扣子）","¥0","免费模型限额 + 基础功能","—","个人试水 \u002F 1-2 天 MVP",{"plan":1244,"price":1768,"limit":1769,"cn_pay":1770,"note":1771},"按调用计费","高级模型 + 高并发 + 商用授权","✅ 微信\u002F支付宝","上量后切",{"plan":1250,"price":1773,"limit":1774,"cn_pay":1337,"note":1775},"议价","VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":1777,"price":1778,"cn_pay":1779,"note":1780,"limit":1765},"国际版 (coze.com)","免费起步 + 用量计费","需海外卡","可接 GPT\u002FClaude\u002FGemini","免费档 \u002F 专业版按调用计费 \u002F 企业版议价","2026-06-18",{"power":1784,"ux":1738,"price":1784,"cn_support":1738,"stability":1784},4,{"title":918,"description":1739},"Coze 扣子评测 2026：字节 AI Agent 平台，对比 Dify",[1788,1790,1792,1794,1796],{"title":1789,"url":55},"Coze 国内版（扣子）",{"title":1791,"url":62},"Coze 国际版",{"title":1793,"url":1706},"Coze 官方文档",{"title":1795,"url":969},"Coze vs Dify vs FastGPT 选型 2026",{"title":1797,"url":1450},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[1800,1801,1802,1803,1804],"想 1 小时做出一个 Bot 的产品 \u002F 运营","需要发布到飞书 \u002F 微信 \u002F 抖音的 Bot","工作流可视化编排（不想写代码）","需要批量调用国内大模型 + 飞书多维表格的工作流","C 端 \u002F 轻量 toB 场景","字节出品的 Agent 搭建平台，国内 \u002F 国际双版本",[1807,1808,1809,1810,1811,1812],"agent-platform","low-code","workflow","bot-marketplace","bytedance","no-code","2026-06-24","想最快做出一个能用的 Bot，从 Coze 起步。要私有部署或开源协作，去 Dify \u002F FastGPT。","_ax6ctOSBd7giI3x-ID55Xvgk3Q0NZV5mixd0fcWkJg",{"id":1817,"title":819,"alternatives":1818,"api_compatible":1741,"body":1821,"category":1737,"chinese_friendly":1784,"cover":2812,"description":2813,"domestic":1740,"extension":907,"faq":1741,"free":1740,"github":2103,"languages":2814,"meta":2816,"models":1741,"navigation":564,"notSuitable":1741,"opensource":564,"path":2817,"pillar":1757,"platforms":2818,"priceTable":2822,"pricing":2839,"published":1782,"relatedPlaybooks":1741,"relatedReviews":1741,"score":2840,"self_host":564,"seo":2841,"seoTitle":2842,"slug":913,"sources":2843,"stem":2855,"suitable":1741,"tagline":2856,"tags":2857,"updated":1813,"verdict":2863,"website":2757,"__hash__":2864},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fdify.md",[912,914,1819,1820],"agent\u002Fplatform\u002Fn8n","agent\u002Fplatform\u002Flangflow",{"type":10,"value":1822,"toc":2790},[1823,1825,1842,1847,1849,1853,1856,1924,1927,1931,1934,1948,1964,1968,1971,1982,1986,1994,2005,2009,2012,2014,2018,2027,2088,2095,2099,2107,2170,2173,2193,2197,2200,2260,2266,2268,2361,2364,2393,2395,2523,2535,2570,2572,2644,2646,2648,2668,2670,2699,2701,2748,2750,2781,2786],[13,1824,938],{"id":937},[139,1826,1828,1833],{"className":1827},[142,143,144],[17,1829,1830,1832],{},[21,1831,946],{}," Dify 是开源 LLMOps 平台的事实标准。GitHub 13 万 star、累计 100 万+ 生产 app（据 chatforest.com 2026 评测引用 Dify 官方数据），把\"可视化工作流编排 + RAG 知识库 + Agent + MCP 协议\"打包成一个 Docker Compose 能跑起来的东西。",[17,1834,962,1835,1838,1839,1841],{},[21,1836,1837],{},"完全开源 + 模型不挑食","——同一个工作流里同时调 OpenAI、Anthropic、Ollama 本地、DeepSeek、Qwen 都行。代价是部署比 ",[53,1840,918],{"href":864}," 折腾，新手得读 1-2 小时文档。",[974,1843,1844],{},[17,1845,1846],{},"来源说明：本文基于 docs.dify.ai 官方文档、langgenius\u002Fdify GitHub 仓库、第三方评测（besthub.dev \u002F chatforest.com \u002F joshuaopolko.com \u002F zhihu 知名专栏）综合归纳。版本号会变，部署要求请以官方最新文档为准。",[13,1848,981],{"id":981},[650,1850,1852],{"id":1851},"可视化工作流chatflow-workflow","可视化工作流（Chatflow + Workflow）",[17,1854,1855],{},"Dify 把 LLM 应用拆成两种\"应用类型\"：",[226,1857,1858,1870],{},[229,1859,1860],{},[232,1861,1862,1865,1867],{},[235,1863,1864],{},"类型",[235,1866,487],{},[235,1868,1869],{},"编排范式",[242,1871,1872,1885,1898,1911],{},[232,1873,1874,1879,1882],{},[247,1875,1876],{},[21,1877,1878],{},"Chatbot",[247,1880,1881],{},"简单对话机器人",[247,1883,1884],{},"prompt + tools",[232,1886,1887,1892,1895],{},[247,1888,1889],{},[21,1890,1891],{},"Agent",[247,1893,1894],{},"自主多步任务",[247,1896,1897],{},"ReAct \u002F Function Calling",[232,1899,1900,1905,1908],{},[247,1901,1902],{},[21,1903,1904],{},"Chatflow",[247,1906,1907],{},"对话型工作流（多轮 + 分支）",[247,1909,1910],{},"节点 DAG，带聊天上下文",[232,1912,1913,1918,1921],{},[247,1914,1915],{},[21,1916,1917],{},"Workflow",[247,1919,1920],{},"单次输入→输出（API 模式）",[247,1922,1923],{},"节点 DAG，无对话状态",[17,1925,1926],{},"节点类型覆盖：LLM、知识检索、HTTP 请求、代码执行（Python \u002F JS）、条件分支、迭代、变量聚合、参数提取、问题分类——满足\"用拖拽实现可观测的 LLM pipeline\"。",[650,1928,1930],{"id":1929},"rag-知识库","RAG 知识库",[17,1932,1933],{},"内置完整 RAG 链路：",[91,1935,1936,1939,1942,1945],{},[46,1937,1938],{},"上传文档（PDF \u002F Word \u002F Markdown \u002F 网页）",[46,1940,1941],{},"自动分块 + embedding（可配置分段策略和 embedding 模型）",[46,1943,1944],{},"混合检索（向量 + 全文 + 重排）",[46,1946,1947],{},"引用溯源（回答末尾自动附原文片段）",[17,1949,1950,1951,1956,1957,1960,1961,1963],{},"注意：根据 ",[53,1952,1955],{"href":1953,"rel":1954},"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F1887141987838309480",[57],"知乎 LLM 实战笔记 2025-03 对比"," 的实测，Dify ",[21,1958,1959],{},"社区版默认是基础语义检索","，企业版才解锁多路召回 + 重排。