[{"data":1,"prerenderedAt":3672},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"alt-main-coze":8,"alt-list-coze":974},{"tools":4,"reviews":5},98,27,{"tools":4,"reviews":5,"playbooks":7,"news":5},23,{"id":9,"title":10,"alternatives":11,"api_compatible":15,"body":22,"category":885,"chinese_friendly":886,"cover":887,"description":888,"domestic":889,"extension":890,"faq":891,"free":889,"github":891,"languages":892,"lastVerified":895,"meta":896,"models":897,"navigation":889,"notSuitable":903,"opensource":907,"path":908,"pillar":909,"platforms":910,"priceTable":912,"pricing":933,"published":934,"relatedPlaybooks":891,"relatedReviews":935,"score":940,"self_host":907,"seo":942,"seoTitle":943,"slug":944,"sources":945,"stem":956,"suitable":957,"tagline":963,"tags":964,"updated":971,"verdict":972,"website":51,"__hash__":973},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md","Coze",[12,13,14],"agent\u002Fplatform\u002Fdify","agent\u002Fplatform\u002Ffastgpt","agent\u002Fplatform\u002Fyuanqi",[16,17,18,19,20,21],"OpenAI","Anthropic","百度文心","阿里通义","Moonshot Kimi","字节豆包",{"type":23,"value":24,"toc":866},"minimark",[25,30,75,81,84,89,92,108,117,167,176,180,183,215,223,227,230,250,254,342,352,355,358,378,387,391,428,431,434,579,595,626,629,703,707,710,727,730,760,763,828,831,858],[26,27,29],"h2",{"id":28},"tldr","TL;DR",[31,32,37,62],"div",{"className":33},[34,35,36],"card","p-5","my-4",[38,39,40,44,45,61],"p",{},[41,42,43],"strong",{},"一句话："," 字节跳动出品的低代码 Agent 平台，",[41,46,47,48,55,56],{},"国内版 ",[49,50,54],"a",{"href":51,"rel":52},"https:\u002F\u002Fwww.coze.cn",[53],"nofollow","coze.cn","（中文叫\"扣子\"）+ 国际版 ",[49,57,60],{"href":58,"rel":59},"https:\u002F\u002Fwww.coze.com",[53],"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。",[38,63,64,65,68,69,74],{},"最大价值是 ",[41,66,67],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[49,70,73],{"href":71,"rel":72},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[53],"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\"。",[76,77,78],"blockquote",{},[38,79,80],{},"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。",[26,82,83],{"id":83},"核心特性",[85,86,88],"h3",{"id":87},"可视化工作流最大卖点","可视化工作流（最大卖点）",[38,90,91],{},"Coze 把 Agent 拆成两层：",[93,94,95,102],"ul",{},[96,97,98,101],"li",{},[41,99,100],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[96,103,104,107],{},[41,105,106],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署",[38,109,110,111,116],{},"工作流节点类型（基于 ",[49,112,115],{"href":113,"rel":114},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[53],"火山引擎社区 2025 实战","）：",[93,118,119,125,131,137,143,149,155,161],{},[96,120,121,124],{},[41,122,123],{},"开始 \u002F 结束节点","：输入输出",[96,126,127,130],{},[41,128,129],{},"大模型节点","：调豆包 \u002F GPT \u002F Claude 任一模型",[96,132,133,136],{},[41,134,135],{},"代码节点","：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[96,138,139,142],{},[41,140,141],{},"循环节点","：批量处理多条数据",[96,144,145,148],{},[41,146,147],{},"条件节点","：分支判断",[96,150,151,154],{},[41,152,153],{},"插件节点","：调 Coze 插件市场的工具",[96,156,157,160],{},[41,158,159],{},"知识库节点","：RAG 检索",[96,162,163,166],{},[41,164,165],{},"HTTP 节点","：调外部 API",[38,168,169,170,175],{},"典型用例（参考 ",[49,171,174],{"href":172,"rel":173},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[53],"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。",[85,177,179],{"id":178},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[38,181,182],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[93,184,185,191,197,203,209],{},[96,186,187,190],{},[41,188,189],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[96,192,193,196],{},[41,194,195],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[96,198,199,202],{},[41,200,201],{},"联网搜索","：实时网页检索",[96,204,205,208],{},[41,206,207],{},"代码执行","：在线运行 