[{"data":1,"prerenderedAt":3863},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"review-coze-deep-review":9,"review-related-coze-deep-review":890},{"tools":4,"reviews":5},77,25,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,13,{"id":10,"title":11,"body":12,"cover":870,"description":871,"extension":872,"meta":873,"navigation":874,"path":875,"published":876,"relatedTools":877,"seo":881,"stem":882,"tags":883,"updated":876,"verdict":888,"__hash__":889},"review\u002Freview\u002Fcoze-deep-review.md","Coze 深度评测：字节 AI Bot 平台真能零代码搭出能用 Agent 吗",{"type":13,"value":14,"toc":853},"minimark",[15,19,32,50,64,68,75,88,98,104,108,111,127,136,220,232,241,244,255,259,262,294,308,314,317,321,324,344,350,355,426,436,440,443,493,502,508,520,526,529,535,541,547,553,559,563,575,584,598,607,618,621,754,760,766,770,776,782,788,794,804,808,815,821,824],[16,17,18],"h2",{"id":18},"一句话结论",[20,21,22,23,27,28,31],"p",{},"如果你是",[24,25,26],"strong",{},"产品、运营、内容创作者或中小企业主","，想在 1–2 天内做出一个能用的 AI Bot——而且希望它能直接发到飞书、抖音、微信、网页上——",[24,29,30],{},"Coze（扣子）在 2026 年是国内零代码平台里体感最快的选择","。可视化工作流 + 插件市场 + 多端一键发布这三件事组合起来，让\"做个 Agent\"从需要一周开发变成下午茶时间就能搞定。",[20,33,34,35,38,39,44,45,49],{},"但它",[24,36,37],{},"不是所有场景的答案","：不支持私有部署、深度绑定字节生态、专业版按调用计费容易超预算、国内版模型只能选豆包系。金融 \u002F 医疗 \u002F 政府等数据敏感场景，或需要完全自主可控的团队，应该选 ",[40,41,43],"a",{"href":42},"\u002Fagent\u002Fplatform\u002Fdify.html","Dify"," 或 ",[40,46,48],{"href":47},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT","。",[51,52,57],"div",{"className":53},[54,55,56],"card","p-5","my-4",[20,58,59,60,63],{},"上手建议：先用",[24,61,62],{},"国内版免费档","跑通 1 个真实 Bot，评估模型效果和调用频次。跑通了再决定要不要上专业版。免费档就够看清 Coze 是不是你要的答案——别一上来就为按量计费充值。",[16,65,67],{"id":66},"coze-真正在解决的问题","Coze 真正在解决的问题",[20,69,70,71,74],{},"社区讨论 Coze 经常聚焦在\"字节战略投入、免费白嫖、能薅豆包模型\"。但深一层看，Coze 是在解决",[24,72,73],{},"国内 AI Bot 落地的三个真实卡点","：",[20,76,77,80,81,87],{},[24,78,79],{},"第一个卡点：零代码门槛。"," Dify、Langflow 这类平台虽然也叫低代码，但要配模型 API key、要懂 docker、要看懂节点参数。对一个完全没技术背景的运营或内容创作者，这门槛还是高。Coze 的逻辑是**\"你不用管模型从哪来、不用配 API、不用部署，只管拖节点和写 prompt\"**——国内版直接内置豆包 \u002F DeepSeek \u002F Qwen，开箱即用。根据 ",[40,82,86],{"href":83,"rel":84},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[85],"nofollow","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\"。",[20,89,90,93,94,97],{},[24,91,92],{},"第二个卡点：多端分发。"," 搭一个 Bot 容易，但把它发到飞书、抖音、微信小程序、网页上，传统方案每个渠道都要对接一遍 webhook、申请权限、改前端。Coze 把发布做成",[24,95,96],{},"一键选渠道","——飞书机器人绑一下、抖音号授权一下、API 直接给你 OpenAPI 风格的调用地址。这是它对 C 端 \u002F 轻量 toB 场景的核心吸引力。",[20,99,100,103],{},[24,101,102],{},"第三个卡点：插件即能力。"," 单纯一个 LLM 对话 Bot 能做的事有限。Coze 的插件市场把\"调飞书多维表格、联网搜索、画图、跑代码、调第三方 SaaS\"封装成可拖拽的工具节点，让一个 Bot 真正\"长出手脚\"。这是它和\"只会聊天\"的套壳产品的本质区别。",[16,105,107],{"id":106},"工作流编排能力能做什么边界在哪","工作流编排能力：能做什么、边界在哪",[20,109,110],{},"Coze 把 Agent 拆成两层：",[112,113,114,121],"ul",{},[115,116,117,120],"li",{},[24,118,119],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件即可",[115,122,123,126],{},[24,124,125],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署成 API",[20,128,129,130,135],{},"工作流节点类型（基于 ",[40,131,134],{"href":132,"rel":133},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[85],"火山引擎社区 2025 实战教程","）：",[137,138,139,152],"table",{},[140,141,142],"thead",{},[143,144,145,149],"tr",{},[146,147,148],"th",{},"节点",[146,150,151],{},"作用",[153,154,155,164,172,180,188,196,204,212],"tbody",{},[143,156,157,161],{},[158,159,160],"td",{},"开始 \u002F 结束",[158,162,163],{},"定义输入输出",[143,165,166,169],{},[158,167,168],{},"大模型节点",[158,170,171],{},"调豆包 \u002F GPT \u002F Claude 任一模型",[143,173,174,177],{},[158,175,176],{},"代码节点",[158,178,179],{},"内嵌 Python \u002F JavaScript，做数据格式转换",[143,181,182,185],{},[158,183,184],{},"循环节点",[158,186,187],{},"批量处理多条数据",[143,189,190,193],{},[158,191,192],{},"条件节点",[158,194,195],{},"分支判断",[143,197,198,201],{},[158,199,200],{},"插件节点",[158,202,203],{},"调 Coze 插件市场的工具",[143,205,206,209],{},[158,207,208],{},"知识库节点",[158,210,211],{},"RAG 检索",[143,213,214,217],{},[158,215,216],{},"HTTP 节点",[158,218,219],{},"调外部 API",[20,221,222,225,226,231],{},[24,223,224],{},"典型用例","（参考 ",[40,227,230],{"href":228,"rel":229},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[85],"今日头条 涛哥讲AI 2025-02 教程","）：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。这类\"批量内容生成\"场景是 Coze 工作流的高频打法。",[20,233,234,237,238,240],{},[24,235,236],{},"但工作流编排有明确边界","。诚实地说，Coze 的条件分支和循环不如 ",[40,239,43],{"href":42}," 灵活——Dify 有完整的 if\u002Felse、迭代器、变量赋值、单步调试 + 变量追踪 + 历史回放。Coze 的调试主要看日志，单步调试体验一般。",[20,242,243],{},"判断标准：流程里出现\"循环处理一个列表\"\"根据中间结果走不同分支\"这类复杂逻辑，Dify 明显更顺；如果是\"输入 → 处理 → 输出\"的线性流，两者都够用，Coze 更快。",[51,245,247],{"className":246},[54,55,56],[20,248,249,250,254],{},"工作流读取飞书表格默认只取 20 条，要改 ",[251,252,253],"code",{},"page_size","，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，不要直接同步走，否则容易超时。",[16,256,258],{"id":257},"插件生态coze-的护城河","插件生态：Coze 的护城河",[20,260,261],{},"插件市场是 Coze 区别于其他平台最明显的优势。插件本质是封装好的 API 工具，主要几类：",[112,263,264,270,276,282,288],{},[115,265,266,269],{},[24,267,268],{},"飞书多维表格","：增删改查记录，国内 toB 场景的杀手锏——大量企业内部数据就在飞书表格里",[115,271,272,275],{},[24,273,274],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[115,277,278,281],{},[24,279,280],{},"联网搜索","：实时网页检索，让 Bot 不止靠训练数据",[115,283,284,287],{},[24,285,286],{},"代码执行","：在线运行 Python，处理数据计算",[115,289,290,293],{},[24,291,292],{},"第三方 SaaS","：微博、抖音、bilibili、Notion 等",[20,295,296,301,302,304,305,307],{},[40,297,300],{"href":298,"rel":299},"https:\u002F\u002Fkouziai.github.io\u002F",[85],"扣子空间介绍"," 提到插件数量突破 500 个——量级在百级别是确定的。对比之下 ",[40,303,43],{"href":42}," 的工具生态更偏\"自己接 API\"，",[40,306,48],{"href":47}," 专注知识库 QA、插件不是强项。",[20,309,310,313],{},[24,311,312],{},"插件生态的隐性价值","：它让 Coze 不只是\"对话 Bot\"，而是\"能操作外部系统的 Bot\"。一个客服 Bot 能查飞书订单表、一个内容 Bot 能抓微博热点再生成文案——这是真正\"能用\"的 Agent 和\"只会聊天\"的套壳之间的分水岭。",[20,315,316],{},"但要注意：插件市场里第三方插件质量参差，生产环境用之前要测稳定性；部分插件调用会单独计费，是成本盲区。",[16,318,320],{"id":319},"多端发布coze-最被低估的能力","多端发布：Coze 最被低估的能力",[20,322,323],{},"发布渠道覆盖：",[112,325,326,329,332,335,338,341],{},[115,327,328],{},"飞书机器人（一键绑）",[115,330,331],{},"抖音 \u002F 头条号",[115,333,334],{},"微信小程序 \u002F 公众号（部分需企业认证）",[115,336,337],{},"自定义网页嵌入",[115,339,340],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[115,342,343],{},"Discord（国际版）",[20,345,346,349],{},[24,347,348],{},"为什么这件事重要","：搭 Bot 的人最怕的不是\"做不出来\"，而是\"做出来没人用\"。传统方案里，一个 Bot 要触达用户，飞书端、微信端、网页端各对接一遍，开发量比 Bot 本身还大。Coze 把发布做成\"勾选渠道 → 授权 → 拿调用地址\"，把分发成本压到接近零。",[20,351,352,74],{},[24,353,354],{},"国内版 vs 国际版的发布差异",[137,356,357,370],{},[140,358,359],{},[143,360,361,364,367],{},[146,362,363],{},"维度",[146,365,366],{},"扣子（coze.cn）",[146,368,369],{},"Coze（coze.com）",[153,371,372,383,393,404,415],{},[143,373,374,377,380],{},[158,375,376],{},"飞书 \u002F 抖音 \u002F 微信集成",[158,378,379],{},"原生",[158,381,382],{},"不支持",[143,384,385,388,391],{},[158,386,387],{},"Discord \u002F Slack 集成",[158,389,390],{},"有限",[158,392,379],{},[143,394,395,398,401],{},[158,396,397],{},"数据存储位置",[158,399,400],{},"国内",[158,402,403],{},"海外",[143,405,406,409,412],{},[158,407,408],{},"支付",[158,410,411],{},"微信 \u002F 支付宝",[158,413,414],{},"海外信用卡",[143,416,417,420,423],{},[158,418,419],{},"内容合规",[158,421,422],{},"严格审核",[158,424,425],{},"宽松",[20,427,428,431,432,435],{},[24,429,430],{},"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",[24,433,434],{},"不互通","——这是最大的坑之一，别在国内做完想着搬海外，得重做。",[16,437,439],{"id":438},"价格分析免费不等于便宜","价格分析：免费不等于便宜",[20,441,442],{},"国内版（扣子）：",[137,444,445,458],{},[140,446,447],{},[143,448,449,452,455],{},[146,450,451],{},"档位",[146,453,454],{},"价格",[146,456,457],{},"关键点",[153,459,460,471,482],{},[143,461,462,465,468],{},[158,463,464],{},"免费版",[158,466,467],{},"¥0",[158,469,470],{},"免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[143,472,473,476,479],{},[158,474,475],{},"专业版",[158,477,478],{},"按调用计费",[158,480,481],{},"高级模型 + 高并发 + 商用授权，上量后切",[143,483,484,487,490],{},[158,485,486],{},"企业版",[158,488,489],{},"议价",[158,491,492],{},"VPC、合规、SLA、私有化（限定场景）",[20,494,495,496,501],{},"国际版（coze.com）的定价模式据 ",[40,497,500],{"href":498,"rel":499},"https:\u002F\u002Fdocs.coze.com\u002F",[85],"官方文档"," 描述是\"按你访问和使用的功能分别计费\"，类似按 token \u002F 工具调用的 metered billing，没有简单的\"$X\u002F月\"档位。",[20,503,504,507],{},[24,505,506],{},"价格经济学里最关键的一点","：Coze 免费档看起来白嫖，但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。