RAG 极致精度场景仍推荐 ",[53,1962,829],{"href":828},"（实测准确率高 10+ 个百分点），Dify 胜在工作流而非纯 RAG。",[650,1965,1967],{"id":1966},"模型生态40-提供商","模型生态：40+ 提供商",[17,1969,1970],{},"Dify 通过插件市场接入主流模型——OpenAI、Anthropic、Google Gemini、Azure、AWS Bedrock、Cohere、xAI、DeepSeek、Qwen、智谱、文心、豆包、月之暗面、Ollama、LM Studio、Replicate、Together AI、OpenRouter……几乎你能数出来的 LLM 提供商都在。",[17,1972,1973,1974,1976,1977,1981],{},"国产模型原生支持（不像 ",[53,1975,829],{"href":828}," 需要 ",[53,1978,1980],{"href":1979},"\u002Fcoding\u002Fapi\u002Fone-api.html","OneAPI"," 中转），是 Dify 在国内 toB 场景流行的关键。",[650,1983,1985],{"id":1984},"mcp-协议支持","MCP 协议支持",[17,1987,1988,1989,1993],{},"Dify 较早接入了 ",[53,1990,1992],{"href":1991},"\u002Fwiki\u002Fmcp.html","MCP（Model Context Protocol）","，工作流可以直接调 MCP Server 暴露的 tools。意味着你可以让 Dify 工作流：",[43,1995,1996,1999,2002],{},[46,1997,1998],{},"通过 MCP 调本地 PostgreSQL \u002F SQLite",[46,2000,2001],{},"通过 MCP 调 GitHub \u002F Slack \u002F Linear",[46,2003,2004],{},"通过 MCP 调自家内部系统（写一个 MCP Server 即可）",[650,2006,2008],{"id":2007},"api-first","API-first",[17,2010,2011],{},"每个 app 自动暴露 REST API，参数和返回结构自动生成 OpenAPI Schema。集成到自家产品里不需要写包装代码，给前端 \u002F 微信小程序 \u002F 飞书机器人调用都方便。",[13,2013,1228],{"id":1228},[650,2015,2017],{"id":2016},"云版difyai","云版（dify.ai）",[17,2019,2020,2021,2026],{},"根据 ",[53,2022,2025],{"href":2023,"rel":2024},"https:\u002F\u002Fwww.tooljunction.io\u002Fai-tools\u002Fdify-ai",[57],"tooljunction.io 2026 评测"," 引用的官方定价：",[226,2028,2029,2042],{},[229,2030,2031],{},[232,2032,2033,2036,2039],{},[235,2034,2035],{},"套餐",[235,2037,2038],{},"价格",[235,2040,2041],{},"主要限制",[242,2043,2044,2055,2066,2077],{},[232,2045,2046,2049,2052],{},[247,2047,2048],{},"Sandbox",[247,2050,2051],{},"免费",[247,2053,2054],{},"200 次模型调用，1 app，5MB 知识库",[232,2056,2057,2060,2063],{},[247,2058,2059],{},"Professional",[247,2061,2062],{},"$59\u002F月起",[247,2064,2065],{},"5000 调用\u002F月，多 app，50MB 知识库",[232,2067,2068,2071,2074],{},[247,2069,2070],{},"Team",[247,2072,2073],{},"$159\u002F月起",[247,2075,2076],{},"团队协作、SSO",[232,2078,2079,2082,2085],{},[247,2080,2081],{},"Enterprise",[247,2083,2084],{},"联系销售",[247,2086,2087],{},"定制 SLA、私有云",[17,2089,2090,2091,2094],{},"注意：云版价格只是 Dify 平台费，",[21,2092,2093],{},"模型 API 费用另算","（自带 OpenAI \u002F Anthropic key）。",[650,2096,2098],{"id":2097},"自托管推荐","自托管（推荐）",[17,2100,2101,2106],{},[53,2102,2105],{"href":2103,"rel":2104},"https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify",[57],"官方 GitHub 仓库"," 提供 Docker Compose 部署，社区版完全免费可商用：",[655,2108,2112],{"className":2109,"code":2110,"language":2111,"meta":661,"style":661},"language-bash shiki shiki-themes github-light github-dark","git clone https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\ncd dify\u002Fdocker\ncp .env.example .env\ndocker compose up -d\n# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n","bash",[337,2113,2114,2130,2139,2150,2164],{"__ignoreMap":661},[2115,2116,2119,2123,2127],"span",{"class":2117,"line":2118},"line",1,[2115,2120,2122],{"class":2121},"sScJk","git",[2115,2124,2126],{"class":2125},"sZZnC"," clone",[2115,2128,2129],{"class":2125}," https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\n",[2115,2131,2132,2136],{"class":2117,"line":880},[2115,2133,2135],{"class":2134},"sj4cs","cd",[2115,2137,2138],{"class":2125}," dify\u002Fdocker\n",[2115,2140,2141,2144,2147],{"class":2117,"line":877},[2115,2142,2143],{"class":2121},"cp",[2115,2145,2146],{"class":2125}," .env.example",[2115,2148,2149],{"class":2125}," .env\n",[2115,2151,2152,2155,2158,2161],{"class":2117,"line":1784},[2115,2153,2154],{"class":2121},"docker",[2115,2156,2157],{"class":2125}," compose",[2115,2159,2160],{"class":2125}," up",[2115,2162,2163],{"class":2134}," -d\n",[2115,2165,2166],{"class":2117,"line":1738},[2115,2167,2169],{"class":2168},"sJ8bj","# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[17,2171,2172],{},"硬件门槛（社区共识，非官方硬性要求）：",[43,2174,2175,2181,2187],{},[46,2176,2177,2180],{},[21,2178,2179],{},"最低","：2 核 4G，纯外接 API 模式",[46,2182,2183,2186],{},[21,2184,2185],{},"推荐","：4 核 8G + 至少 30GB 磁盘（向量数据 + 文件存储）",[46,2188,2189,2192],{},[21,2190,2191],{},"企业","：8 核 16G+，单机日活上千",[650,2194,2196],{"id":2195},"真实-tco","真实 TCO",[17,2198,2199],{},"按一家中小团队 3 年场景估算（基于上面引用的多份评测交叉对比）：",[226,2201,2202,2215],{},[229,2203,2204],{},[232,2205,2206,2209,2212],{},[235,2207,2208],{},"成本项",[235,2210,2211],{},"云版 