Python",[96,210,211,214],{},[41,212,213],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[38,216,217,222],{},[49,218,221],{"href":219,"rel":220},"https:\u002F\u002Fkouziai.github.io\u002F",[53],"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。",[85,224,226],{"id":225},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[38,228,229],{},"发布渠道：",[93,231,232,235,238,241,244,247],{},[96,233,234],{},"飞书机器人（一键绑）",[96,236,237],{},"抖音 \u002F 头条号",[96,239,240],{},"微信小程序 \u002F 公众号（部分需企业认证）",[96,242,243],{},"自定义网页嵌入",[96,245,246],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[96,248,249],{},"Discord（国际版）",[85,251,253],{"id":252},"国内版-vs-国际版","国内版 vs 国际版",[255,256,257,273],"table",{},[258,259,260],"thead",{},[261,262,263,267,270],"tr",{},[264,265,266],"th",{},"维度",[264,268,269],{},"扣子（coze.cn）",[264,271,272],{},"Coze（coze.com）",[274,275,276,288,299,309,320,331],"tbody",{},[261,277,278,282,285],{},[279,280,281],"td",{},"主力模型",[279,283,284],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[279,286,287],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[261,289,290,293,296],{},[279,291,292],{},"飞书 \u002F 抖音 \u002F 微信集成",[279,294,295],{},"✅ 原生",[279,297,298],{},"❌",[261,300,301,304,307],{},[279,302,303],{},"Discord \u002F Slack 集成",[279,305,306],{},"⚠️ 有限",[279,308,295],{},[261,310,311,314,317],{},[279,312,313],{},"数据存储位置",[279,315,316],{},"国内",[279,318,319],{},"海外",[261,321,322,325,328],{},[279,323,324],{},"支付",[279,326,327],{},"微信 \u002F 支付宝",[279,329,330],{},"海外信用卡",[261,332,333,336,339],{},[279,334,335],{},"内容合规",[279,337,338],{},"严格审核",[279,340,341],{},"宽松",[38,343,344,347,348,351],{},[41,345,346],{},"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 ",[41,349,350],{},"不互通","。",[26,353,354],{"id":354},"价格与运行成本",[38,356,357],{},"国内版（扣子）：",[93,359,360,366,372],{},[96,361,362,365],{},[41,363,364],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[96,367,368,371],{},[41,369,370],{},"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",[96,373,374,377],{},[41,375,376],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[38,379,380,381,386],{},"国际版（coze.com）的定价模式据 ",[49,382,385],{"href":383,"rel":384},"https:\u002F\u002Fdocs.coze.com\u002F",[53],"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。",[26,388,390],{"id":389},"上手-10-分钟","上手 10 分钟",[392,393,394,407,410,413,416,419,422,425],"ol",{},[96,395,396,397,401,402,406],{},"打开 ",[49,398,400],{"href":51,"rel":399},[53],"www.coze.cn","（国内）或 ",[49,403,405],{"href":58,"rel":404},[53],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[96,408,409],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[96,411,412],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[96,414,415],{},"写 Bot 角色 prompt",[96,417,418],{},"可选：上传 PDF \u002F 文档建知识库",[96,420,421],{},"测试一下对话效果",[96,423,424],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[96,426,427],{},"拿到调用 URL \u002F 飞书机器人 webhook",[38,429,430],{},"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。",[26,432,433],{"id":433},"与同类怎么选",[255,435,436,462],{},[258,437,438],{},[261,439,440,442,444,450,456],{},[264,441,266],{},[264,443,10],{},[264,445,446],{},[49,447,449],{"href":448},"\u002Fagent\u002Fplatform\u002Fdify.html","Dify",[264,451,452],{},[49,453,455],{"href":454},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT",[264,457,458],{},[49,459,461],{"href":460},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[274,463,464,478,493,509,525,538,552,566],{},[261,465,466,469,471,474,476],{},[279,467,468],{},"开源",[279,470,298],{},[279,472,473],{},"✅",[279,475,473],{},[279,477,298],{},[261,479,480,483,486,488,490],{},[279,481,482],{},"私有部署",[279,484,485],{},"⚠️ 