一个真实风险：你的 Bot 突然被分享传播，调用量暴涨，账单也暴涨，而按调用计费模式下没有\"封顶\"。",[20,509,510,513,514,519],{},[24,511,512],{},"隐性成本","：Coze 免费但绑定豆包模型，长期看你被锁在字节生态里；迁移到其他平台时 Prompt 和工作流要重新适配。\"",[40,515,518],{"href":516,"rel":517},"https:\u002F\u002Fwww.coze.cn",[85],"免费","\"和\"便宜\"不是一回事——Dify 自部署要算服务器和运维人力，但模型可以自由切换，长期 TCO 可能更低。",[20,521,522,525],{},[24,523,524],{},"建议","：不要按\"免费\"决定用不用 Coze。用免费档跑 1–2 个真实 Bot，看调用频次和模型效果，再算专业版的月成本。如果你的 Bot 日调用量在百级别，专业版月成本通常可控；到千级别就要认真算账了。",[16,527,528],{"id":528},"适用场景",[20,530,531,534],{},[24,532,533],{},"个人 \u002F 副业内容创作","：批量生成小红书文案、自动回复评论、抓热点生成选题。Coze 工作流 + 联网搜索插件是内容创作者的低成本自动化工具。",[20,536,537,540],{},[24,538,539],{},"中小企业客服 Bot","：上传产品文档做知识库 + 接飞书订单表查物流，3 天上线一个能用的客服。月成本 \u003C 1000 元的案例是真实可行的。",[20,542,543,546],{},[24,544,545],{},"飞书生态内的 toB 自动化","：企业内部数据在飞书多维表格，用 Coze 工作流做\"读表格 → 大模型处理 → 写回表格\"的批处理，零代码完成原本要写脚本的事。",[20,548,549,552],{},[24,550,551],{},"产品 \u002F 运营快速验证 idea","：想验证\"一个 AI 客服有没有人用\"，不用等研发排期，自己 1 小时搭个 Bot 发到网页测。",[20,554,555,558],{},[24,556,557],{},"想用国产模型的非技术用户","：豆包 \u002F DeepSeek \u002F Qwen 国内版开箱即用，不用自己接 API、不用配 key。",[16,560,562],{"id":561},"不推荐场景5-类人别选-coze","不推荐场景：5 类人别选 Coze",[20,564,565,568,569,571,572,574],{},[24,566,567],{},"数据敏感行业（金融 \u002F 医疗 \u002F 政府）","：Coze 不支持真正的私有部署，企业版\"私有化\"是有限的，完全数据不出网仍需 ",[40,570,43],{"href":42}," \u002F ",[40,573,48],{"href":47}," 自托管。监管要求的数据本地化场景，Coze 直接出局。",[20,576,577,580,581,583],{},[24,578,579],{},"复杂业务系统深度集成","：Coze 的自由度对\"做一个 Bot\"够用，但要做\"AI 中台\"、要对接多个内部系统、要复杂权限和审计，自由度不够。这类需求 ",[40,582,43],{"href":42}," 的工程化程度更高。",[20,585,586,589,590,592,593,597],{},[24,587,588],{},"需要深度定制的开发团队","：想改检索算法、想自定义 agent 调度逻辑、想接 LangGraph 这类框架，Coze 是黑盒。去 ",[40,591,43],{"href":42},"（开源可改）或直接用 ",[40,594,596],{"href":595},"\u002Fagent\u002Fplatform\u002Flangflow.html","Langflow"," \u002F LangGraph。",[20,599,600,603,604,606],{},[24,601,602],{},"反感字节生态或需要模型自由","：国内版只能选豆包系模型，想用 Claude 做主力模型、想随时切 OpenAI \u002F 国产模型混合编排，Coze 国内版做不到（国际版可接 GPT\u002FClaude 但要 BYOK 海外卡）。模型自由度上 ",[40,605,43],{"href":42}," 完胜。",[20,608,609,612,613,571,615,617],{},[24,610,611],{},"海外 toB SaaS 产品后端","：海外用户、海外合规、需要 SSO \u002F 审计日志的生产级 SaaS，Coze 国际版的能力深度不够。",[40,614,43],{"href":42},[40,616,596],{"href":595}," 更合适。",[16,619,620],{"id":620},"与同类怎么选",[137,622,623,640],{},[140,624,625],{},[143,626,627,629,632,636],{},[146,628,363],{},[146,630,631],{},"Coze",[146,633,634],{},[40,635,43],{"href":42},[146,637,638],{},[40,639,48],{"href":47},[153,641,642,655,668,681,695,706,718,729,742],{},[143,643,644,647,650,653],{},[158,645,646],{},"开源",[158,648,649],{},"否",[158,651,652],{},"是（Apache 2.0）",[158,654,652],{},[143,656,657,660,663,666],{},[158,658,659],{},"私有部署",[158,661,662],{},"仅企业版有限",[158,664,665],{},"完整支持",[158,667,665],{},[143,669,670,673,676,679],{},[158,671,672],{},"上手难度",[158,674,675],{},"最简单",[158,677,678],{},"中等",[158,680,678],{},[143,682,683,686,689,692],{},[158,684,685],{},"工作流编排",[158,687,688],{},"★★★★☆",[158,690,691],{},"★★★★★",[158,693,694],{},"★★★☆☆",[143,696,697,700,702,704],{},[158,698,699],{},"RAG 精度",[158,701,694],{},[158,703,688],{},[158,705,691],{},[143,707,708,711,714,716],{},[158,709,710],{},"插件市场",[158,712,713],{},"★★★★★ 200+",[158,715,694],{},[158,717,694],{},[143,719,720,723,725,727],{},[158,721,722],{},"多端发布",[158,724,691],{},[158,726,688],{},[158,728,694],{},[143,730,731,734,737,740],{},[158,732,733],{},"模型自由度",[158,735,736],{},"★★★☆☆ 绑豆包",[158,738,739],{},"★★★★★ 任意",[158,741,688],{},[143,743,744,747,749,752],{},[158,745,746],{},"字节生态",[158,748,691],{},[158,750,751],{},"无",[158,753,751],{},[20,755,756,759],{},[24,757,758],{},"选 Coze 如果","：要最快做出能用的 Bot、要发到飞书 \u002F 抖音 \u002F 微信、是非技术人员、预算敏感想白嫖免费档。",[20,761,762,765],{},[24,763,764],{},"别选 Coze 如果","：数据必须不出网、要深度定制、要模型自由、是海外 toB SaaS 后端。",[16,767,769],{"id":768},"faq","FAQ",[20,771,772,775],{},[24,773,774],{},"Q：Coze 国内版和国际版能共用账号吗？","\n不能。扣子（coze.cn）和 Coze（coze.com）是两套独立系统，账号、Bot、工作流都不互通。国内调通后想搬海外，要重新搭。选哪个看你主要面向哪边用户、要不要接 GPT\u002FClaude。",[20,777,778,781],{},[24,779,780],{},"Q：Coze 免费档能撑住生产环境吗？","\n免费档有日模型额度，适合个人试水 \u002F Demo \u002F 低频内部用。真正上量（日调用百级以上）要切专业版按调用计费。把免费档当生产环境用，限流和额度耗尽会直接影响用户体验。",[20,783,784,787],{},[24,785,786],{},"Q：Coze 能私有部署吗？","\n个人 \u002F 中小团队不能。企业版提供有限私有化（VPC、合规），但完全数据不出网仍建议 Dify \u002F FastGPT 自托管。金融 \u002F 医疗 \u002F 政府等强合规行业直接排除 Coze。",[20,789,790,793],{},[24,791,792],{},"Q：Coze 能接 Claude \u002F GPT 吗？","\n国际版（coze.com）可接 OpenAI \u002F Claude \u002F Gemini，但需要 BYOK（自己绑海外信用卡，平台不代付）。国内版只能选豆包 \u002F DeepSeek \u002F Qwen \u002F Kimi 等国产模型。",[20,795,796,799,800,49],{},[24,797,798],{},"Q：Coze 和 Dify 怎么选？","\n零代码、快速出 Bot、发飞书抖音 → Coze。要私有部署、要模型自由、要复杂工作流、有技术团队 → Dify。深度对比见 ",[40,801,803],{"href":802},"\u002Fcompare\u002Fcoze-vs-dify.html","Coze vs Dify 专题",[16,805,807],{"id":806},"aiho-推荐结论","AIHO 推荐结论",[20,809,810,811,814],{},"Coze 是 2026 年国内",[24,812,813],{},"零代码搭 Bot 体感最快","的平台，尤其是给做内容、运营、客服自动化的非技术人员。可视化工作流 + 插件市场 + 多端一键发布——这几件事组合起来，让\"做个能用的 Agent\"从研发排期变成了下午茶时间。",[20,816,34,817,820],{},[24,818,819],{},"不是企业 AI 中台的答案","。不支持私有部署、绑定字节生态、按调用计费容易超预算、模型自由度有限——这些限制在数据敏感或深度定制的场景是硬伤。先想清楚你是\"要快出一个 Bot\"还是\"要一个长期可控的 AI 平台\"，再决定要不要用 Coze。",[16,822,823],{"id":823},"相关阅读",[112,825,826,832,837,843,848],{},[115,827,828],{},[40,829,831],{"href":830},"\u002Fagent\u002Fplatform\u002Fcoze.html","Coze 工具卡：字节 AI Bot 平台",[115,833,834],{},[40,835,836],{"href":802},"Coze vs Dify：AI Agent 平台怎么选",[115,838,839],{},[40,840,842],{"href":841},"\u002Fplaybook\u002Fonboarding\u002Fcoze-getting-started.html","Coze 上手指南：从零搭建第一个 AI Bot",[115,844,845],{},[40,846,847],{"href":42},"Dify 工具卡：开源 LLMOps 平台",[115,849,850],{},[40,851,852],{"href":47},"FastGPT 工具卡：开源知识库问答系统",{"title":854,"searchDepth":855,"depth":855,"links":856},"",3,[857,859,860,861,862,863,864,865,866,867,868,869],{"id":18,"depth":858,"text":18},2,{"id":66,"depth":858,"text":67},{"id":106,"depth":858,"text":107},{"id":257,"depth":858,"text":258},{"id":319,"depth":858,"text":320},{"id":438,"depth":858,"text":439},{"id":528,"depth":858,"text":528},{"id":561,"depth":858,"text":562},{"id":620,"depth":858,"text":620},{"id":768,"depth":858,"text":769},{"id":806,"depth":858,"text":807},{"id":823,"depth":858,"text":823},"\u002Fog\u002Freview\u002Fcoze.png","Coze 扣子深度评测：字节跳动出品的低代码 AI Agent 平台，国内版接豆包\u002F飞书生态、国际版接 GPT\u002FClaude。本文写它真正解决的零代码门槛问题、工作流编排能力边界、200+ 插件生态、多端发布、按调用计费的真实成本，以及 5 类不推荐用 Coze 的场景。AIHO 编辑部基于官方文档与多份第三方评测整理。","md",{},true,"\u002Freview\u002Fcoze-deep-review","2026-07-04",[878,879,880],"agent\u002Fplatform\u002Fcoze","agent\u002Fplatform\u002Fdify","agent\u002Fplatform\u002Ffastgpt",{"title":11,"description":871},"review\u002Fcoze-deep-review",[631,884,885,886,887],"AI Agent","字节跳动","Bot 平台","深度评测","国内零代码搭 Bot 上手最快、生态最热的平台。工作流可视化 + 插件市场 + 多端一键发布让非技术人员 1 小时出活。代价是绑定字节生态、不支持私有部署、按调用计费容易超预算。要数据合规或深度定制去 Dify\u002FFastGPT。","xS1G6DB_jBmUJ7eBrChI96V3edWwYCAfpDDiAo7t9ng",[891,1734,2783],{"id":892,"title":631,"alternatives":893,"api_compatible":895,"body":896,"category":1657,"chinese_friendly":1658,"cover":1659,"description":1660,"domestic":1661,"extension":872,"faq":1662,"free":1661,"github":1662,"languages":1663,"meta":1666,"models":1667,"navigation":874,"notSuitable":1673,"opensource":1661,"path":1677,"pillar":1678,"platforms":1679,"priceTable":1681,"pricing":1699,"published":1700,"relatedPlaybooks":1662,"relatedReviews":1662,"score":1701,"self_host":1661,"seo":1703,"seoTitle":1704,"slug":878,"sources":1705,"stem":1716,"suitable":1717,"tagline":1723,"tags":1724,"updated":1731,"verdict":1732,"website":516,"__hash__":1733},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md",[879,880,894],"agent\u002Fplatform\u002Fyuanqi",[],{"type":13,"value":897,"toc":1641},[898,902,935,941,944,949,951,963,969,1012,1019,1023,1026,1052,1058,1062,1065,1079,1083,1151,1158,1161,1163,1180,1186,1190,1227,1230,1232,1362,1378,1409,1412,1483,1487,1490,1507,1510,1538,1540,1604,1607,1634],[16,899,901],{"id":900},"tldr","TL;DR",[51,903,905,925],{"className":904},[54,55,56],[20,906,907,910,911,924],{},[24,908,909],{},"一句话："," 字节跳动出品的低代码 Agent 平台，",[24,912,913,914,918,919],{},"国内版 ",[40,915,917],{"href":516,"rel":916},[85],"coze.cn","（中文叫\"扣子\"）+ 国际版 ",[40,920,923],{"href":921,"rel":922},"https:\u002F\u002Fwww.coze.com",[85],"coze.com"," 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。",[20,926,927,928,931,932,87],{},"最大价值是 ",[24,929,930],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[40,933,86],{"href":83,"rel":934},[85],[936,937,938],"blockquote",{},[20,939,940],{},"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。",[16,942,943],{"id":943},"核心特性",[945,946,948],"h3",{"id":947},"可视化工作流最大卖点","可视化工作流（最大卖点）",[20,950,110],{},[112,952,953,958],{},[115,954,955,957],{},[24,956,119],{},"：对话式 AI，配置 prompt + 知识库 + 插件",[115,959,960,962],{},[24,961,125],{},"：DAG 节点编排，可被 Bot 调用，也可独立部署",[20,964,129,965,135],{},[40,966,968],{"href":132,"rel":967},[85],"火山引擎社区 2025 实战",[112,970,971,977,982,987,992,997,1002,1007],{},[115,972,973,976],{},[24,974,975],{},"开始 \u002F 结束节点","：输入输出",[115,978,979,981],{},[24,980,168],{},"：调豆包 \u002F GPT \u002F Claude 任一模型",[115,983,984,986],{},[24,985,176],{},"：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[115,988,989,991],{},[24,990,184],{},"：批量处理多条数据",[115,993,994,996],{},[24,995,192],{},"：分支判断",[115,998,999,1001],{},[24,1000,200],{},"：调 Coze 插件市场的工具",[115,1003,1004,1006],{},[24,1005,208],{},"：RAG 检索",[115,1008,1009,1011],{},[24,1010,216],{},"：调外部 API",[20,1013,1014,1015,1018],{},"典型用例（参考 ",[40,1016,230],{"href":228,"rel":1017},[85],"）：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。",[945,1020,1022],{"id":1021},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[20,1024,1025],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[112,1027,1028,1033,1037,1042,1047],{},[115,1029,1030,1032],{},[24,1031,268],{},"：增删改查记录（国内 toB 场景的杀手锏）",[115,1034,1035,275],{},[24,1036,274],{},[115,1038,1039,1041],{},[24,1040,280],{},"：实时网页检索",[115,1043,1044,1046],{},[24,1045,286],{},"：在线运行 Python",[115,1048,1049,1051],{},[24,1050,292],{},"：微博、抖音、bilibili、Notion……",[20,1053,1054,1057],{},[40,1055,300],{"href":298,"rel":1056},[85]," 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。",[945,1059,1061],{"id":1060},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[20,1063,1064],{},"发布渠道：",[112,1066,1067,1069,1071,1073,1075,1077],{},[115,1068,328],{},[115,1070,331],{},[115,1072,334],{},[115,1074,337],{},[115,1076,340],{},[115,1078,343],{},[945,1080,1082],{"id":1081},"国内版-vs-国际版","国内版 vs 国际版",[137,1084,1085,1095],{},[140,1086,1087],{},[143,1088,1089,1091,1093],{},[146,1090,363],{},[146,1092,366],{},[146,1094,369],{},[153,1096,1097,1108,1118,1127,1135,1143],{},[143,1098,1099,1102,1105],{},[158,1100,1101],{},"主力模型",[158,1103,1104],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[158,1106,1107],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[143,1109,1110,1112,1115],{},[158,1111,376],{},[158,1113,1114],{},"✅ 原生",[158,1116,1117],{},"❌",[143,1119,1120,1122,1125],{},[158,1121,387],{},[158,1123,1124],{},"⚠️ 有限",[158,1126,1114],{},[143,1128,1129,1131,1133],{},[158,1130,397],{},[158,1132,400],{},[158,1134,403],{},[143,1136,1137,1139,1141],{},[158,1138,408],{},[158,1140,411],{},[158,1142,414],{},[143,1144,1145,1147,1149],{},[158,1146,419],{},[158,1148,422],{},[158,1150,425],{},[20,1152,1153,1155,1156,49],{},[24,1154,430],{},"：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 ",[24,1157,434],{},[16,1159,1160],{"id":1160},"价格与运行成本",[20,1162,442],{},[112,1164,1165,1170,1175],{},[115,1166,1167,1169],{},[24,1168,464],{},"：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[115,1171,1172,1174],{},[24,1173,475],{},"：按调用计费，模型 + 高并发，单 token 价比直连 API 略贵但省事",[115,1176,1177,1179],{},[24,1178,486],{},"：议价，含 VPC、私有化（限定场景）、SLA",[20,1181,495,1182,1185],{},[40,1183,500],{"href":498,"rel":1184},[85]," 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。",[16,1187,1189],{"id":1188},"上手-10-分钟","上手 10 分钟",[1191,1192,1193,1206,1209,1212,1215,1218,1221,1224],"ol",{},[115,1194,1195,1196,1200,1201,1205],{},"打开 ",[40,1197,1199],{"href":516,"rel":1198},[85],"www.coze.cn","（国内）或 ",[40,1202,1204],{"href":921,"rel":1203},[85],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[115,1207,1208],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[115,1210,1211],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[115,1213,1214],{},"写 Bot 角色 prompt",[115,1216,1217],{},"可选：上传 PDF \u002F 文档建知识库",[115,1219,1220],{},"测试一下对话效果",[115,1222,1223],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[115,1225,1226],{},"拿到调用 URL \u002F 飞书机器人 webhook",[20,1228,1229],{},"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。",[16,1231,620],{"id":620},[137,1233,1234,1256],{},[140,1235,1236],{},[143,1237,1238,1240,1242,1246,1250],{},[146,1239,363],{},[146,1241,631],{},[146,1243,1244],{},[40,1245,43],{"href":42},[146,1247,1248],{},[40,1249,48],{"href":47},[146,1251,1252],{},[40,1253,1255],{"href":1254},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[153,1257,1258,1271,1285,1300,1312,1324,1337,1349],{},[143,1259,1260,1262,1264,1267,1269],{},[158,1261,646],{},[158,1263,1117],{},[158,1265,1266],{},"✅",[158,1268,1266],{},[158,1270,1117],{},[143,1272,1273,1275,1278,1280,1282],{},[158,1274,659],{},[158,1276,1277],{},"⚠️ 仅企业版",[158,1279,1266],{},[158,1281,1266],{},[158,1283,1284],{},"⚠️",[143,1286,1287,1289,1292,1295,1297],{},[158,1288,672],{},[158,1290,1291],{},"★ 最简单",[158,1293,1294],{},"★★★",[158,1296,1294],{},[158,1298,1299],{},"★★",[143,1301,1302,1304,1306,1308,1310],{},[158,1303,685],{},[158,1305,688],{},[158,1307,691],{},[158,1309,694],{},[158,1311,694],{},[143,1313,1314,1316,1318,1320,1322],{},[158,1315,699],{},[158,1317,694],{},[158,1319,688],{},[158,1321,691],{},[158,1323,694],{},[143,1325,1326,1328,1330,1332,1334],{},[158,1327,746],{},[158,1329,691],{},[158,1331,1117],{},[158,1333,1117],{},[158,1335,1336],{},"❌（腾讯系）",[143,1338,1339,1341,1343,1345,1347],{},[158,1340,710],{},[158,1342,713],{},[158,1344,694],{},[158,1346,694],{},[158,1348,694],{},[143,1350,1351,1354,1356,1358,1360],{},[158,1352,1353],{},"中文社区",[158,1355,691],{},[158,1357,688],{},[158,1359,688],{},[158,1361,688],{},[20,1363,1364,1367,1368,1373,1374,135],{},[24,1365,1366],{},"怎么选","（综合 ",[40,1369,1372],{"href":1370,"rel":1371},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[85],"BestHub 2025-07"," 和 ",[40,1375,1377],{"href":83,"rel":1376},[85],"博客园 2026-01",[112,1379,1380,1386,1394,1401],{},[115,1381,1382,1385],{},[24,1383,1384],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[115,1387,1388,1391,1392],{},[24,1389,1390],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队"," → ",[40,1393,43],{"href":42},[115,1395,1396,1391,1399],{},[24,1397,1398],{},"核心场景就是企业知识库 QA",[40,1400,48],{"href":47},[115,1402,1403,1391,1406],{},[24,1404,1405],{},"QQ \u002F 微信生态 + 腾讯系",[40,1407,1408],{"href":1254},"元器",[16,1410,1411],{"id":1411},"避坑清单",[112,1413,1414,1424,1430,1445,1454,1460,1471,1477],{},[115,1415,1416,1419,1420,1423],{},[24,1417,1418],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[24,1421,1422],{},"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",[115,1425,1426,1429],{},[24,1427,1428],{},"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",[115,1431,1432,1435,1436,1439,1440,1444],{},[24,1433,1434],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[251,1437,1438],{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[40,1441,1443],{"href":132,"rel":1442},[85],"火山引擎 2025 教程","）",[115,1446,1447,1450,1451,1453],{},[24,1448,1449],{},"工作流读取飞书表格默认 20 条","：要改 ",[251,1452,253],{},"，最大 500 条；超过 500 要分页或循环",[115,1455,1456,1459],{},[24,1457,1458],{},"运行超时","：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",[115,1461,1462,1465,1466,571,1468,1470],{},[24,1463,1464],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[40,1467,43],{"href":42},[40,1469,48],{"href":47}," 自托管",[115,1472,1473,1476],{},[24,1474,1475],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[115,1478,1479,1482],{},[24,1480,1481],{},"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",[16,1484,1486],{"id":1485},"适合-不适合","适合 \u002F 不适合",[20,1488,1489],{},"✅ 适合：",[112,1491,1492,1495,1498,1501,1504],{},[115,1493,1494],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[115,1496,1497],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[115,1499,1500],{},"个人副业（小红书账号批量内容生成等）",[115,1502,1503],{},"中小企业客服 Bot（3 天上线）",[115,1505,1506],{},"想用豆包 \u002F DeepSeek 国产模型的人",[20,1508,1509],{},"❌ 