Professional",[235,2213,2214],{},"自托管",[242,2216,2217,2228,2238,2249],{},[232,2218,2219,2222,2225],{},[247,2220,2221],{},"平台费",[247,2223,2224],{},"~$2,100（3 年）",[247,2226,2227],{},"$0",[232,2229,2230,2233,2235],{},[247,2231,2232],{},"服务器",[247,2234,2227],{},[247,2236,2237],{},"~$50\u002F月 × 36 = $1,800",[232,2239,2240,2243,2246],{},[247,2241,2242],{},"模型 API",[247,2244,2245],{},"与下同",[247,2247,2248],{},"与上同",[232,2250,2251,2254,2257],{},[247,2252,2253],{},"运维人力",[247,2255,2256],{},"0",[247,2258,2259],{},"约 0.2 人月",[17,2261,2262,2265],{},[21,2263,2264],{},"结论","：日活 \u003C 100 用云版省心；> 500 或数据敏感场景自托管 ROI 更好。",[13,2267,1264],{"id":1263},[655,2269,2271],{"className":2109,"code":2270,"language":2111,"meta":661,"style":661},"# 1. 自托管（社区版）\ngit clone https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\ncd dify\u002Fdocker\ncp .env.example .env\ndocker compose up -d\n\n# 2. 浏览器打开 http:\u002F\u002Flocalhost\n#    首次会让你创建 admin 账号\n\n# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n\n# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[337,2272,2273,2278,2286,2292,2300,2310,2316,2322,2328,2333,2339,2344,2350,2355],{"__ignoreMap":661},[2115,2274,2275],{"class":2117,"line":2118},[2115,2276,2277],{"class":2168},"# 1. 自托管（社区版）\n",[2115,2279,2280,2282,2284],{"class":2117,"line":880},[2115,2281,2122],{"class":2121},[2115,2283,2126],{"class":2125},[2115,2285,2129],{"class":2125},[2115,2287,2288,2290],{"class":2117,"line":877},[2115,2289,2135],{"class":2134},[2115,2291,2138],{"class":2125},[2115,2293,2294,2296,2298],{"class":2117,"line":1784},[2115,2295,2143],{"class":2121},[2115,2297,2146],{"class":2125},[2115,2299,2149],{"class":2125},[2115,2301,2302,2304,2306,2308],{"class":2117,"line":1738},[2115,2303,2154],{"class":2121},[2115,2305,2157],{"class":2125},[2115,2307,2160],{"class":2125},[2115,2309,2163],{"class":2134},[2115,2311,2313],{"class":2117,"line":2312},6,[2115,2314,2315],{"emptyLinePlaceholder":564},"\n",[2115,2317,2319],{"class":2117,"line":2318},7,[2115,2320,2321],{"class":2168},"# 2. 浏览器打开 http:\u002F\u002Flocalhost\n",[2115,2323,2325],{"class":2117,"line":2324},8,[2115,2326,2327],{"class":2168},"#    首次会让你创建 admin 账号\n",[2115,2329,2331],{"class":2117,"line":2330},9,[2115,2332,2315],{"emptyLinePlaceholder":564},[2115,2334,2336],{"class":2117,"line":2335},10,[2115,2337,2338],{"class":2168},"# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n",[2115,2340,2342],{"class":2117,"line":2341},11,[2115,2343,2315],{"emptyLinePlaceholder":564},[2115,2345,2347],{"class":2117,"line":2346},12,[2115,2348,2349],{"class":2168},"# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n",[2115,2351,2352],{"class":2117,"line":926},[2115,2353,2354],{"class":2168},"# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n",[2115,2356,2358],{"class":2117,"line":2357},14,[2115,2359,2360],{"class":2168},"# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[13,2362,2363],{"id":2363},"国内使用注意事项",[91,2365,2366,2372,2378,2384],{},[46,2367,2368,2371],{},[21,2369,2370],{},"云版 dify.ai 直连国内访问稳定但需要付款","——支持国际信用卡 \u002F Stripe",[46,2373,2374,2377],{},[21,2375,2376],{},"自托管 + 国产模型"," = 完全国内闭环，是 Dify 在国内最大优势",[46,2379,2380,2383],{},[21,2381,2382],{},"Docker 镜像拉取","：国内可能慢，建议配 Docker registry 镜像（阿里云 \u002F 网易）",[46,2385,2386,2389,2390,2392],{},[21,2387,2388],{},"数据合规","：完全自托管时，数据零外泄；某些金融 \u002F 政府客户因此从 ",[53,2391,918],{"href":864}," 迁到 Dify",[13,2394,1301],{"id":1301},[226,2396,2397,2417],{},[229,2398,2399],{},[232,2400,2401,2403,2405,2409,2413],{},[235,2402,1143],{},[235,2404,819],{},[235,2406,2407],{},[53,2408,918],{"href":864},[235,2410,2411],{},[53,2412,829],{"href":828},[235,2414,2415],{},[53,2416,1636],{"href":1635},[242,2418,2419,2432,2444,2457,2469,2482,2496,2509],{},[232,2420,2421,2423,2425,2427,2429],{},[247,2422,1332],{},[247,2424,1337],{},[247,2426,1173],{},[247,2428,1337],{},[247,2430,2431],{},"✅（fair-code）",[232,2433,2434,2436,2438,2440,2442],{},[247,2435,1346],{},[247,2437,1337],{},[247,2439,1173],{},[247,2441,1337],{},[247,2443,1337],{},[232,2445,2446,2448,2450,2453,2455],{},[247,2447,1361],{},[247,2449,1385],{},[247,2451,2452],{},"★★☆☆☆ 最简单",[247,2454,1385],{},[247,2456,1379],{},[232,2458,2459,2461,2463,2465,2467],{},[247,2460,209],{},[247,2462,1382],{},[247,2464,1379],{},[247,2466,1385],{},[247,2468,1382],{},[232,2470,2471,2473,2475,2477,2479],{},[247,2472,1392],{},[247,2474,1379],{},[247,2476,1385],{},[247,2478,1382],{},[247,2480,2481],{},"★★☆☆☆",[232,2483,2484,2487,2489,2491,2494],{},[247,2485,2486],{},"模型生态",[247,2488,1382],{},[247,2490,1379],{},[247,2492,2493],{},"★★★☆☆（OneAPI 