仅企业版",[279,487,473],{},[279,489,473],{},[279,491,492],{},"⚠️",[261,494,495,498,501,504,506],{},[279,496,497],{},"上手难度",[279,499,500],{},"★ 最简单",[279,502,503],{},"★★★",[279,505,503],{},[279,507,508],{},"★★",[261,510,511,514,517,520,523],{},[279,512,513],{},"工作流编排",[279,515,516],{},"★★★★☆",[279,518,519],{},"★★★★★",[279,521,522],{},"★★★☆☆",[279,524,522],{},[261,526,527,530,532,534,536],{},[279,528,529],{},"RAG 精度",[279,531,522],{},[279,533,516],{},[279,535,519],{},[279,537,522],{},[261,539,540,543,545,547,549],{},[279,541,542],{},"字节生态",[279,544,519],{},[279,546,298],{},[279,548,298],{},[279,550,551],{},"❌（腾讯系）",[261,553,554,557,560,562,564],{},[279,555,556],{},"插件市场",[279,558,559],{},"★★★★★ 200+",[279,561,522],{},[279,563,522],{},[279,565,522],{},[261,567,568,571,573,575,577],{},[279,569,570],{},"中文社区",[279,572,519],{},[279,574,516],{},[279,576,516],{},[279,578,516],{},[38,580,581,584,585,590,591,116],{},[41,582,583],{},"怎么选","（综合 ",[49,586,589],{"href":587,"rel":588},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[53],"BestHub 2025-07"," 和 ",[49,592,594],{"href":71,"rel":593},[53],"博客园 2026-01",[93,596,597,603,611,618],{},[96,598,599,602],{},[41,600,601],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[96,604,605,608,609],{},[41,606,607],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队"," → ",[49,610,449],{"href":448},[96,612,613,608,616],{},[41,614,615],{},"核心场景就是企业知识库 QA",[49,617,455],{"href":454},[96,619,620,608,623],{},[41,621,622],{},"QQ \u002F 微信生态 + 腾讯系",[49,624,625],{"href":460},"元器",[26,627,628],{"id":628},"避坑清单",[93,630,631,641,647,663,673,679,691,697],{},[96,632,633,636,637,640],{},[41,634,635],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[41,638,639],{},"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",[96,642,643,646],{},[41,644,645],{},"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",[96,648,649,652,653,657,658,662],{},[41,650,651],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[654,655,656],"code",{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[49,659,661],{"href":113,"rel":660},[53],"火山引擎 2025 教程","）",[96,664,665,668,669,672],{},[41,666,667],{},"工作流读取飞书表格默认 20 条","：要改 ",[654,670,671],{},"page_size","，最大 500 条；超过 500 要分页或循环",[96,674,675,678],{},[41,676,677],{},"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",[96,680,681,684,685,687,688,690],{},[41,682,683],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[49,686,449],{"href":448}," \u002F ",[49,689,455],{"href":454}," 自托管",[96,692,693,696],{},[41,694,695],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[96,698,699,702],{},[41,700,701],{},"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",[26,704,706],{"id":705},"适合-不适合","适合 \u002F 不适合",[38,708,709],{},"✅ 适合：",[93,711,712,715,718,721,724],{},[96,713,714],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[96,716,717],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[96,719,720],{},"个人副业（小红书账号批量内容生成等）",[96,722,723],{},"中小企业客服 Bot（3 天上线）",[96,725,726],{},"想用豆包 \u002F DeepSeek 国产模型的人",[38,728,729],{},"❌ 不适合：",[93,731,732,735,738,743,750],{},[96,733,734],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[96,736,737],{},"复杂业务系统深度集成（自由度不够）",[96,739,740,741,662],{},"反感字节生态（去 ",[49,742,449],{"href":448},[96,744,745,746,687,748,662],{},"希望开源 \u002F 完全自主可控（去 ",[49,747,449],{"href":448},[49,749,455],{"href":454},[96,751,752,753,687,755,759],{},"海外 toB SaaS 产品后端（",[49,754,449],{"href":448},[49,756,758],{"href":757},"\u002Fagent\u002Fplatform\u002Flangflow.html","Langflow"," 