不适合：",[112,1511,1512,1515,1518,1523,1530],{},[115,1513,1514],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[115,1516,1517],{},"复杂业务系统深度集成（自由度不够）",[115,1519,1520,1521,1444],{},"反感字节生态（去 ",[40,1522,43],{"href":42},[115,1524,1525,1526,571,1528,1444],{},"希望开源 \u002F 完全自主可控（去 ",[40,1527,43],{"href":42},[40,1529,48],{"href":47},[115,1531,1532,1533,571,1535,1537],{},"海外 toB SaaS 产品后端（",[40,1534,43],{"href":42},[40,1536,596],{"href":595}," 更合适）",[16,1539,823],{"id":823},[112,1541,1542,1557,1574,1593],{},[115,1543,1544,1545,571,1547,571,1549,571,1551,571,1553],{},"同类对比：",[40,1546,43],{"href":42},[40,1548,48],{"href":47},[40,1550,1408],{"href":1254},[40,1552,596],{"href":595},[40,1554,1556],{"href":1555},"\u002Fagent\u002Fplatform\u002Fn8n.html","n8n",[115,1558,1559,1560,571,1563,571,1567,571,1571],{},"概念：",[40,1561,884],{"href":1562},"\u002Fwiki\u002Fai-agent.html",[40,1564,1566],{"href":1565},"\u002Fwiki\u002Frag.html","RAG",[40,1568,1570],{"href":1569},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[40,1572,1573],{"href":1562},"Multi-Agent",[115,1575,1576,1577,571,1581,571,1585,571,1589],{},"模型：",[40,1578,1580],{"href":1579},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[40,1582,1584],{"href":1583},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[40,1586,1588],{"href":1587},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[40,1590,1592],{"href":1591},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[115,1594,1595,1596,571,1600],{},"进阶：",[40,1597,1599],{"href":1598},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[40,1601,1603],{"href":1602},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[16,1605,1606],{"id":1606},"来源",[112,1608,1609,1615,1621,1628,1631],{},[115,1610,1611,1612],{},"国内版：",[40,1613,516],{"href":516,"rel":1614},[85],[115,1616,1617,1618],{},"国际版：",[40,1619,921],{"href":921,"rel":1620},[85],[115,1622,1623,1624],{},"官方文档：",[40,1625,1626],{"href":1626,"rel":1627},"https:\u002F\u002Fdocs.coze.com",[85],[115,1629,1630],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[115,1632,1633],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[20,1635,1636,1637,1640],{},"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 ",[40,1638,1639],{"href":1639},"\u002Fsubmit"," 反馈。",{"title":854,"searchDepth":855,"depth":855,"links":1642},[1643,1644,1650,1651,1652,1653,1654,1655,1656],{"id":900,"depth":858,"text":901},{"id":943,"depth":858,"text":943,"children":1645},[1646,1647,1648,1649],{"id":947,"depth":855,"text":948},{"id":1021,"depth":855,"text":1022},{"id":1060,"depth":855,"text":1061},{"id":1081,"depth":855,"text":1082},{"id":1160,"depth":858,"text":1160},{"id":1188,"depth":858,"text":1189},{"id":620,"depth":858,"text":620},{"id":1411,"depth":858,"text":1411},{"id":1485,"depth":858,"text":1486},{"id":823,"depth":858,"text":823},{"id":1606,"depth":858,"text":1606},"platform",5,"\u002Fimg\u002Ftools\u002Fcoze.webp","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,[1664,1665],"zh","en",{},[1668,1669,1670,1671,1672],"doubao-pro","deepseek-v3","qwen-max","gpt-4o (国际版)","claude (国际版)",[1674,1675,1676],"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",[1680],"web",[1682,1687,1691,1694],{"plan":1683,"price":467,"limit":1684,"cn_pay":1685,"note":1686},"免费版（扣子）","免费模型限额 + 基础功能","—","个人试水 \u002F 1-2 天 MVP",{"plan":475,"price":478,"limit":1688,"cn_pay":1689,"note":1690},"高级模型 + 高并发 + 商用授权","✅ 微信\u002F支付宝","上量后切",{"plan":486,"price":489,"limit":1692,"cn_pay":1266,"note":1693},"VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":1695,"price":1696,"cn_pay":1697,"note":1698,"limit":1685},"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":1702,"ux":1658,"price":1702,"cn_support":1658,"stability":1702},4,{"title":631,"description":1660},"Coze 扣子评测 2026：字节 AI Agent 平台，对比 Dify",[1706,1708,1710,1712,1714],{"title":1707,"url":516},"Coze 国内版（扣子）",{"title":1709,"url":921},"Coze 国际版",{"title":1711,"url":1626},"Coze 官方文档",{"title":1713,"url":83},"Coze vs Dify vs FastGPT 选型 2026",{"title":1715,"url":1370},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[1718,1719,1720,1721,1722],"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",[1725,1726,1727,1728,1729,1730],"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":1735,"title":43,"alternatives":1736,"api_compatible":1662,"body":1739,"category":1657,"chinese_friendly":1702,"cover":2730,"description":2731,"domestic":1661,"extension":872,"faq":1662,"free":1661,"github":2020,"languages":2732,"meta":2734,"models":1662,"navigation":874,"notSuitable":1662,"opensource":874,"path":2735,"pillar":1678,"platforms":2736,"priceTable":2740,"pricing":2757,"published":1700,"relatedPlaybooks":1662,"relatedReviews":1662,"score":2758,"self_host":874,"seo":2759,"seoTitle":2760,"slug":879,"sources":2761,"stem":2773,"suitable":1662,"tagline":2774,"tags":2775,"updated":1731,"verdict":2781,"website":2675,"__hash__":2782},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fdify.md",[878,880,1737,1738],"agent\u002Fplatform\u002Fn8n","agent\u002Fplatform\u002Flangflow",{"type":13,"value":1740,"toc":2708},[1741,1743,1760,1765,1767,1771,1774,1843,1846,1850,1853,1867,1883,1887,1890,1901,1905,1913,1924,1928,1931,1933,1937,1946,2005,2012,2016,2024,2088,2091,2111,2115,2118,2178,2184,2186,2279,2282,2311,2313,2441,2453,2488,2490,2562,2564,2566,2586,2588,2617,2619,2666,2668,2699,2704],[16,1742,901],{"id":900},[51,1744,1746,1751],{"className":1745},[54,55,56],[20,1747,1748,1750],{},[24,1749,909],{}," 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。",[20,1752,927,1753,1756,1757,1759],{},[24,1754,1755],{},"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 ",[40,1758,631],{"href":830}," 折腾，新手得读 1-2 小时文档。",[936,1761,1762],{},[20,1763,1764],{},"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。",[16,1766,943],{"id":943},[945,1768,1770],{"id":1769},"可视化工作流chatflow-workflow","可视化工作流（Chatflow + Workflow）",[20,1772,1773],{},"Dify 把 LLM 应用拆成两种\"应用类型\"：",[137,1775,1776,1789],{},[140,1777,1778],{},[143,1779,1780,1783,1786],{},[146,1781,1782],{},"类型",[146,1784,1785],{},"适合场景",[146,1787,1788],{},"编排范式",[153,1790,1791,1804,1817,1830],{},[143,1792,1793,1798,1801],{},[158,1794,1795],{},[24,1796,1797],{},"Chatbot",[158,1799,1800],{},"简单对话机器人",[158,1802,1803],{},"prompt + tools",[143,1805,1806,1811,1814],{},[158,1807,1808],{},[24,1809,1810],{},"Agent",[158,1812,1813],{},"自主多步任务",[158,1815,1816],{},"ReAct \u002F Function Calling",[143,1818,1819,1824,1827],{},[158,1820,1821],{},[24,1822,1823],{},"Chatflow",[158,1825,1826],{},"对话型工作流（多轮 + 分支）",[158,1828,1829],{},"节点 DAG，带聊天上下文",[143,1831,1832,1837,1840],{},[158,1833,1834],{},[24,1835,1836],{},"Workflow",[158,1838,1839],{},"单次输入→输出（API 模式）",[158,1841,1842],{},"节点 DAG，无对话状态",[20,1844,1845],{},"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\"。",[945,1847,1849],{"id":1848},"rag-知识库","RAG 知识库",[20,1851,1852],{},"内置完整 RAG 链路：",[1191,1854,1855,1858,1861,1864],{},[115,1856,1857],{},"上传文档（PDF \u002F Word \u002F Markdown \u002F 网页）",[115,1859,1860],{},"自动分块 + embedding（可配置分段策略和 embedding 模型）",[115,1862,1863],{},"混合检索（向量 + 全文 + 重排）",[115,1865,1866],{},"引用溯源（回答末尾自动附原文片段）",[20,1868,1869,1870,1875,1876,1879,1880,1882],{},"注意：根据 ",[40,1871,1874],{"href":1872,"rel":1873},"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F1887141987838309480",[85],"知乎 LLM 实战笔记 2025-03 对比"," 的实测，Dify ",[24,1877,1878],{},"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 ",[40,1881,48],{"href":47},"（实测准确率高 10+ 个百分点），Dify 胜在工作流而非纯 RAG。",[945,1884,1886],{"id":1885},"模型生态40-提供商","模型生态：40+ 提供商",[20,1888,1889],{},"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。",[20,1891,1892,1893,1895,1896,1900],{},"国产模型原生支持（不像 ",[40,1894,48],{"href":47}," 需要 ",[40,1897,1899],{"href":1898},"\u002Fcoding\u002Fapi\u002Fone-api.html","OneAPI"," 中转），是 Dify 在国内 toB 场景流行的关键。",[945,1902,1904],{"id":1903},"mcp-协议支持","MCP 协议支持",[20,1906,1907,1908,1912],{},"Dify 较早接入了 ",[40,1909,1911],{"href":1910},"\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：",[112,1914,1915,1918,1921],{},[115,1916,1917],{},"通过 MCP 调本地 PostgreSQL \u002F SQLite",[115,1919,1920],{},"通过 MCP 调 GitHub \u002F Slack \u002F Linear",[115,1922,1923],{},"通过 MCP 调自家内部系统（写一个 MCP Server 