中转）",[247,2495,1379],{},[232,2497,2498,2501,2503,2505,2507],{},[247,2499,2500],{},"中文场景",[247,2502,1379],{},[247,2504,1382],{},[247,2506,1379],{},[247,2508,1385],{},[232,2510,2511,2514,2516,2519,2521],{},[247,2512,2513],{},"字节生态绑定",[247,2515,1173],{},[247,2517,2518],{},"✅（飞书\u002F抖音深度集成）",[247,2520,1173],{},[247,2522,1173],{},[17,2524,2525,2527,2528,1453,2531,2534],{},[21,2526,1446],{},"（基于 ",[53,2529,1452],{"href":1450,"rel":2530},[57],[53,2532,1457],{"href":969,"rel":2533},[57]," 两份选型指南综合）：",[43,2536,2537,2543,2550,2556,2563],{},[46,2538,2539,2542],{},[21,2540,2541],{},"数据必须不出内网 + 工作流复杂"," → Dify",[46,2544,2545,1471,2548],{},[21,2546,2547],{},"个人 \u002F 小团队 \u002F 快速原型 + 字节生态",[53,2549,918],{"href":864},[46,2551,2552,1471,2554],{},[21,2553,1478],{},[53,2555,829],{"href":828},[46,2557,2558,1471,2561],{},[21,2559,2560],{},"重点是连接外部 SaaS（Slack \u002F Notion \u002F 数据库）",[53,2562,1636],{"href":1635},[46,2564,2565,1471,2568],{},[21,2566,2567],{},"要画图式表达 LangChain pipeline",[53,2569,1616],{"href":1615},[13,2571,1491],{"id":1491},[43,2573,2574,2580,2596,2607,2620,2626,2632,2638],{},[46,2575,2576,2579],{},[21,2577,2578],{},"社区版与企业版差距比想象大","：多路召回 \u002F 重排序 \u002F 单点登录 \u002F 审计日志都在企业版。社区版做生产前心里要有数。",[46,2581,2582,126,2588,2591,2592,2595],{},[21,2583,2584,2587],{},[337,2585,2586],{},".env"," 文件改完忘 restart",[337,2589,2590],{},"docker compose down && up -d","，不是 ",[337,2593,2594],{},"restart","——后者不重新加载 env。",[46,2597,2598,126,2601,2606],{},[21,2599,2600],{},"大版本升级会破坏数据库 schema",[53,2602,2605],{"href":2603,"rel":2604},"https:\u002F\u002Fdocs.dify.ai\u002Fzh-hans",[57],"官方升级文档"," 有详细 migration 步骤，跨大版本（如 0.x → 1.x）务必先备份 PostgreSQL 卷。生产环境强烈建议跑 staging 完整验证后再升。",[46,2608,2609,2612,2613,2615,2616,2619],{},[21,2610,2611],{},"RAG 文件大小社区版默认 15MB","：根据上述知乎实测，超过会失败。改 ",[337,2614,2586],{}," 的 ",[337,2617,2618],{},"UPLOAD_FILE_SIZE_LIMIT"," 并重启容器。",[46,2621,2622,2625],{},[21,2623,2624],{},"代码节点的 Sandbox 性能差","：内置代码执行节点跑在隔离容器里启动慢、内存小。生产高频用建议改成 HTTP 节点调外部服务。",[46,2627,2628,2631],{},[21,2629,2630],{},"工作流\"迭代节点\"循环上限","：默认 10 次，复杂 ReAct agent 容易撞天花板，需要在节点设置里调高。",[46,2633,2634,2637],{},[21,2635,2636],{},"Dify Plugin 系统是新东西","：1.0 后引入的 Plugin 体系替代了原来的 Tools\u002FModels 配置方式，老教程可能已过时——以最新官方文档为准。",[46,2639,2640,2643],{},[21,2641,2642],{},"国内 Docker 拉取镜像慢","：先配国内 registry，否则首次 pull 可能要 30+ 分钟。",[13,2645,1564],{"id":1563},[17,2647,1567],{},[43,2649,2650,2653,2656,2659,2662,2665],{},[46,2651,2652],{},"中大型企业 LLM 中台建设",[46,2654,2655],{},"需要私有化部署（金融 \u002F 医疗 \u002F 政府）",[46,2657,2658],{},"想做\"AI 工作流即产品\"的开发团队",[46,2660,2661],{},"同时需要 RAG + Agent + Workflow 三件套",[46,2663,2664],{},"想用国产模型 + 国际模型混合编排",[46,2666,2667],{},"已经接受 Docker + 一定运维投入",[17,2669,1587],{},[43,2671,2672,2678,2684,2687,2693],{},[46,2673,2674,2675,2677],{},"纯个人玩家做对话机器人（",[53,2676,918],{"href":864}," 更快）",[46,2679,2680,2681,2683],{},"只想做企业知识库 QA（",[53,2682,829],{"href":828}," RAG 更专）",[46,2685,2686],{},"团队完全没运维能力（云版还行，自托管会踩坑）",[46,2688,2689,2690,2692],{},"需要深度对接字节飞书 \u002F 抖音（",[53,2691,918],{"href":864}," 原生）",[46,2694,2695,2696,2698],{},"工作流核心是连接 100+ SaaS（",[53,2697,1636],{"href":1635}," 节点更全）",[13,2700,845],{"id":845},[43,2702,2703,2713,2725,2740],{},[46,2704,1624,2705,839,2707,839,2709,839,2711],{},[53,2706,918],{"href":864},[53,2708,829],{"href":828},[53,2710,1636],{"href":1635},[53,2712,1616],{"href":1615},[46,2714,2715,2716,839,2718,839,2720,839,2723],{},"概念基础：",[53,2717,919],{"href":1642},[53,2719,1646],{"href":1645},[53,2721,2722],{"href":1991},"MCP",[53,2724,1650],{"href":1649},[46,2726,2727,2728,839,2732,839,2736,839,2738],{},"模型选型：",[53,2729,2731],{"href":2730},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[53,2733,2735],{"href":2734},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[53,2737,1664],{"href":1663},[53,2739,1672],{"href":1671},[46,2741,1675,2742,839,2746],{},[53,2743,2745],{"href":2744},"\u002Fwiki\u002Ffine-tuning-vs-rag.html","Fine-tuning vs RAG",[53,2747,1683],{"href":1682},[13,2749,1686],{"id":1686},[43,2751,2752,2759,2765,2771,2778],{},[46,2753,2754,2755],{},"官网：",[53,2756,2757],{"href":2757,"rel":2758},"https:\u002F\u002Fdify.ai",[57],[46,2760,2761,2762],{},"中文文档：",[53,2763,2603],{"href":2603,"rel":2764},[57],[46,2766,2767,2768],{},"GitHub：",[53,2769,2103],{"href":2103,"rel":2770},[57],[46,2772,2773,2774],{},"官方定价：",[53,2775,2776],{"href":2776,"rel":2777},"https:\u002F\u002Fdify.ai\u002Fpricing",[57],[46,2779,2780],{},"第三方评测：tooljunction.io \u002F chatforest.com \u002F besthub.dev \u002F joshuaopolko.com \u002F 知乎 LLM 实战笔记",[17,2782,2783,2784,1720],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现版本号 \u002F 