更合适）",[26,761,762],{"id":762},"相关阅读",[93,764,765,780,798,817],{},[96,766,767,768,687,770,687,772,687,774,687,776],{},"同类对比：",[49,769,449],{"href":448},[49,771,455],{"href":454},[49,773,625],{"href":460},[49,775,758],{"href":757},[49,777,779],{"href":778},"\u002Fagent\u002Fplatform\u002Fn8n.html","n8n",[96,781,782,783,687,787,687,791,687,795],{},"概念：",[49,784,786],{"href":785},"\u002Fwiki\u002Fai-agent.html","AI Agent",[49,788,790],{"href":789},"\u002Fwiki\u002Frag.html","RAG",[49,792,794],{"href":793},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[49,796,797],{"href":785},"Multi-Agent",[96,799,800,801,687,805,687,809,687,813],{},"模型：",[49,802,804],{"href":803},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[49,806,808],{"href":807},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[49,810,812],{"href":811},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[49,814,816],{"href":815},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[96,818,819,820,687,824],{},"进阶：",[49,821,823],{"href":822},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[49,825,827],{"href":826},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[26,829,830],{"id":830},"来源",[93,832,833,839,845,852,855],{},[96,834,835,836],{},"国内版：",[49,837,51],{"href":51,"rel":838},[53],[96,840,841,842],{},"国际版：",[49,843,58],{"href":58,"rel":844},[53],[96,846,847,848],{},"官方文档：",[49,849,850],{"href":850,"rel":851},"https:\u002F\u002Fdocs.coze.com",[53],[96,853,854],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[96,856,857],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[38,859,860,861,865],{},"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 ",[49,862,864],{"href":863},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",{"title":867,"searchDepth":868,"depth":868,"links":869},"",3,[870,872,878,879,880,881,882,883,884],{"id":28,"depth":871,"text":29},2,{"id":83,"depth":871,"text":83,"children":873},[874,875,876,877],{"id":87,"depth":868,"text":88},{"id":178,"depth":868,"text":179},{"id":225,"depth":868,"text":226},{"id":252,"depth":868,"text":253},{"id":354,"depth":871,"text":354},{"id":389,"depth":871,"text":390},{"id":433,"depth":871,"text":433},{"id":628,"depth":871,"text":628},{"id":705,"depth":871,"text":706},{"id":762,"depth":871,"text":762},{"id":830,"depth":871,"text":830},"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。",true,"md",null,[893,894],"zh","en","2026-08-02",{},[898,899,900,901,902],"doubao-pro","deepseek-v3","qwen-max","gpt-4o (国际版)","claude (国际版)",[904,905,906],"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",false,"\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze","agent",[911],"web",[913,919,924,928],{"plan":914,"price":915,"limit":916,"cn_pay":917,"note":918},"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":370,"price":920,"limit":921,"cn_pay":922,"note":923},"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":376,"price":925,"limit":926,"cn_pay":473,"note":927},"议价","VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":929,"price":930,"cn_pay":931,"note":932,"limit":917},"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",[936,937,938,939],"coze-deep-review","coze-vs-dify","dify-deep-review","fastgpt-deep-review",{"power":941,"ux":886,"price":941,"cn_support":886,"stability":941},4,{"title":10,"description":888},"Coze 扣子评测 2026：字节 AI Agent 平台，对比 Dify","agent\u002Fplatform\u002Fcoze",[946,948,950,952,954],{"title":947,"url":51},"Coze 国内版（扣子）",{"title":949,"url":58},"Coze 国际版",{"title":951,"url":850},"Coze 官方文档",{"title":953,"url":71},"Coze vs Dify vs FastGPT 选型 