即可）",[945,1925,1927],{"id":1926},"api-first","API-first",[20,1929,1930],{},"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。",[16,1932,1160],{"id":1160},[945,1934,1936],{"id":1935},"云版difyai","云版（dify.ai）",[20,1938,1939,1940,1945],{},"根据 ",[40,1941,1944],{"href":1942,"rel":1943},"https:\u002F\u002Fwww.tooljunction.io\u002Fai-tools\u002Fdify-ai",[85],"tooljunction.io 2026 评测"," 引用的官方定价：",[137,1947,1948,1960],{},[140,1949,1950],{},[143,1951,1952,1955,1957],{},[146,1953,1954],{},"套餐",[146,1956,454],{},[146,1958,1959],{},"主要限制",[153,1961,1962,1972,1983,1994],{},[143,1963,1964,1967,1969],{},[158,1965,1966],{},"Sandbox",[158,1968,518],{},[158,1970,1971],{},"200 次模型调用，1 app，5MB 知识库",[143,1973,1974,1977,1980],{},[158,1975,1976],{},"Professional",[158,1978,1979],{},"$59\u002F月起",[158,1981,1982],{},"5000 调用\u002F月，多 app，50MB 知识库",[143,1984,1985,1988,1991],{},[158,1986,1987],{},"Team",[158,1989,1990],{},"$159\u002F月起",[158,1992,1993],{},"团队协作、SSO",[143,1995,1996,1999,2002],{},[158,1997,1998],{},"Enterprise",[158,2000,2001],{},"联系销售",[158,2003,2004],{},"定制 SLA、私有云",[20,2006,2007,2008,2011],{},"注意：云版价格只是 Dify 平台费，",[24,2009,2010],{},"模型 API 费用另算","（自带 OpenAI \u002F Anthropic key）。",[945,2013,2015],{"id":2014},"自托管推荐","自托管（推荐）",[20,2017,2018,2023],{},[40,2019,2022],{"href":2020,"rel":2021},"https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify",[85],"官方 GitHub 仓库"," 提供 Docker Compose 部署，社区版完全免费可商用：",[2025,2026,2030],"pre",{"className":2027,"code":2028,"language":2029,"meta":854,"style":854},"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",[251,2031,2032,2048,2057,2068,2082],{"__ignoreMap":854},[2033,2034,2037,2041,2045],"span",{"class":2035,"line":2036},"line",1,[2033,2038,2040],{"class":2039},"sScJk","git",[2033,2042,2044],{"class":2043},"sZZnC"," clone",[2033,2046,2047],{"class":2043}," https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\n",[2033,2049,2050,2054],{"class":2035,"line":858},[2033,2051,2053],{"class":2052},"sj4cs","cd",[2033,2055,2056],{"class":2043}," dify\u002Fdocker\n",[2033,2058,2059,2062,2065],{"class":2035,"line":855},[2033,2060,2061],{"class":2039},"cp",[2033,2063,2064],{"class":2043}," .env.example",[2033,2066,2067],{"class":2043}," .env\n",[2033,2069,2070,2073,2076,2079],{"class":2035,"line":1702},[2033,2071,2072],{"class":2039},"docker",[2033,2074,2075],{"class":2043}," compose",[2033,2077,2078],{"class":2043}," up",[2033,2080,2081],{"class":2052}," -d\n",[2033,2083,2084],{"class":2035,"line":1658},[2033,2085,2087],{"class":2086},"sJ8bj","# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[20,2089,2090],{},"硬件门槛（社区共识，非官方硬性要求）：",[112,2092,2093,2099,2105],{},[115,2094,2095,2098],{},[24,2096,2097],{},"最低","：2 核 4G，纯外接 API 模式",[115,2100,2101,2104],{},[24,2102,2103],{},"推荐","：4 核 8G + 至少 30GB 磁盘（向量数据 + 文件存储）",[115,2106,2107,2110],{},[24,2108,2109],{},"企业","：8 核 16G+，单机日活上千",[945,2112,2114],{"id":2113},"真实-tco","真实 TCO",[20,2116,2117],{},"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）：",[137,2119,2120,2133],{},[140,2121,2122],{},[143,2123,2124,2127,2130],{},[146,2125,2126],{},"成本项",[146,2128,2129],{},"云版 Professional",[146,2131,2132],{},"自托管",[153,2134,2135,2146,2156,2167],{},[143,2136,2137,2140,2143],{},[158,2138,2139],{},"平台费",[158,2141,2142],{},"~$2,100（3 年）",[158,2144,2145],{},"$0",[143,2147,2148,2151,2153],{},[158,2149,2150],{},"服务器",[158,2152,2145],{},[158,2154,2155],{},"~$50\u002F月 × 36 = $1,800",[143,2157,2158,2161,2164],{},[158,2159,2160],{},"模型 API",[158,2162,2163],{},"与下同",[158,2165,2166],{},"与上同",[143,2168,2169,2172,2175],{},[158,2170,2171],{},"运维人力",[158,2173,2174],{},"0",[158,2176,2177],{},"约 0.2 人月",[20,2179,2180,2183],{},[24,2181,2182],{},"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。",[16,2185,1189],{"id":1188},[2025,2187,2189],{"className":2027,"code":2188,"language":2029,"meta":854,"style":854},"# 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",[251,2190,2191,2196,2204,2210,2218,2228,2234,2240,2246,2251,2257,2262,2268,2273],{"__ignoreMap":854},[2033,2192,2193],{"class":2035,"line":2036},[2033,2194,2195],{"class":2086},"# 1. 自托管（社区版）\n",[2033,2197,2198,2200,2202],{"class":2035,"line":858},[2033,2199,2040],{"class":2039},[2033,2201,2044],{"class":2043},[2033,2203,2047],{"class":2043},[2033,2205,2206,2208],{"class":2035,"line":855},[2033,2207,2053],{"class":2052},[2033,2209,2056],{"class":2043},[2033,2211,2212,2214,2216],{"class":2035,"line":1702},[2033,2213,2061],{"class":2039},[2033,2215,2064],{"class":2043},[2033,2217,2067],{"class":2043},[2033,2219,2220,2222,2224,2226],{"class":2035,"line":1658},[2033,2221,2072],{"class":2039},[2033,2223,2075],{"class":2043},[2033,2225,2078],{"class":2043},[2033,2227,2081],{"class":2052},[2033,2229,2231],{"class":2035,"line":2230},6,[2033,2232,2233],{"emptyLinePlaceholder":874},"\n",[2033,2235,2237],{"class":2035,"line":2236},7,[2033,2238,2239],{"class":2086},"# 2. 浏览器打开 http:\u002F\u002Flocalhost\n",[2033,2241,2243],{"class":2035,"line":2242},8,[2033,2244,2245],{"class":2086},"#    首次会让你创建 admin 账号\n",[2033,2247,2249],{"class":2035,"line":2248},9,[2033,2250,2233],{"emptyLinePlaceholder":874},[2033,2252,2254],{"class":2035,"line":2253},10,[2033,2255,2256],{"class":2086},"# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n",[2033,2258,2260],{"class":2035,"line":2259},11,[2033,2261,2233],{"emptyLinePlaceholder":874},[2033,2263,2265],{"class":2035,"line":2264},12,[2033,2266,2267],{"class":2086},"# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n",[2033,2269,2270],{"class":2035,"line":8},[2033,2271,2272],{"class":2086},"# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n",[2033,2274,2276],{"class":2035,"line":2275},14,[2033,2277,2278],{"class":2086},"# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[16,2280,2281],{"id":2281},"国内使用注意事项",[1191,2283,2284,2290,2296,2302],{},[115,2285,2286,2289],{},[24,2287,2288],{},"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",[115,2291,2292,2295],{},[24,2293,2294],{},"自托管 + 国产模型"," = 完全国内闭环，是 Dify 在国内最大优势",[115,2297,2298,2301],{},[24,2299,2300],{},"Docker 镜像拉取","：国内可能慢，建议配 Docker registry 镜像（阿里云 \u002F 网易）",[115,2303,2304,2307,2308,2310],{},[24,2305,2306],{},"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 ",[40,2309,631],{"href":830}," 迁到 Dify",[16,2312,620],{"id":620},[137,2314,2315,2335],{},[140,2316,2317],{},[143,2318,2319,2321,2323,2327,2331],{},[146,2320,363],{},[146,2322,43],{},[146,2324,2325],{},[40,2326,631],{"href":830},[146,2328,2329],{},[40,2330,48],{"href":47},[146,2332,2333],{},[40,2334,1556],{"href":1555},[153,2336,2337,2350,2362,2375,2387,2400,2414,2427],{},[143,2338,2339,2341,2343,2345,2347],{},[158,2340,646],{},[158,2342,1266],{},[158,2344,1117],{},[158,2346,1266],{},[158,2348,2349],{},"✅（fair-code）",[143,2351,2352,2354,2356,2358,2360],{},[158,2353,659],{},[158,2355,1266],{},[158,2357,1117],{},[158,2359,1266],{},[158,2361,1266],{},[143,2363,2364,2366,2368,2371,2373],{},[158,2365,672],{},[158,2367,694],{},[158,2369,2370],{},"★★☆☆☆ 最简单",[158,2372,694],{},[158,2374,688],{},[143,2376,2377,2379,2381,2383,2385],{},[158,2378,685],{},[158,2380,691],{},[158,2382,688],{},[158,2384,694],{},[158,2386,691],{},[143,2388,2389,2391,2393,2395,2397],{},[158,2390,699],{},[158,2392,688],{},[158,2394,694],{},[158,2396,691],{},[158,2398,2399],{},"★★☆☆☆",[143,2401,2402,2405,2407,2409,2412],{},[158,2403,2404],{},"模型生态",[158,2406,691],{},[158,2408,688],{},[158,2410,2411],{},"★★★☆☆（OneAPI 中转）",[158,2413,688],{},[143,2415,2416,2419,2421,2423,2425],{},[158,2417,2418],{},"中文场景",[158,2420,688],{},[158,2422,691],{},[158,2424,688],{},[158,2426,694],{},[143,2428,2429,2432,2434,2437,2439],{},[158,2430,2431],{},"字节生态绑定",[158,2433,1117],{},[158,2435,2436],{},"✅（飞书\u002F抖音深度集成）",[158,2438,1117],{},[158,2440,1117],{},[20,2442,2443,2445,2446,1373,2449,2452],{},[24,2444,1366],{},"（基于 ",[40,2447,1372],{"href":1370,"rel":2448},[85],[40,2450,1377],{"href":83,"rel":2451},[85]," 两份选型指南综合）：",[112,2454,2455,2461,2468,2474,2481],{},[115,2456,2457,2460],{},[24,2458,2459],{},"数据必须不出内网 + 工作流复杂"," → Dify",[115,2462,2463,1391,2466],{},[24,2464,2465],{},"个人 \u002F 小团队 \u002F 快速原型 + 