价格 \u002F 功能与最新官方信息不一致，请通过 ",[53,2785,1719],{"href":1719},[2787,2788,2789],"style",{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":661,"searchDepth":877,"depth":877,"links":2791},[2792,2793,2800,2805,2806,2807,2808,2809,2810,2811],{"id":937,"depth":880,"text":938},{"id":981,"depth":880,"text":981,"children":2794},[2795,2796,2797,2798,2799],{"id":1851,"depth":877,"text":1852},{"id":1929,"depth":877,"text":1930},{"id":1966,"depth":877,"text":1967},{"id":1984,"depth":877,"text":1985},{"id":2007,"depth":877,"text":2008},{"id":1228,"depth":880,"text":1228,"children":2801},[2802,2803,2804],{"id":2016,"depth":877,"text":2017},{"id":2097,"depth":877,"text":2098},{"id":2195,"depth":877,"text":2196},{"id":1263,"depth":880,"text":1264},{"id":2363,"depth":880,"text":2363},{"id":1301,"depth":880,"text":1301},{"id":1491,"depth":880,"text":1491},{"id":1563,"depth":880,"text":1564},{"id":845,"depth":880,"text":845},{"id":1686,"depth":880,"text":1686},"\u002Fimg\u002Ftools\u002Fdify.webp","Dify 2026 真实评测：开源 LLMOps 与 AI Agent 平台，集工作流编排、RAG 知识库、Agent、MCP 和多模型接入于一体。本文对比 Coze、FastGPT、n8n，整理自托管部署、云版价格、适合团队和避坑建议。",[1743,1744,2815],"ja",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fdify",[2819,2820,2821,2154],"windows","macos","linux",[2823,2827,2831,2835],{"plan":2824,"price":2227,"features":2825,"notes":2826},"Self-hosted（开源版）","Docker 一键部署 + 全部核心功能（工作流 \u002F RAG \u002F Agent \u002F MCP）+ 接任意模型 API","私有部署 \u002F 完全免费 \u002F Apache 2.0",{"plan":2828,"price":2227,"features":2829,"notes":2830},"Cloud Sandbox（免费云）","官方托管试水档，含基础调用配额","免运维 \u002F 试水 POC",{"plan":2832,"price":2062,"features":2833,"notes":2834},"Cloud Professional","更高调用额度 + 团队协作 + 商用支持","商用云首选",{"plan":2836,"price":2837,"features":2838,"notes":2084},"Cloud Team \u002F Enterprise","Custom","更大配额 + SLA + 私有部署支持 + 合规","云版 SaaS（免费档 \u002F Professional $59\u002F月起） + 开源自托管完全免费",{"power":1738,"ux":1784,"price":1738,"cn_support":1784,"stability":1784},{"title":819,"description":2813},"Dify 评测 2026：开源 LLMOps 与 AI Agent 平台，自托管指南",[2844,2846,2848,2850,2852],{"title":2845,"url":2603},"Dify 官方文档（中文）",{"title":2847,"url":2103},"Dify GitHub",{"title":2849,"url":2776},"Dify 官方定价",{"title":2851,"url":1450},"Coze vs Dify vs FastGPT 选型",{"title":2853,"url":2854},"Dify Self-Hosted Guide 2026","https:\u002F\u002Fjoshuaopolko.com\u002Fdify-self-hosted-guide","tools\u002Fagent\u002Fplatform\u002Fdify","开源 LLMOps 平台，私有部署 Agent 首选",[1807,2858,2859,2860,1809,2861,2862],"opensource","self-host","rag","llmops","mcp","想私有部署、想接全球任意模型，Dify 是答案。比 Coze 工程化、上手陡一点；比 FastGPT 工作流强、RAG 略弱。","0LsPnncTjEa2rm_jLZvwR6L0Zv1hFNDKVRmDyloL7uo",{"id":2866,"title":829,"alternatives":2867,"api_compatible":2870,"body":2872,"category":1737,"chinese_friendly":1738,"cover":3876,"description":3877,"domestic":1740,"extension":907,"faq":1741,"free":1740,"github":3839,"languages":3878,"meta":3879,"models":3880,"navigation":564,"notSuitable":3884,"opensource":564,"path":3888,"pillar":1757,"platforms":3889,"priceTable":3890,"pricing":3912,"published":1782,"relatedPlaybooks":3913,"relatedReviews":3915,"score":3917,"self_host":564,"seo":3918,"seoTitle":1741,"slug":914,"sources":3919,"stem":3930,"suitable":3931,"tagline":3937,"tags":3938,"updated":1813,"verdict":3942,"website":3833,"__hash__":3943},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt.md",[913,912,2868,2869],"agent\u002Fplatform\u002Fragflow","agent\u002Fplatform\u002Fanythingllm",[2871],"openai",{"type":10,"value":2873,"toc":3858},[2874,2876,2905,2916,2918,2922,2925,2939,2942,2968,2972,2979,3011,3018,3022,3075,3082,3085,3088,3091,3098,3144,3150,3154,3185,3189,3295,3298,3301,3305,3313,3435,3450,3452,3608,3616,3650,3656,3658,3732,3734,3736,3756,3758,3776,3778,3825,3827,3850,3855],[13,2875,938],{"id":937},[139,2877,2879,2894],{"className":2878},[142,143,144],[17,2880,2881,2883,2884,2889,2890,2893],{},[21,2882,946],{}," labring 团队开源的 LLM 知识库 RAG 平台，27k+ GitHub star（截至 2026-03 数据，",[53,2885,2888],{"href":2886,"rel":2887},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2632669",[57],"腾讯云 2026-03 教程"," 引用），Apache 2.0 许可证可商用。",[21,2891,2892],{},"核心优势是 RAG 链路工程做得极细","——问题预处理、混合检索、重排序、上下文组装、答案生成每一步都可视化调参。",[17,2895,2896,2897,2900,2901,2904],{},"最大价值在 ",[21,2898,2899],{},"国内企业知识库 + 私有部署"," 场景。代价是 ",[21,2902,2903],{},"配置门槛","：docker 基础 + 网络知识 + 一定运维能力。",[974,2906,2907],{},[17,2908,2909,2910,2915],{},"来源说明：本文基于 fastgpt.io 官方页面、github.com\u002Flabring\u002FFastGPT 仓库、",[53,2911,2914],{"href":2912,"rel":2913},"https:\u002F\u002Fwww.nanhuantech.com\u002Fzh\u002Fai-reviews\u002Ffastgpt-2025-review",[57],"南环 AI 2026-05 评测","、腾讯云开发者社区 2026-03 部署教程综合整理。