2026",{"title":955,"url":587},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[958,959,960,961,962],"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",[965,966,967,968,969,970],"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。","FZEpZL7kS1YIIYCXTqqZ8C0eWBWLu82UpKE4B1geW7M",[975,2032,3110],{"id":976,"title":449,"alternatives":977,"api_compatible":980,"body":982,"category":885,"chinese_friendly":941,"cover":1978,"description":1979,"domestic":889,"extension":890,"faq":891,"free":889,"github":1266,"languages":1980,"lastVerified":895,"meta":1982,"models":891,"navigation":889,"notSuitable":891,"opensource":889,"path":1983,"pillar":909,"platforms":1984,"priceTable":1988,"pricing":2005,"published":934,"relatedPlaybooks":891,"relatedReviews":2006,"score":2007,"self_host":889,"seo":2008,"seoTitle":2009,"slug":12,"sources":2010,"stem":2022,"suitable":891,"tagline":2023,"tags":2024,"updated":971,"verdict":2030,"website":1923,"__hash__":2031},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fdify.md",[944,13,978,979],"agent\u002Fplatform\u002Fn8n","agent\u002Fplatform\u002Flangflow",[16,17,18,19,20,981],"DeepSeek",{"type":23,"value":983,"toc":1956},[984,986,1004,1009,1011,1015,1018,1087,1090,1094,1097,1111,1127,1131,1134,1145,1149,1157,1168,1172,1175,1177,1181,1190,1251,1258,1262,1270,1334,1337,1357,1361,1364,1424,1430,1432,1526,1529,1558,1560,1688,1700,1735,1737,1810,1812,1814,1834,1836,1865,1867,1914,1916,1947,1952],[26,985,29],{"id":28},[31,987,989,994],{"className":988},[34,35,36],[38,990,991,993],{},[41,992,43],{}," 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。",[38,995,64,996,999,1000,1003],{},[41,997,998],{},"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 ",[49,1001,10],{"href":1002},"\u002Fagent\u002Fplatform\u002Fcoze.html"," 折腾，新手得读 1-2 小时文档。",[76,1005,1006],{},[38,1007,1008],{},"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。",[26,1010,83],{"id":83},[85,1012,1014],{"id":1013},"可视化工作流chatflow-workflow","可视化工作流（Chatflow + Workflow）",[38,1016,1017],{},"Dify 把 LLM 应用拆成两种\"应用类型\"：",[255,1019,1020,1033],{},[258,1021,1022],{},[261,1023,1024,1027,1030],{},[264,1025,1026],{},"类型",[264,1028,1029],{},"适合场景",[264,1031,1032],{},"编排范式",[274,1034,1035,1048,1061,1074],{},[261,1036,1037,1042,1045],{},[279,1038,1039],{},[41,1040,1041],{},"Chatbot",[279,1043,1044],{},"简单对话机器人",[279,1046,1047],{},"prompt + tools",[261,1049,1050,1055,1058],{},[279,1051,1052],{},[41,1053,1054],{},"Agent",[279,1056,1057],{},"自主多步任务",[279,1059,1060],{},"ReAct \u002F Function Calling",[261,1062,1063,1068,1071],{},[279,1064,1065],{},[41,1066,1067],{},"Chatflow",[279,1069,1070],{},"对话型工作流（多轮 + 分支）",[279,1072,1073],{},"节点 DAG，带聊天上下文",[261,1075,1076,1081,1084],{},[279,1077,1078],{},[41,1079,1080],{},"Workflow",[279,1082,1083],{},"单次输入→输出（API 模式）",[279,1085,1086],{},"节点 DAG，无对话状态",[38,1088,1089],{},"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\"。",[85,1091,1093],{"id":1092},"rag-知识库","RAG 知识库",[38,1095,1096],{},"内置完整 RAG 链路：",[392,1098,1099,1102,1105,1108],{},[96,1100,1101],{},"上传文档（PDF \u002F Word \u002F Markdown \u002F 网页）",[96,1103,1104],{},"自动分块 + embedding（可配置分段策略和 embedding 模型）",[96,1106,1107],{},"混合检索（向量 + 全文 + 重排）",[96,1109,1110],{},"引用溯源（回答末尾自动附原文片段）",[38,1112,1113,1114,1119,1120,1123,1124,1126],{},"注意：根据 ",[49,1115,1118],{"href":1116,"rel":1117},"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F1887141987838309480",[53],"知乎 LLM 实战笔记 2025-03 对比"," 的实测，Dify ",[41,1121,1122],{},"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 ",[49,1125,455],{"href":454},"（实测准确率高 10+ 个百分点），Dify 胜在工作流而非纯 RAG。",[85,1128,1130],{"id":1129},"模型生态40-提供商","模型生态：40+ 提供商",[38,1132,1133],{},"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。",[38,1135,1136,1137,1139,1140,1144],{},"国产模型原生支持（不像 ",[49,1138,455],{"href":454}," 需要 ",[49,1141,1143],{"href":1142},"\u002Fcoding\u002Fapi\u002Fone-api.html","OneAPI"," 中转），是 Dify 在国内 toB 场景流行的关键。",[85,1146,1148],{"id":1147},"mcp-协议支持","MCP 协议支持",[38,1150,1151,1152,1156],{},"Dify 