字节生态",[40,2467,631],{"href":830},[115,2469,2470,1391,2472],{},[24,2471,1398],{},[40,2473,48],{"href":47},[115,2475,2476,1391,2479],{},[24,2477,2478],{},"重点是连接外部 SaaS（Slack \u002F Notion \u002F 数据库）",[40,2480,1556],{"href":1555},[115,2482,2483,1391,2486],{},[24,2484,2485],{},"要画图式表达 LangChain pipeline",[40,2487,596],{"href":595},[16,2489,1411],{"id":1411},[112,2491,2492,2498,2514,2525,2538,2544,2550,2556],{},[115,2493,2494,2497],{},[24,2495,2496],{},"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。",[115,2499,2500,74,2506,2509,2510,2513],{},[24,2501,2502,2505],{},[251,2503,2504],{},".env"," 文件改完忘 restart",[251,2507,2508],{},"docker compose down && up -d","，不是 ",[251,2511,2512],{},"restart","——后者不重新加载 env。",[115,2515,2516,74,2519,2524],{},[24,2517,2518],{},"大版本升级会破坏数据库 schema",[40,2520,2523],{"href":2521,"rel":2522},"https:\u002F\u002Fdocs.dify.ai\u002Fzh-hans",[85],"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。",[115,2526,2527,2530,2531,2533,2534,2537],{},[24,2528,2529],{},"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 ",[251,2532,2504],{}," 的 ",[251,2535,2536],{},"UPLOAD_FILE_SIZE_LIMIT"," 并重启容器。",[115,2539,2540,2543],{},[24,2541,2542],{},"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。",[115,2545,2546,2549],{},[24,2547,2548],{},"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。",[115,2551,2552,2555],{},[24,2553,2554],{},"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。",[115,2557,2558,2561],{},[24,2559,2560],{},"国内 Docker 拉取镜像慢","：先配国内 registry，否则首次 pull 可能要 30+ 分钟。",[16,2563,1486],{"id":1485},[20,2565,1489],{},[112,2567,2568,2571,2574,2577,2580,2583],{},[115,2569,2570],{},"中大型企业 LLM 中台建设",[115,2572,2573],{},"需要私有化部署（金融 \u002F 医疗 \u002F 政府）",[115,2575,2576],{},"想做\"AI 工作流即产品\"的开发团队",[115,2578,2579],{},"同时需要 RAG + Agent + Workflow 三件套",[115,2581,2582],{},"想用国产模型 + 国际模型混合编排",[115,2584,2585],{},"已经接受 Docker + 一定运维投入",[20,2587,1509],{},[112,2589,2590,2596,2602,2605,2611],{},[115,2591,2592,2593,2595],{},"纯个人玩家做对话机器人（",[40,2594,631],{"href":830}," 更快）",[115,2597,2598,2599,2601],{},"只想做企业知识库 QA（",[40,2600,48],{"href":47}," RAG 更专）",[115,2603,2604],{},"团队完全没运维能力（云版还行，自托管会踩坑）",[115,2606,2607,2608,2610],{},"需要深度对接字节飞书 \u002F 抖音（",[40,2609,631],{"href":830}," 原生）",[115,2612,2613,2614,2616],{},"工作流核心是连接 100+ SaaS（",[40,2615,1556],{"href":1555}," 节点更全）",[16,2618,823],{"id":823},[112,2620,2621,2631,2643,2658],{},[115,2622,1544,2623,571,2625,571,2627,571,2629],{},[40,2624,631],{"href":830},[40,2626,48],{"href":47},[40,2628,1556],{"href":1555},[40,2630,596],{"href":595},[115,2632,2633,2634,571,2636,571,2638,571,2641],{},"概念基础：",[40,2635,884],{"href":1562},[40,2637,1566],{"href":1565},[40,2639,2640],{"href":1910},"MCP",[40,2642,1570],{"href":1569},[115,2644,2645,2646,571,2650,571,2654,571,2656],{},"模型选型：",[40,2647,2649],{"href":2648},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[40,2651,2653],{"href":2652},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[40,2655,1584],{"href":1583},[40,2657,1592],{"href":1591},[115,2659,1595,2660,571,2664],{},[40,2661,2663],{"href":2662},"\u002Fwiki\u002Ffine-tuning-vs-rag.html","Fine-tuning vs RAG",[40,2665,1603],{"href":1602},[16,2667,1606],{"id":1606},[112,2669,2670,2677,2683,2689,2696],{},[115,2671,2672,2673],{},"官网：",[40,2674,2675],{"href":2675,"rel":2676},"https:\u002F\u002Fdify.ai",[85],[115,2678,2679,2680],{},"中文文档：",[40,2681,2521],{"href":2521,"rel":2682},[85],[115,2684,2685,2686],{},"GitHub：",[40,2687,2020],{"href":2020,"rel":2688},[85],[115,2690,2691,2692],{},"官方定价：",[40,2693,2694],{"href":2694,"rel":2695},"https:\u002F\u002Fdify.ai\u002Fpricing",[85],[115,2697,2698],{},"第三方评测：tooljunction.io \u002F chatforest.com \u002F besthub.dev \u002F joshuaopolko.com \u002F 知乎 LLM 实战笔记",[20,2700,2701,2702,1640],{},"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 ",[40,2703,1639],{"href":1639},[2705,2706,2707],"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":854,"searchDepth":855,"depth":855,"links":2709},[2710,2711,2718,2723,2724,2725,2726,2727,2728,2729],{"id":900,"depth":858,"text":901},{"id":943,"depth":858,"text":943,"children":2712},[2713,2714,2715,2716,2717],{"id":1769,"depth":855,"text":1770},{"id":1848,"depth":855,"text":1849},{"id":1885,"depth":855,"text":1886},{"id":1903,"depth":855,"text":1904},{"id":1926,"depth":855,"text":1927},{"id":1160,"depth":858,"text":1160,"children":2719},[2720,2721,2722],{"id":1935,"depth":855,"text":1936},{"id":2014,"depth":855,"text":2015},{"id":2113,"depth":855,"text":2114},{"id":1188,"depth":858,"text":1189},{"id":2281,"depth":858,"text":2281},{"id":620,"depth":858,"text":620},{"id":1411,"depth":858,"text":1411},{"id":1485,"depth":858,"text":1486},{"id":823,"depth":858,"text":823},{"id":1606,"depth":858,"text":1606},"\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。",[1664,1665,2733],"ja",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fdify",[2737,2738,2739,2072],"windows","macos","linux",[2741,2745,2749,2753],{"plan":2742,"price":2145,"features":2743,"notes":2744},"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":2746,"price":2145,"features":2747,"notes":2748},"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":2750,"price":1979,"features":2751,"notes":2752},"Cloud Professional","更高调用额度 + 团队协作 + 商用支持","商用云首选",{"plan":2754,"price":2755,"features":2756,"notes":2001},"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":1658,"ux":1702,"price":1658,"cn_support":1702,"stability":1702},{"title":43,"description":2731},"Dify 评测 2026：开源 LLMOps 与 AI Agent 平台，自托管指南",[2762,2764,2766,2768,2770],{"title":2763,"url":2521},"Dify 官方文档（中文）",{"title":2765,"url":2020},"Dify GitHub",{"title":2767,"url":2694},"Dify 官方定价",{"title":2769,"url":1370},"Coze vs Dify vs FastGPT 选型",{"title":2771,"url":2772},"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",[1725,2776,2777,2778,1727,2779,2780],"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":2784,"title":48,"alternatives":2785,"api_compatible":2788,"body":2790,"category":1657,"chinese_friendly":1658,"cover":3795,"description":3796,"domestic":1661,"extension":872,"faq":1662,"free":1661,"github":3758,"languages":3797,"meta":3798,"models":3799,"navigation":874,"notSuitable":3803,"opensource":874,"path":3807,"pillar":1678,"platforms":3808,"priceTable":3809,"pricing":3831,"published":1700,"relatedPlaybooks":3832,"relatedReviews":3834,"score":3836,"self_host":874,"seo":3837,"seoTitle":1662,"slug":880,"sources":3838,"stem":3849,"suitable":3850,"tagline":3856,"tags":3857,"updated":1731,"verdict":3861,"website":3752,"__hash__":3862},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt.md",[879,878,2786,2787],"agent\u002Fplatform\u002Fragflow","agent\u002Fplatform\u002Fanythingllm",[2789],"openai",{"type":13,"value":2791,"toc":3777},[2792,2794,2823,2834,2836,2840,2843,2857,2860,2886,2890,2897,2929,2936,2940,2993,3000,3003,3006,3009,3016,3062,3068,3072,3103,3107,3213,3216,3219,3223,3231,3353,3368,3370,3527,3535,3569,3575,3577,3651,3653,3655,3675,3677,3695,3697,3744,3746,3769,3774],[16,2793,901],{"id":900},[51,2795,2797,2812],{"className":2796},[54,55,56],[20,2798,2799,2801,2802,2807,2808,2811],{},[24,2800,909],{}," labring 团队开源的 LLM 知识库 RAG 平台，27k+ GitHub star（截至 2026-03 数据，",[40,2803,2806],{"href":2804,"rel":2805},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2632669",[85],"腾讯云 2026-03 教程"," 引用），Apache 2.0 许可证可商用。",[24,2809,2810],{},"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。",[20,2813,2814,2815,2818,2819,2822],{},"最大价值在 ",[24,2816,2817],{},"国内企业知识库 + 私有部署"," 场景。代价是 ",[24,2820,2821],{},"配置门槛","：docker 基础 + 网络知识 + 一定运维能力。",[936,2824,2825],{},[20,2826,2827,2828,2833],{},"来源说明：本文基于 fastgpt.io 官方页面、github.com\u002Flabring\u002FFastGPT 仓库、",[40,2829,2832],{"href":2830,"rel":2831},"https:\u002F\u002Fwww.nanhuantech.com\u002Fzh\u002Fai-reviews\u002Ffastgpt-2025-review",[85],"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。",[16,2835,943],{"id":943},[945,2837,2839],{"id":2838},"知识库管理核心能力","知识库管理（核心能力）",[20,2841,2842],{},"支持文件类型：",[112,2844,2845,2848,2851,2854],{},[115,2846,2847],{},"文档：PDF \u002F Word \u002F Markdown \u002F TXT \u002F HTML",[115,2849,2850],{},"表格：Excel \u002F CSV",[115,2852,2853],{},"网页：URL 抓取 + 定时同步",[115,2855,2856],{},"API：通过接口推送内容",[20,2858,2859],{},"处理流程：上传 → 文本切分 → 向量化 → 存储 → 可用于问答。