版本迭代较快，命令和价格请以最新官方文档为准。",[13,2917,981],{"id":981},[650,2919,2921],{"id":2920},"知识库管理核心能力","知识库管理（核心能力）",[17,2923,2924],{},"支持文件类型：",[43,2926,2927,2930,2933,2936],{},[46,2928,2929],{},"文档：PDF \u002F Word \u002F Markdown \u002F TXT \u002F HTML",[46,2931,2932],{},"表格：Excel \u002F CSV",[46,2934,2935],{},"网页：URL 抓取 + 定时同步",[46,2937,2938],{},"API：通过接口推送内容",[17,2940,2941],{},"处理流程：上传 → 文本切分 → 向量化 → 存储 → 可用于问答。支持：",[43,2943,2944,2950,2956,2962],{},[46,2945,2946,2949],{},[21,2947,2948],{},"文件夹分组","：不同主题 \u002F 部门分类",[46,2951,2952,2955],{},[21,2953,2954],{},"多种分块策略","：默认按段落 \u002F 按 token 数 \u002F 自定义",[46,2957,2958,2961],{},[21,2959,2960],{},"批量导入","：脚本化大批量同步",[46,2963,2964,2967],{},[21,2965,2966],{},"定时同步","：网页源自动更新",[650,2969,2971],{"id":2970},"rag-流程编排最强卖点","RAG 流程编排（最强卖点）",[17,2973,2974,2978],{},[53,2975,2977],{"href":2912,"rel":2976},[57],"南环 AI 2026 评测"," 总结的 FastGPT RAG 链路：",[91,2980,2981,2987,2993,2999,3005],{},[46,2982,2983,2986],{},[21,2984,2985],{},"问题预处理","：改写 \u002F 扩展 \u002F 错词纠正（提升召回率）",[46,2988,2989,2992],{},[21,2990,2991],{},"检索策略","：语义检索 \u002F 关键词 BM25 \u002F 混合检索，可调相似度阈值",[46,2994,2995,2998],{},[21,2996,2997],{},"重排序（Rerank）","：对初步检索结果二次排序，提升相关性",[46,3000,3001,3004],{},[21,3002,3003],{},"上下文组装","：最优 chunk + 问题 → prompt",[46,3006,3007,3010],{},[21,3008,3009],{},"答案生成","：调大模型基于检索结果回答 + 引用标注",[17,3012,3013,3014,3017],{},"每一步都可视化调参，这是 FastGPT 比 Coze \u002F Dify 在 ",[21,3015,3016],{},"纯知识库 QA 精度","上更高的原因。",[650,3019,3021],{"id":3020},"多模型支持不绑定厂商","多模型支持（不绑定厂商）",[226,3023,3024,3034],{},[229,3025,3026],{},[232,3027,3028,3031],{},[235,3029,3030],{},"模型类别",[235,3032,3033],{},"支持",[242,3035,3036,3044,3051,3059,3067],{},[232,3037,3038,3041],{},[247,3039,3040],{},"国产闭源",[247,3042,3043],{},"豆包 \u002F 通义千问 \u002F 文心一言 \u002F 智谱 GLM \u002F Moonshot Kimi \u002F MiniMax",[232,3045,3046,3048],{},[247,3047,1332],{},[247,3049,3050],{},"LLaMA \u002F Qwen \u002F ChatGLM \u002F DeepSeek 等可自部署",[232,3052,3053,3056],{},[247,3054,3055],{},"OpenAI 系",[247,3057,3058],{},"GPT-5 \u002F GPT-5 mini \u002F o3",[232,3060,3061,3064],{},[247,3062,3063],{},"Claude 系",[247,3065,3066],{},"Sonnet 4 \u002F Opus 4 \u002F Haiku",[232,3068,3069,3072],{},[247,3070,3071],{},"嵌入 \u002F 重排",[247,3073,3074],{},"BGE \u002F m3e \u002F OpenAI text-embedding-3",[17,3076,3077,3078,3081],{},"可以在 ",[21,3079,3080],{},"应用级别","为不同知识库 \u002F 不同场景配置不同模型，做\"低成本 embedding + 高质量 LLM 生成\"组合。",[650,3083,3084],{"id":3084},"工作流与高级编排",[17,3086,3087],{},"新版本（v4.14.x）支持类似 Dify 的工作流节点编排——条件分支、循环、HTTP 调用、代码节点。能做\"分类 → 路由到不同子知识库 → 不同模型回答\"这类复杂场景。",[650,3089,3090],{"id":3090},"多向量库选择",[17,3092,3093,3097],{},[53,3094,3096],{"href":2886,"rel":3095},[57],"腾讯云教程"," 公开的 4 种向量后端：",[226,3099,3100,3110],{},[229,3101,3102],{},[232,3103,3104,3107],{},[235,3105,3106],{},"后端",[235,3108,3109],{},"适用",[242,3111,3112,3120,3128,3136],{},[232,3113,3114,3117],{},[247,3115,3116],{},"PgVector",[247,3118,3119],{},"5000 万索引以下，新手 \u002F 小规模",[232,3121,3122,3125],{},[247,3123,3124],{},"Milvus",[247,3126,3127],{},"亿级以上，高性能",[232,3129,3130,3133],{},[247,3131,3132],{},"Zilliz Cloud",[247,3134,3135],{},"Milvus 全托管 SaaS",[232,3137,3138,3141],{},[247,3139,3140],{},"SeekDB \u002F OceanBase",[247,3142,3143],{},"企业级国产化",[17,3145,3146,3147,31],{},"部署时选对应 ",[337,3148,3149],{},"docker-compose.{pgvector|milvus|...}.yml",[650,3151,3153],{"id":3152},"api-与-mcp","API 与 MCP",[43,3155,3156,3162,3168,3179],{},[46,3157,3158,3161],{},[21,3159,3160],{},"对话 API","：流式 \u002F 非流式 HTTP，OpenAI 兼容",[46,3163,3164,3167],{},[21,3165,3166],{},"知识库检索 API","：单独调检索（不走生成）做 hybrid pipeline",[46,3169,3170,3173,3174,3178],{},[21,3171,3172],{},"MCP Server","：3005 端口暴露 MCP SSE 服务，可被 ",[53,3175,3177],{"href":3176},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code"," 等客户端直接接入",[46,3180,3181,3184],{},[21,3182,3183],{},"Webhook","：回调通知",[13,3186,3188],{"id":3187},"部署-10-分钟docker","部署 10 分钟（Docker）",[655,3190,3192],{"className":2109,"code":3191,"language":2111,"meta":661,"style":661},"# 克隆代码\ngit clone https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\ncd FastGPT\n\n# 切到最新稳定版（参考 GitHub releases）\ngit switch -c 4.14.7.2\n\n# 选向量库版本（个人 \u002F 小规模选 pg）\ncd deploy\u002Fdocker\u002Fcn\nwget https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n\n# 启动\ndocker-compose -f docker-compose.pg.yml up -d\n\n# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[337,3193,3194,3199,3208,3215,3219,3224,3237,3241,3246,3253,3261,3265,3270,3285,3289],{"__ignoreMap":661},[2115,3195,3196],{"class":2117,"line":2118},[2115,3197,3198],{"class":2168},"# 