较早接入了 ",[49,1153,1155],{"href":1154},"\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：",[93,1158,1159,1162,1165],{},[96,1160,1161],{},"通过 MCP 调本地 PostgreSQL \u002F SQLite",[96,1163,1164],{},"通过 MCP 调 GitHub \u002F Slack \u002F Linear",[96,1166,1167],{},"通过 MCP 调自家内部系统（写一个 MCP Server 即可）",[85,1169,1171],{"id":1170},"api-first","API-first",[38,1173,1174],{},"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。",[26,1176,354],{"id":354},[85,1178,1180],{"id":1179},"云版difyai","云版（dify.ai）",[38,1182,1183,1184,1189],{},"根据 ",[49,1185,1188],{"href":1186,"rel":1187},"https:\u002F\u002Fwww.tooljunction.io\u002Fai-tools\u002Fdify-ai",[53],"tooljunction.io 2026 评测"," 引用的官方定价：",[255,1191,1192,1205],{},[258,1193,1194],{},[261,1195,1196,1199,1202],{},[264,1197,1198],{},"套餐",[264,1200,1201],{},"价格",[264,1203,1204],{},"主要限制",[274,1206,1207,1218,1229,1240],{},[261,1208,1209,1212,1215],{},[279,1210,1211],{},"Sandbox",[279,1213,1214],{},"免费",[279,1216,1217],{},"200 次模型调用，1 app，5MB 知识库",[261,1219,1220,1223,1226],{},[279,1221,1222],{},"Professional",[279,1224,1225],{},"$59\u002F月起",[279,1227,1228],{},"5000 调用\u002F月，多 app，50MB 知识库",[261,1230,1231,1234,1237],{},[279,1232,1233],{},"Team",[279,1235,1236],{},"$159\u002F月起",[279,1238,1239],{},"团队协作、SSO",[261,1241,1242,1245,1248],{},[279,1243,1244],{},"Enterprise",[279,1246,1247],{},"联系销售",[279,1249,1250],{},"定制 SLA、私有云",[38,1252,1253,1254,1257],{},"注意：云版价格只是 Dify 平台费，",[41,1255,1256],{},"模型 API 费用另算","（自带 OpenAI \u002F Anthropic key）。",[85,1259,1261],{"id":1260},"自托管推荐","自托管（推荐）",[38,1263,1264,1269],{},[49,1265,1268],{"href":1266,"rel":1267},"https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify",[53],"官方 GitHub 仓库"," 提供 Docker Compose 部署，社区版完全免费可商用：",[1271,1272,1276],"pre",{"className":1273,"code":1274,"language":1275,"meta":867,"style":867},"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",[654,1277,1278,1294,1303,1314,1328],{"__ignoreMap":867},[1279,1280,1283,1287,1291],"span",{"class":1281,"line":1282},"line",1,[1279,1284,1286],{"class":1285},"sScJk","git",[1279,1288,1290],{"class":1289},"sZZnC"," clone",[1279,1292,1293],{"class":1289}," https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\n",[1279,1295,1296,1300],{"class":1281,"line":871},[1279,1297,1299],{"class":1298},"sj4cs","cd",[1279,1301,1302],{"class":1289}," dify\u002Fdocker\n",[1279,1304,1305,1308,1311],{"class":1281,"line":868},[1279,1306,1307],{"class":1285},"cp",[1279,1309,1310],{"class":1289}," .env.example",[1279,1312,1313],{"class":1289}," .env\n",[1279,1315,1316,1319,1322,1325],{"class":1281,"line":941},[1279,1317,1318],{"class":1285},"docker",[1279,1320,1321],{"class":1289}," compose",[1279,1323,1324],{"class":1289}," up",[1279,1326,1327],{"class":1298}," -d\n",[1279,1329,1330],{"class":1281,"line":886},[1279,1331,1333],{"class":1332},"sJ8bj","# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[38,1335,1336],{},"硬件门槛（社区共识，非官方硬性要求）：",[93,1338,1339,1345,1351],{},[96,1340,1341,1344],{},[41,1342,1343],{},"最低","：2 核 4G，纯外接 API 模式",[96,1346,1347,1350],{},[41,1348,1349],{},"推荐","：4 核 8G + 至少 30GB 磁盘（向量数据 + 文件存储）",[96,1352,1353,1356],{},[41,1354,1355],{},"企业","：8 核 16G+，单机日活上千",[85,1358,1360],{"id":1359},"真实-tco","真实 TCO",[38,1362,1363],{},"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）：",[255,1365,1366,1379],{},[258,1367,1368],{},[261,1369,1370,1373,1376],{},[264,1371,1372],{},"成本项",[264,1374,1375],{},"云版 Professional",[264,1377,1378],{},"自托管",[274,1380,1381,1392,1402,1413],{},[261,1382,1383,1386,1389],{},[279,1384,1385],{},"平台费",[279,1387,1388],{},"~$2,100（3 年）",[279,1390,1391],{},"$0",[261,1393,1394,1397,1399],{},[279,1395,1396],{},"服务器",[279,1398,1391],{},[279,1400,1401],{},"~$50\u002F月 × 36 = $1,800",[261,1403,1404,1407,1410],{},[279,1405,1406],{},"模型 API",[279,1408,1409],{},"与下同",[279,1411,1412],{},"与上同",[261,1414,1415,1418,1421],{},[279,1416,1417],{},"运维人力",[279,1419,1420],{},"0",[279,1422,1423],{},"约 0.2 人月",[38,1425,1426,1429],{},[41,1427,1428],{},"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。",[26,1431,390],{"id":389},[1271,1433,1435],{"className":1273,"code":1434,"language":1275,"meta":867,"style":867},"# 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",[654,1436,1437,1442,1450,1456,1464,1474,1480,1486,1492,1497,1503,1508,1514,1520],{"__ignoreMap":867},[1279,1438,1439],{"class":1281,"line":1282},[1279,1440,1441],{"class":1332},"# 1. 自托管（社区版）\n",[1279,1443,1444,1446,1448],{"class":1281,"line":871},[1279,1445,1286],{"class":1285},[1279,1447,1290],{"class":1289},[1279,1449,1293],{"class":1289},[1279,1451,1452,1454],{"class":1281,"line":868},[1279,1453,1299],{"class":1298},[1279,1455,1302],{"class":1289},[1279,1457,1458,1460,1462],{"class":1281,"line":941},[1279,1459,1307],{"class":1285},[1279,1461,1310],{"class":1289},[1279,1463,1313],{"class":1289},[1279,1465,1466,1468,1470,1472],{"class":1281,"line":886},[1279,1467,1318],{"class":1285},[1279,1469,1321],{"class":1289},[1279,1471,1324],{"class":1289},[1279,1473,1327],{"class":1298},[1279,1475,1477],{"class":1281,"line":1476},6,[1279,1478,1479],{"emptyLinePlaceholder":889},"\n",[1279,1481,1483],{"class":1281,"line":1482},7,[1279,1484,1485],{"class":1332},"# 2. 浏览器打开 http:\u002F\u002Flocalhost\n",[1279,1487,1489],{"class":1281,"line":1488},8,[1279,1490,1491],{"class":1332},"#    首次会让你创建 admin 账号\n",[1279,1493,1495],{"class":1281,"line":1494},9,[1279,1496,1479],{"emptyLinePlaceholder":889},[1279,1498,1500],{"class":1281,"line":1499},10,[1279,1501,1502],{"class":1332},"# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n",[1279,1504,1506],{"class":1281,"line":1505},11,[1279,1507,1479],{"emptyLinePlaceholder":889},[1279,1509,1511],{"class":1281,"line":1510},12,[1279,1512,1513],{"class":1332},"# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n",[1279,1515,1517],{"class":1281,"line":1516},13,[1279,1518,1519],{"class":1332},"# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n",[1279,1521,1523],{"class":1281,"line":1522},14,[1279,1524,1525],{"class":1332},"# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[26,1527,1528],{"id":1528},"国内使用注意事项",[392,1530,1531,1537,1543,1549],{},[96,1532,1533,1536],{},[41,1534,1535],{},"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",[96,1538,1539,1542],{},[41,1540,1541],{},"自托管 + 国产模型"," = 完全国内闭环，是 Dify 在国内最大优势",[96,1544,1545,1548],{},[41,1546,1547],{},"Docker 镜像拉取","：国内可能慢，建议配 Docker registry 镜像（阿里云 \u002F 网易）",[96,1550,1551,1554,1555,1557],{},[41,1552,1553],{},"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 ",[49,1556,10],{"href":1002}," 迁到 Dify",[26,1559,433],{"id":433},[255,1561,1562,1582],{},[258,1563,1564],{},[261,1565,1566,1568,1570,1574,1578],{},[264,1567,266],{},[264,1569,449],{},[264,1571,1572],{},[49,1573,10],{"href":1002},[264,1575,1576],{},[49,1577,455],{"href":454},[264,1579,1580],{},[49,1581,779],{"href":778},[274,1583,1584,1597,1609,1622,1634,1647,1661,1674],{},[261,1585,1586,1588,1590,1592,1594],{},[279,1587,468],{},[279,1589,473],{},[279,1591,298],{},[279,1593,473],{},[279,1595,1596],{},"✅（fair-code）",[261,1598,1599,1601,1603,1605,1607],{},[279,1600,482],{},[279,1602,473],{},[279,1604,298],{},[279,1606,473],{},[279,1608,473],{},[261,1610,1611,1613,1615,1618,1620],{},[279,1612,497],{},[279,1614,522],{},[279,1616,1617],{},"★★☆☆☆ 