支持：",[112,2861,2862,2868,2874,2880],{},[115,2863,2864,2867],{},[24,2865,2866],{},"文件夹分组","：不同主题 \u002F 部门分类",[115,2869,2870,2873],{},[24,2871,2872],{},"多种分块策略","：默认按段落 \u002F 按 token 数 \u002F 自定义",[115,2875,2876,2879],{},[24,2877,2878],{},"批量导入","：脚本化大批量同步",[115,2881,2882,2885],{},[24,2883,2884],{},"定时同步","：网页源自动更新",[945,2887,2889],{"id":2888},"rag-流程编排最强卖点","RAG 流程编排（最强卖点）",[20,2891,2892,2896],{},[40,2893,2895],{"href":2830,"rel":2894},[85],"南环 AI 2026 评测"," 总结的 FastGPT RAG 链路：",[1191,2898,2899,2905,2911,2917,2923],{},[115,2900,2901,2904],{},[24,2902,2903],{},"问题预处理","：改写 \u002F 扩展 \u002F 错词纠正（提升召回率）",[115,2906,2907,2910],{},[24,2908,2909],{},"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",[115,2912,2913,2916],{},[24,2914,2915],{},"重排序（Rerank）","：对初步检索结果二次排序，提升相关性",[115,2918,2919,2922],{},[24,2920,2921],{},"上下文组装","：最优 chunk + 问题 → prompt",[115,2924,2925,2928],{},[24,2926,2927],{},"答案生成","：调大模型基于检索结果回答 + 引用标注",[20,2930,2931,2932,2935],{},"每一步都可视化调参，这是 FastGPT 比 Coze \u002F Dify 在 ",[24,2933,2934],{},"纯知识库 QA 精度","上更高的原因。",[945,2937,2939],{"id":2938},"多模型支持不绑定厂商","多模型支持（不绑定厂商）",[137,2941,2942,2952],{},[140,2943,2944],{},[143,2945,2946,2949],{},[146,2947,2948],{},"模型类别",[146,2950,2951],{},"支持",[153,2953,2954,2962,2969,2977,2985],{},[143,2955,2956,2959],{},[158,2957,2958],{},"国产闭源",[158,2960,2961],{},"豆包 \u002F 通义千问 \u002F 文心一言 \u002F 智谱 GLM \u002F Moonshot Kimi \u002F MiniMax",[143,2963,2964,2966],{},[158,2965,646],{},[158,2967,2968],{},"LLaMA \u002F Qwen \u002F ChatGLM \u002F DeepSeek 等可自部署",[143,2970,2971,2974],{},[158,2972,2973],{},"OpenAI 系",[158,2975,2976],{},"GPT-5 \u002F GPT-5 mini \u002F o3",[143,2978,2979,2982],{},[158,2980,2981],{},"Claude 系",[158,2983,2984],{},"Sonnet 4 \u002F Opus 4 \u002F Haiku",[143,2986,2987,2990],{},[158,2988,2989],{},"嵌入 \u002F 重排",[158,2991,2992],{},"BGE \u002F m3e \u002F OpenAI text-embedding-3",[20,2994,2995,2996,2999],{},"可以在 ",[24,2997,2998],{},"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。",[945,3001,3002],{"id":3002},"工作流与高级编排",[20,3004,3005],{},"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。",[945,3007,3008],{"id":3008},"多向量库选择",[20,3010,3011,3015],{},[40,3012,3014],{"href":2804,"rel":3013},[85],"腾讯云教程"," 公开的 4 种向量后端：",[137,3017,3018,3028],{},[140,3019,3020],{},[143,3021,3022,3025],{},[146,3023,3024],{},"后端",[146,3026,3027],{},"适用",[153,3029,3030,3038,3046,3054],{},[143,3031,3032,3035],{},[158,3033,3034],{},"PgVector",[158,3036,3037],{},"5000 万索引以下，新手 \u002F 小规模",[143,3039,3040,3043],{},[158,3041,3042],{},"Milvus",[158,3044,3045],{},"亿级以上，高性能",[143,3047,3048,3051],{},[158,3049,3050],{},"Zilliz Cloud",[158,3052,3053],{},"Milvus 全托管 SaaS",[143,3055,3056,3059],{},[158,3057,3058],{},"SeekDB \u002F OceanBase",[158,3060,3061],{},"企业级国产化",[20,3063,3064,3065,49],{},"部署时选对应 ",[251,3066,3067],{},"docker-compose.{pgvector|milvus|...}.yml",[945,3069,3071],{"id":3070},"api-与-mcp","API 与 MCP",[112,3073,3074,3080,3086,3097],{},[115,3075,3076,3079],{},[24,3077,3078],{},"对话 API","：流式 \u002F 非流式 HTTP，OpenAI 兼容",[115,3081,3082,3085],{},[24,3083,3084],{},"知识库检索 API","：单独调检索（不走生成）做 hybrid pipeline",[115,3087,3088,3091,3092,3096],{},[24,3089,3090],{},"MCP Server","：3005 端口暴露 MCP SSE 服务，可被 ",[40,3093,3095],{"href":3094},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code"," 等客户端直接接入",[115,3098,3099,3102],{},[24,3100,3101],{},"Webhook","：回调通知",[16,3104,3106],{"id":3105},"部署-10-分钟docker","部署 10 分钟（Docker）",[2025,3108,3110],{"className":2027,"code":3109,"language":2029,"meta":854,"style":854},"# 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",[251,3111,3112,3117,3126,3133,3137,3142,3155,3159,3164,3171,3179,3183,3188,3203,3207],{"__ignoreMap":854},[2033,3113,3114],{"class":2035,"line":2036},[2033,3115,3116],{"class":2086},"# 克隆代码\n",[2033,3118,3119,3121,3123],{"class":2035,"line":858},[2033,3120,2040],{"class":2039},[2033,3122,2044],{"class":2043},[2033,3124,3125],{"class":2043}," https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\n",[2033,3127,3128,3130],{"class":2035,"line":855},[2033,3129,2053],{"class":2052},[2033,3131,3132],{"class":2043}," FastGPT\n",[2033,3134,3135],{"class":2035,"line":1702},[2033,3136,2233],{"emptyLinePlaceholder":874},[2033,3138,3139],{"class":2035,"line":1658},[2033,3140,3141],{"class":2086},"# 切到最新稳定版（参考 GitHub releases）\n",[2033,3143,3144,3146,3149,3152],{"class":2035,"line":2230},[2033,3145,2040],{"class":2039},[2033,3147,3148],{"class":2043}," switch",[2033,3150,3151],{"class":2052}," -c",[2033,3153,3154],{"class":2052}," 4.14.7.2\n",[2033,3156,3157],{"class":2035,"line":2236},[2033,3158,2233],{"emptyLinePlaceholder":874},[2033,3160,3161],{"class":2035,"line":2242},[2033,3162,3163],{"class":2086},"# 选向量库版本（个人 \u002F 小规模选 pg）\n",[2033,3165,3166,3168],{"class":2035,"line":2248},[2033,3167,2053],{"class":2052},[2033,3169,3170],{"class":2043}," deploy\u002Fdocker\u002Fcn\n",[2033,3172,3173,3176],{"class":2035,"line":2253},[2033,3174,3175],{"class":2039},"wget",[2033,3177,3178],{"class":2043}," https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n",[2033,3180,3181],{"class":2035,"line":2259},[2033,3182,2233],{"emptyLinePlaceholder":874},[2033,3184,3185],{"class":2035,"line":2264},[2033,3186,3187],{"class":2086},"# 启动\n",[2033,3189,3190,3193,3196,3199,3201],{"class":2035,"line":8},[2033,3191,3192],{"class":2039},"docker-compose",[2033,3194,3195],{"class":2052}," -f",[2033,3197,3198],{"class":2043}," docker-compose.pg.yml",[2033,3200,2078],{"class":2043},[2033,3202,2081],{"class":2052},[2033,3204,3205],{"class":2035,"line":2275},[2033,3206,2233],{"emptyLinePlaceholder":874},[2033,3208,3210],{"class":2035,"line":3209},15,[2033,3211,3212],{"class":2086},"# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[20,3214,3215],{},"最低配置：2C4G + 20GB 硬盘 + Docker 28+ + Docker Compose 2.20+。",[20,3217,3218],{},"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。",[16,3220,3222],{"id":3221},"云版-vs-自托管对比","云版 vs 自托管对比",[20,3224,3225,3230],{},[40,3226,3229],{"href":3227,"rel":3228},"https:\u002F\u002Ffastgpt.io\u002Fzh\u002Fprice",[85],"fastgpt.io 官方定价"," 公开数据：",[137,3232,3233,3258],{},[140,3234,3235],{},[143,3236,3237,3239,3241,3244,3247,3250,3252,3255],{},[146,3238,1954],{},[146,3240,454],{},[146,3242,3243],{},"AI 积分",[146,3245,3246],{},"知识库索引",[146,3248,3249],{},"团队",[146,3251,1810],{},[146,3253,3254],{},"知识库",[146,3256,3257],{},"QPM",[153,3259,3260,3284,3309,3333],{},[143,3261,3262,3264,3266,3269,3272,3275,3278,3281],{},[158,3263,518],{},[158,3265,467],{},[158,3267,3268],{},"100",[158,3270,3271],{},"600",[158,3273,3274],{},"1",[158,3276,3277],{},"10",[158,3279,3280],{},"3",[158,3282,3283],{},"30",[143,3285,3286,3289,3292,3295,3298,3301,3304,3306],{},[158,3287,3288],{},"基础",[158,3290,3291],{},"¥99\u002F月",[158,3293,3294],{},"4000",[158,3296,3297],{},"6000",[158,3299,3300],{},"5",[158,3302,3303],{},"50",[158,3305,3283],{},[158,3307,3308],{},"300",[143,3310,3311,3314,3317,3320,3323,3325,3328,3330],{},[158,3312,3313],{},"高级",[158,3315,3316],{},"¥599\u002F月",[158,3318,3319],{},"25000",[158,3321,3322],{},"36000",[158,3324,3303],{},[158,3326,3327],{},"200",[158,3329,3268],{},[158,3331,3332],{},"1500",[143,3334,3335,3338,3340,3343,3345,3347,3349,3351],{},[158,3336,3337],{},"定制",[158,3339,489],{},[158,3341,3342],{},"弹性",[158,3344,3342],{},[158,3346,3342],{},[158,3348,3342],{},[158,3350,3342],{},[158,3352,3342],{},[20,3354,3355,3358,3359,3362,3363,3367],{},[24,3356,3357],{},"云版适合","：不想运维、量小、要快速上线\n",[24,3360,3361],{},"自托管适合","：量大（10 万+ 日问答）、数据敏感、要深度定制——按 ",[40,3364,3366],{"href":2830,"rel":3365},[85],"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\"",[16,3369,620],{"id":620},[137,3371,3372,3394],{},[140,3373,3374],{},[143,3375,3376,3378,3380,3384,3388,3391],{},[146,3377,363],{},[146,3379,48],{},[146,3381,3382],{},[40,3383,43],{"href":42},[146,3385,3386],{},[40,3387,631],{"href":830},[146,3389,3390],{},"RAGFlow",[146,3392,3393],{},"AnythingLLM",[153,3395,3396,3416,3432,3447,3464,3479,3496,3511],{},[143,3397,3398,3401,3404,3407,3410,3413],{},[158,3399,3400],{},"核心定位",[158,3402,3403],{},"知识库 QA",[158,3405,3406],{},"综合 LLMOps",[158,3408,3409],{},"Bot + 