克隆代码\n",[2115,3200,3201,3203,3205],{"class":2117,"line":880},[2115,3202,2122],{"class":2121},[2115,3204,2126],{"class":2125},[2115,3206,3207],{"class":2125}," https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\n",[2115,3209,3210,3212],{"class":2117,"line":877},[2115,3211,2135],{"class":2134},[2115,3213,3214],{"class":2125}," FastGPT\n",[2115,3216,3217],{"class":2117,"line":1784},[2115,3218,2315],{"emptyLinePlaceholder":564},[2115,3220,3221],{"class":2117,"line":1738},[2115,3222,3223],{"class":2168},"# 切到最新稳定版（参考 GitHub releases）\n",[2115,3225,3226,3228,3231,3234],{"class":2117,"line":2312},[2115,3227,2122],{"class":2121},[2115,3229,3230],{"class":2125}," switch",[2115,3232,3233],{"class":2134}," -c",[2115,3235,3236],{"class":2134}," 4.14.7.2\n",[2115,3238,3239],{"class":2117,"line":2318},[2115,3240,2315],{"emptyLinePlaceholder":564},[2115,3242,3243],{"class":2117,"line":2324},[2115,3244,3245],{"class":2168},"# 选向量库版本（个人 \u002F 小规模选 pg）\n",[2115,3247,3248,3250],{"class":2117,"line":2330},[2115,3249,2135],{"class":2134},[2115,3251,3252],{"class":2125}," deploy\u002Fdocker\u002Fcn\n",[2115,3254,3255,3258],{"class":2117,"line":2335},[2115,3256,3257],{"class":2121},"wget",[2115,3259,3260],{"class":2125}," https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n",[2115,3262,3263],{"class":2117,"line":2341},[2115,3264,2315],{"emptyLinePlaceholder":564},[2115,3266,3267],{"class":2117,"line":2346},[2115,3268,3269],{"class":2168},"# 启动\n",[2115,3271,3272,3275,3278,3281,3283],{"class":2117,"line":926},[2115,3273,3274],{"class":2121},"docker-compose",[2115,3276,3277],{"class":2134}," -f",[2115,3279,3280],{"class":2125}," docker-compose.pg.yml",[2115,3282,2160],{"class":2125},[2115,3284,2163],{"class":2134},[2115,3286,3287],{"class":2117,"line":2357},[2115,3288,2315],{"emptyLinePlaceholder":564},[2115,3290,3292],{"class":2117,"line":3291},15,[2115,3293,3294],{"class":2168},"# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[17,3296,3297],{},"最低配置：2C4G + 20GB 硬盘 + Docker 28+ + Docker Compose 2.20+。",[17,3299,3300],{},"进入后台 → 账号 → 模型提供商 → 配置至少 1 个对话模型 + 1 个嵌入模型 → 即可开始建知识库。",[13,3302,3304],{"id":3303},"云版-vs-自托管对比","云版 vs 自托管对比",[17,3306,3307,3312],{},[53,3308,3311],{"href":3309,"rel":3310},"https:\u002F\u002Ffastgpt.io\u002Fzh\u002Fprice",[57],"fastgpt.io 官方定价"," 公开数据：",[226,3314,3315,3340],{},[229,3316,3317],{},[232,3318,3319,3321,3323,3326,3329,3332,3334,3337],{},[235,3320,2035],{},[235,3322,2038],{},[235,3324,3325],{},"AI 积分",[235,3327,3328],{},"知识库索引",[235,3330,3331],{},"团队",[235,3333,1891],{},[235,3335,3336],{},"知识库",[235,3338,3339],{},"QPM",[242,3341,3342,3366,3391,3415],{},[232,3343,3344,3346,3348,3351,3354,3357,3360,3363],{},[247,3345,2051],{},[247,3347,1763],{},[247,3349,3350],{},"100",[247,3352,3353],{},"600",[247,3355,3356],{},"1",[247,3358,3359],{},"10",[247,3361,3362],{},"3",[247,3364,3365],{},"30",[232,3367,3368,3371,3374,3377,3380,3383,3386,3388],{},[247,3369,3370],{},"基础",[247,3372,3373],{},"¥99\u002F月",[247,3375,3376],{},"4000",[247,3378,3379],{},"6000",[247,3381,3382],{},"5",[247,3384,3385],{},"50",[247,3387,3365],{},[247,3389,3390],{},"300",[232,3392,3393,3396,3399,3402,3405,3407,3410,3412],{},[247,3394,3395],{},"高级",[247,3397,3398],{},"¥599\u002F月",[247,3400,3401],{},"25000",[247,3403,3404],{},"36000",[247,3406,3385],{},[247,3408,3409],{},"200",[247,3411,3350],{},[247,3413,3414],{},"1500",[232,3416,3417,3420,3422,3425,3427,3429,3431,3433],{},[247,3418,3419],{},"定制",[247,3421,1773],{},[247,3423,3424],{},"弹性",[247,3426,3424],{},[247,3428,3424],{},[247,3430,3424],{},[247,3432,3424],{},[247,3434,3424],{},[17,3436,3437,3440,3441,3444,3445,3449],{},[21,3438,3439],{},"云版适合","：不想运维、量小、要快速上线\n",[21,3442,3443],{},"自托管适合","：量大（10 万+ 日问答）、数据敏感、要深度定制——按 ",[53,3446,3448],{"href":2912,"rel":3447},[57],"南环评测"," 估算：\"日均 10 万次问答的企业场景，商业 SaaS 年费数十万，自建 FastGPT + 开源模型只需数万硬件投入\"",[13,3451,1301],{"id":1301},[226,3453,3454,3476],{},[229,3455,3456],{},[232,3457,3458,3460,3462,3466,3470,3473],{},[235,3459,1143],{},[235,3461,829],{},[235,3463,3464],{},[53,3465,819],{"href":818},[235,3467,3468],{},[53,3469,918],{"href":864},[235,3471,3472],{},"RAGFlow",[235,3474,3475],{},"AnythingLLM",[242,3477,3478,3498,3514,3529,3546,3560,3577,3592],{},[232,3479,3480,3483,3486,3489,3492,3495],{},[247,3481,3482],{},"核心定位",[247,3484,3485],{},"知识库 QA",[247,3487,3488],{},"综合 LLMOps",[247,3490,3491],{},"Bot + 工作流",[247,3493,3494],{},"文档解析+RAG",[247,3496,3497],{},"桌面级 KB",[232,3499,3500,3502,3505,3507,3509,3511],{},[247,3501,1332],{},[247,3503,3504],{},"✅ Apache 