工作流",[158,3411,3412],{},"文档解析+RAG",[158,3414,3415],{},"桌面级 KB",[143,3417,3418,3420,3423,3425,3427,3429],{},[158,3419,646],{},[158,3421,3422],{},"✅ Apache 2.0",[158,3424,3422],{},[158,3426,1117],{},[158,3428,3422],{},[158,3430,3431],{},"✅ MIT",[143,3433,3434,3436,3439,3441,3443,3445],{},[158,3435,659],{},[158,3437,3438],{},"★★★★★ docker",[158,3440,691],{},[158,3442,1277],{},[158,3444,688],{},[158,3446,691],{},[143,3448,3449,3452,3455,3457,3459,3462],{},[158,3450,3451],{},"RAG 深度",[158,3453,3454],{},"★★★★★ 最细",[158,3456,688],{},[158,3458,694],{},[158,3460,3461],{},"★★★★★ 文档解析最强",[158,3463,694],{},[143,3465,3466,3469,3471,3473,3475,3477],{},[158,3467,3468],{},"工作流",[158,3470,688],{},[158,3472,691],{},[158,3474,688],{},[158,3476,694],{},[158,3478,2399],{},[143,3480,3481,3484,3487,3489,3492,3494],{},[158,3482,3483],{},"上手",[158,3485,3486],{},"★★★☆☆ 需 docker",[158,3488,688],{},[158,3490,3491],{},"★★★★★ 最简单",[158,3493,694],{},[158,3495,688],{},[143,3497,3498,3501,3503,3505,3507,3509],{},[158,3499,3500],{},"中文优化",[158,3502,691],{},[158,3504,688],{},[158,3506,691],{},[158,3508,688],{},[158,3510,694],{},[143,3512,3513,3516,3519,3521,3523,3525],{},[158,3514,3515],{},"多平台发布",[158,3517,3518],{},"⚠️ API 为主",[158,3520,688],{},[158,3522,691],{},[158,3524,1284],{},[158,3526,1284],{},[20,3528,3529,1367,3531,135],{},[24,3530,1366],{},[40,3532,3534],{"href":2830,"rel":3533},[85],"南环 AI 评测",[112,3536,3537,3543,3550,3557,3563],{},[115,3538,3539,3542],{},[24,3540,3541],{},"核心需求是 RAG 精度"," → FastGPT",[115,3544,3545,1391,3548],{},[24,3546,3547],{},"需要丰富插件 + 复杂工作流 + 多平台发布",[40,3549,43],{"href":42},[115,3551,3552,1391,3555],{},[24,3553,3554],{},"零代码、快速发布到飞书 \u002F 微信",[40,3556,631],{"href":830},[115,3558,3559,3562],{},[24,3560,3561],{},"文档解析（含 OCR \u002F 表格 \u002F 公式）是瓶颈"," → RAGFlow",[115,3564,3565,3568],{},[24,3566,3567],{},"桌面 \u002F 单机使用"," → AnythingLLM",[20,3570,3571,3574],{},[24,3572,3573],{},"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。",[16,3576,1411],{"id":1411},[112,3578,3579,3592,3601,3607,3617,3629,3635,3641],{},[115,3580,3581,74,3584,3587,3588,3591],{},[24,3582,3583],{},"docker-compose 镜像 tag 不一致",[40,3585,3014],{"href":2804,"rel":3586},[85]," 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 ",[251,3589,3590],{},"image:"," 行为正确版本即可",[115,3593,3594,3597,3598,3600],{},[24,3595,3596],{},"3000 端口冲突","：默认占用 3000（主服务）\u002F 9000（S3 \u002F MinIO）\u002F 3005（MCP）；改 ",[251,3599,3192],{}," 的 ports 映射端口",[115,3602,3603,3606],{},[24,3604,3605],{},"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",[115,3608,3609,3612,3613,3616],{},[24,3610,3611],{},"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 ",[40,3614,3366],{"href":2830,"rel":3615},[85],"：\"新手 \u002F 小规模 PgVector，中大规模 Milvus，企业 \u002F 国产 OceanBase\"",[115,3618,3619,74,3622,3625,3626],{},[24,3620,3621],{},"MinIO 默认密码",[251,3623,3624],{},"minioadmin\u002Fminioadmin","，",[24,3627,3628],{},"部署到公网前必须改",[115,3630,3631,3634],{},[24,3632,3633],{},"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\"",[115,3636,3637,3640],{},[24,3638,3639],{},"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",[115,3642,3643,3646,3647,1444],{},[24,3644,3645],{},"云版 AI 积分会过期","：未用完不能跨月累积（按 ",[40,3648,3650],{"href":3227,"rel":3649},[85],"fastgpt.io 定价 FAQ",[16,3652,1486],{"id":1485},[20,3654,1489],{},[112,3656,3657,3660,3663,3666,3669,3672],{},[115,3658,3659],{},"企业内部知识库（员工手册 \u002F 制度 \u002F 流程）",[115,3661,3662],{},"产品 FAQ \u002F 用户手册问答",[115,3664,3665],{},"医疗 \u002F 法律 \u002F 金融垂直领域知识系统",[115,3667,3668],{},"数据严格不出网 + Apache 2.0 商用",[115,3670,3671],{},"有 docker 运维基础的技术团队",[115,3673,3674],{},"需要把 RAG 当后端服务的开发者（API 接入业务系统）",[20,3676,1509],{},[112,3678,3679,3684,3689,3692],{},[115,3680,3681,3682,1444],{},"完全非技术用户（去 ",[40,3683,631],{"href":830},[115,3685,3686,3687,1444],{},"主要需求是工作流 + 插件集成（去 ",[40,3688,43],{"href":42},[115,3690,3691],{},"文档解析 \u002F OCR 是首要痛点（RAGFlow）",[115,3693,3694],{},"不想自己运维 + 量很小（FastGPT 云免费版起步即可）",[16,3696,823],{"id":823},[112,3698,3699,3708,3724,3738],{},[115,3700,1544,3701,571,3703,3705,3706],{},[40,3702,43],{"href":42},[40,3704,631],{"href":830}," \u002F RAGFlow \u002F AnythingLLM \u002F ",[40,3707,1556],{"href":1555},[115,3709,1559,3710,571,3712,571,3716,571,3719,571,3722],{},[40,3711,1566],{"href":1565},[40,3713,3715],{"href":3714},"\u002Fwiki\u002Fembedding.html","Embedding",[40,3717,3718],{"href":3714},"Vector Database",[40,3720,3721],{"href":1565},"Reranker",[40,3723,884],{"href":1562},[115,3725,1576,3726,571,3728,571,3730,571,3732,571,3736],{},[40,3727,1584],{"href":1583},[40,3729,1588],{"href":1587},[40,3731,1592],{"href":1591},[40,3733,3735],{"href":3734},"\u002Fmodels\u002Fkimi-k2.html","Kimi K2",[40,3737,1580],{"href":1579},[115,3739,1595,3740,571,3742],{},[40,3741,1603],{"href":1602},[40,3743,1599],{"href":1598},[16,3745,1606],{"id":1606},[112,3747,3748,3754,3760,3766],{},[115,3749,2672,3750],{},[40,3751,3752],{"href":3752,"rel":3753},"https:\u002F\u002Ffastgpt.io",[85],[115,3755,2685,3756],{},[40,3757,3758],{"href":3758,"rel":3759},"https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT",[85],[115,3761,3762,3763],{},"定价：",[40,3764,3227],{"href":3227,"rel":3765},[85],[115,3767,3768],{},"第三方评测：南环 AI \u002F 腾讯云开发者社区 \u002F 飞书 AGI 掘金知识库",[20,3770,3771,3772,1640],{},"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 命令 \u002F 功能与最新官方信息不一致，请通过 ",[40,3773,1639],{"href":1639},[2705,3775,3776],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}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 .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":854,"searchDepth":855,"depth":855,"links":3778},[3779,3780,3788,3789,3790,3791,3792,3793,3794],{"id":900,"depth":858,"text":901},{"id":943,"depth":858,"text":943,"children":3781},[3782,3783,3784,3785,3786,3787],{"id":2838,"depth":855,"text":2839},{"id":2888,"depth":855,"text":2889},{"id":2938,"depth":855,"text":2939},{"id":3002,"depth":855,"text":3002},{"id":3008,"depth":855,"text":3008},{"id":3070,"depth":855,"text":3071},{"id":3105,"depth":858,"text":3106},{"id":3221,"depth":858,"text":3222},{"id":620,"depth":858,"text":620},{"id":1411,"depth":858,"text":1411},{"id":1485,"depth":858,"text":1486},{"id":823,"depth":858,"text":823},{"id":1606,"depth":858,"text":1606},"\u002Fimg\u002Ftools\u002Ffastgpt.webp","FastGPT 真实评测：开源 LLM 知识库 RAG 平台，labring 团队出品，27k+ GitHub star。一键 docker-compose 部署、RAG 流程编排可视化、多向量库支持。AIHO 编辑部基于官方文档与社区资料整理，含与 Dify\u002FCoze 对比、避坑指南。",[1664,1665],{},[1669,1670,1668,3800,3801,3802],"gpt-4o","claude-sonnet-4","kimi",[3804,3805,3806],"完全零代码 \u002F 不懂 docker 的用户（去 Coze）","Bot 多平台一键发布场景（Coze 强项）","插件 \u002F 工作流复杂集成（去 Dify）","\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt",[2737,2738,2739],[3810,3814,3819,3823,3827],{"plan":3811,"price":518,"limit":3812,"cn_pay":1685,"note":3813},"Self-host 开源","全功能 + 全数据本地","Apache 2.0 可商用",{"plan":3815,"price":3816,"limit":3817,"cn_pay":1685,"note":3818},"云免费版","¥0\u002F月","100 AI 积分 + 600 索引 + 3 知识库","试水",{"plan":3820,"price":3291,"limit":3821,"cn_pay":1689,"note":3822},"云基础版","4000 积分 + 6000 索引 + 50 Agent","中小团队 SaaS",{"plan":3824,"price":3316,"limit":3825,"cn_pay":1266,"note":3826},"云高级版","25000 积分 + 36000 索引 + 50 成员 + 200 Agent + 1500 QPM","企业级生产",{"plan":3828,"price":489,"limit":3829,"cn_pay":1266,"note":3830},"云定制版","弹性资源 + 深度技术支持 + 专属客户经理","中大型企业","自托管开源免费 \u002F 云版 ¥0-¥599\u002F月",[3833],"onboarding\u002Ffastgpt-getting-started",[3835],"fastgpt-deep-review",{"power":1702,"ux":1702,"price":1658,"cn_support":1658,"stability":1702},{"title":48,"description":3796},[3839,3841,3843,3845,3847],{"title":3840,"url":3752},"FastGPT 官网",{"title":3842,"url":3758},"FastGPT GitHub",{"title":3844,"url":3227},"FastGPT 定价页",{"title":3846,"url":2830},"FastGPT 2025 测评（南环 AI）",{"title":3848,"url":2804},"FastGPT 部署教程（腾讯云）","tools\u002Fagent\u002Fplatform\u002Ffastgpt",[3851,3852,3853,3854,3855],"企业内部知识库（员工手册、规章、流程）","产品文档智能问答（FAQ \u002F 用户手册）","垂直领域知识库（医疗、法律、金融）","数据严格不出网的合规场景","需要精细 RAG 流程编排（重排序、混合检索、阈值调节）","开源知识库问答系统，国内私有部署友好",[1725,2776,2777,2778,3858,3859,3860],"china","knowledge-base","labring","国内企业知识库私有化首选。RAG 召回工程做得很细，可视化调试好用，docker-compose 一键部署。生态插件不如 Dify 丰富。","RC9i5Gg2wX0bUcrC3Lfq5pHAeWLGi9KP2E_gZTefpe4",1783173060746]