2.0",[247,3506,3504],{},[247,3508,1173],{},[247,3510,3504],{},[247,3512,3513],{},"✅ MIT",[232,3515,3516,3518,3521,3523,3525,3527],{},[247,3517,1346],{},[247,3519,3520],{},"★★★★★ docker",[247,3522,1382],{},[247,3524,1349],{},[247,3526,1379],{},[247,3528,1382],{},[232,3530,3531,3534,3537,3539,3541,3544],{},[247,3532,3533],{},"RAG 深度",[247,3535,3536],{},"★★★★★ 最细",[247,3538,1379],{},[247,3540,1385],{},[247,3542,3543],{},"★★★★★ 文档解析最强",[247,3545,1385],{},[232,3547,3548,3550,3552,3554,3556,3558],{},[247,3549,921],{},[247,3551,1379],{},[247,3553,1382],{},[247,3555,1379],{},[247,3557,1385],{},[247,3559,2481],{},[232,3561,3562,3565,3568,3570,3573,3575],{},[247,3563,3564],{},"上手",[247,3566,3567],{},"★★★☆☆ 需 docker",[247,3569,1379],{},[247,3571,3572],{},"★★★★★ 最简单",[247,3574,1385],{},[247,3576,1379],{},[232,3578,3579,3582,3584,3586,3588,3590],{},[247,3580,3581],{},"中文优化",[247,3583,1382],{},[247,3585,1379],{},[247,3587,1382],{},[247,3589,1379],{},[247,3591,1385],{},[232,3593,3594,3597,3600,3602,3604,3606],{},[247,3595,3596],{},"多平台发布",[247,3598,3599],{},"⚠️ API 为主",[247,3601,1379],{},[247,3603,1382],{},[247,3605,1356],{},[247,3607,1356],{},[17,3609,3610,1447,3612,224],{},[21,3611,1446],{},[53,3613,3615],{"href":2912,"rel":3614},[57],"南环 AI 评测",[43,3617,3618,3624,3631,3638,3644],{},[46,3619,3620,3623],{},[21,3621,3622],{},"核心需求是 RAG 精度"," → FastGPT",[46,3625,3626,1471,3629],{},[21,3627,3628],{},"需要丰富插件 + 复杂工作流 + 多平台发布",[53,3630,819],{"href":818},[46,3632,3633,1471,3636],{},[21,3634,3635],{},"零代码、快速发布到飞书 \u002F 微信",[53,3637,918],{"href":864},[46,3639,3640,3643],{},[21,3641,3642],{},"文档解析（含 OCR \u002F 表格 \u002F 公式）是瓶颈"," → RAGFlow",[46,3645,3646,3649],{},[21,3647,3648],{},"桌面 \u002F 单机使用"," → AnythingLLM",[17,3651,3652,3655],{},[21,3653,3654],{},"很多企业同时用","：FastGPT 做知识库底座 + Coze 做前端 Bot 发布 \u002F 工作流编排。",[13,3657,1491],{"id":1491},[43,3659,3660,3673,3682,3688,3698,3710,3716,3722],{},[46,3661,3662,126,3665,3668,3669,3672],{},[21,3663,3664],{},"docker-compose 镜像 tag 不一致",[53,3666,3096],{"href":2886,"rel":3667},[57]," 实测的坑——某些版本编排文件的 image tag 与最新 release 不一致，启动报\"镜像找不到\"，手动改 ",[337,3670,3671],{},"image:"," 行为正确版本即可",[46,3674,3675,3678,3679,3681],{},[21,3676,3677],{},"3000 端口冲突","：默认占用 3000（主服务）\u002F 9000（S3 \u002F MinIO）\u002F 3005（MCP）；改 ",[337,3680,3274],{}," 的 ports 映射端口",[46,3683,3684,3687],{},[21,3685,3686],{},"PostgreSQL pgvector 不够用就换 Milvus","：单库索引超 5000 万时 pgvector 查询性能下降，切 Milvus",[46,3689,3690,3693,3694,3697],{},[21,3691,3692],{},"向量库选错代价大","：先评估索引量再选向量后端，迁移要重新 embedding 整库，按 ",[53,3695,3448],{"href":2912,"rel":3696},[57],"：\"新手 \u002F 小规模 PgVector，中大规模 Milvus，企业 \u002F 国产 OceanBase\"",[46,3699,3700,126,3703,3706,3707],{},[21,3701,3702],{},"MinIO 默认密码",[337,3704,3705],{},"minioadmin\u002Fminioadmin","，",[21,3708,3709],{},"部署到公网前必须改",[46,3711,3712,3715],{},[21,3713,3714],{},"分段策略影响巨大","：默认分段对长法律 \u002F 医疗文档不友好，需调\"按章节\"或\"自定义\"",[46,3717,3718,3721],{},[21,3719,3720],{},"嵌入模型 ≠ 对话模型","：经常有人只配 GPT-4 没配 embedding 模型，知识库无法索引——必须同时配两类",[46,3723,3724,3727,3728,1523],{},[21,3725,3726],{},"云版 AI 积分会过期","：未用完不能跨月累积（按 ",[53,3729,3731],{"href":3309,"rel":3730},[57],"fastgpt.io 定价 FAQ",[13,3733,1564],{"id":1563},[17,3735,1567],{},[43,3737,3738,3741,3744,3747,3750,3753],{},[46,3739,3740],{},"企业内部知识库（员工手册 \u002F 制度 \u002F 流程）",[46,3742,3743],{},"产品 FAQ \u002F 用户手册问答",[46,3745,3746],{},"医疗 \u002F 法律 \u002F 金融垂直领域知识系统",[46,3748,3749],{},"数据严格不出网 + Apache 2.0 商用",[46,3751,3752],{},"有 docker 运维基础的技术团队",[46,3754,3755],{},"需要把 RAG 当后端服务的开发者（API 接入业务系统）",[17,3757,1587],{},[43,3759,3760,3765,3770,3773],{},[46,3761,3762,3763,1523],{},"完全非技术用户（去 ",[53,3764,918],{"href":864},[46,3766,3767,3768,1523],{},"主要需求是工作流 + 插件集成（去 ",[53,3769,819],{"href":818},[46,3771,3772],{},"文档解析 \u002F OCR 是首要痛点（RAGFlow）",[46,3774,3775],{},"不想自己运维 + 量很小（FastGPT 云免费版起步即可）",[13,3777,845],{"id":845},[43,3779,3780,3789,3805,3819],{},[46,3781,1624,3782,839,3784,3786,3787],{},[53,3783,819],{"href":818},[53,3785,918],{"href":864}," \u002F RAGFlow \u002F AnythingLLM \u002F ",[53,3788,1636],{"href":1635},[46,3790,1639,3791,839,3793,839,3797,839,3800,839,3803],{},[53,3792,1646],{"href":1645},[53,3794,3796],{"href":3795},"\u002Fwiki\u002Fembedding.html","Embedding",[53,3798,3799],{"href":3795},"Vector Database",[53,3801,3802],{"href":1645},"Reranker",[53,3804,919],{"href":1642},[46,3806,1656,3807,839,3809,839,3811,839,3813,839,3817],{},[53,3808,1664],{"href":1663},[53,3810,1668],{"href":1667},[53,3812,1672],{"href":1671},[53,3814,3816],{"href":3815},"\u002Fmodels\u002Fkimi-k2.html","Kimi 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