最简单",[279,1619,522],{},[279,1621,516],{},[261,1623,1624,1626,1628,1630,1632],{},[279,1625,513],{},[279,1627,519],{},[279,1629,516],{},[279,1631,522],{},[279,1633,519],{},[261,1635,1636,1638,1640,1642,1644],{},[279,1637,529],{},[279,1639,516],{},[279,1641,522],{},[279,1643,519],{},[279,1645,1646],{},"★★☆☆☆",[261,1648,1649,1652,1654,1656,1659],{},[279,1650,1651],{},"模型生态",[279,1653,519],{},[279,1655,516],{},[279,1657,1658],{},"★★★☆☆（OneAPI 中转）",[279,1660,516],{},[261,1662,1663,1666,1668,1670,1672],{},[279,1664,1665],{},"中文场景",[279,1667,516],{},[279,1669,519],{},[279,1671,516],{},[279,1673,522],{},[261,1675,1676,1679,1681,1684,1686],{},[279,1677,1678],{},"字节生态绑定",[279,1680,298],{},[279,1682,1683],{},"✅（飞书\u002F抖音深度集成）",[279,1685,298],{},[279,1687,298],{},[38,1689,1690,1692,1693,590,1696,1699],{},[41,1691,583],{},"（基于 ",[49,1694,589],{"href":587,"rel":1695},[53],[49,1697,594],{"href":71,"rel":1698},[53]," 两份选型指南综合）：",[93,1701,1702,1708,1715,1721,1728],{},[96,1703,1704,1707],{},[41,1705,1706],{},"数据必须不出内网 + 工作流复杂"," → Dify",[96,1709,1710,608,1713],{},[41,1711,1712],{},"个人 \u002F 小团队 \u002F 快速原型 + 字节生态",[49,1714,10],{"href":1002},[96,1716,1717,608,1719],{},[41,1718,615],{},[49,1720,455],{"href":454},[96,1722,1723,608,1726],{},[41,1724,1725],{},"重点是连接外部 SaaS（Slack \u002F Notion \u002F 数据库）",[49,1727,779],{"href":778},[96,1729,1730,608,1733],{},[41,1731,1732],{},"要画图式表达 LangChain pipeline",[49,1734,758],{"href":757},[26,1736,628],{"id":628},[93,1738,1739,1745,1762,1773,1786,1792,1798,1804],{},[96,1740,1741,1744],{},[41,1742,1743],{},"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。",[96,1746,1747,1753,1754,1757,1758,1761],{},[41,1748,1749,1752],{},[654,1750,1751],{},".env"," 文件改完忘 restart","：",[654,1755,1756],{},"docker compose down && up -d","，不是 ",[654,1759,1760],{},"restart","——后者不重新加载 env。",[96,1763,1764,1753,1767,1772],{},[41,1765,1766],{},"大版本升级会破坏数据库 schema",[49,1768,1771],{"href":1769,"rel":1770},"https:\u002F\u002Fdocs.dify.ai\u002Fzh-hans",[53],"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。",[96,1774,1775,1778,1779,1781,1782,1785],{},[41,1776,1777],{},"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 ",[654,1780,1751],{}," 的 ",[654,1783,1784],{},"UPLOAD_FILE_SIZE_LIMIT"," 并重启容器。",[96,1787,1788,1791],{},[41,1789,1790],{},"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。",[96,1793,1794,1797],{},[41,1795,1796],{},"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。",[96,1799,1800,1803],{},[41,1801,1802],{},"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。",[96,1805,1806,1809],{},[41,1807,1808],{},"国内 Docker 拉取镜像慢","：先配国内 registry，否则首次 pull 可能要 30+ 分钟。",[26,1811,706],{"id":705},[38,1813,709],{},[93,1815,1816,1819,1822,1825,1828,1831],{},[96,1817,1818],{},"中大型企业 LLM 中台建设",[96,1820,1821],{},"需要私有化部署（金融 \u002F 医疗 \u002F 政府）",[96,1823,1824],{},"想做\"AI 工作流即产品\"的开发团队",[96,1826,1827],{},"同时需要 RAG + Agent + Workflow 三件套",[96,1829,1830],{},"想用国产模型 + 国际模型混合编排",[96,1832,1833],{},"已经接受 Docker + 一定运维投入",[38,1835,729],{},[93,1837,1838,1844,1850,1853,1859],{},[96,1839,1840,1841,1843],{},"纯个人玩家做对话机器人（",[49,1842,10],{"href":1002}," 更快）",[96,1845,1846,1847,1849],{},"只想做企业知识库 QA（",[49,1848,455],{"href":454}," RAG 更专）",[96,1851,1852],{},"团队完全没运维能力（云版还行，自托管会踩坑）",[96,1854,1855,1856,1858],{},"需要深度对接字节飞书 \u002F 抖音（",[49,1857,10],{"href":1002}," 原生）",[96,1860,1861,1862,1864],{},"工作流核心是连接 100+ SaaS（",[49,1863,779],{"href":778}," 节点更全）",[26,1866,762],{"id":762},[93,1868,1869,1879,1891,1906],{},[96,1870,767,1871,687,1873,687,1875,687,1877],{},[49,1872,10],{"href":1002},[49,1874,455],{"href":454},[49,1876,779],{"href":778},[49,1878,758],{"href":757},[96,1880,1881,1882,687,1884,687,1886,687,1889],{},"概念基础：",[49,1883,786],{"href":785},[49,1885,790],{"href":789},[49,1887,1888],{"href":1154},"MCP",[49,1890,794],{"href":793},[96,1892,1893,1894,687,1898,687,1902,687,1904],{},"模型选型：",[49,1895,1897],{"href":1896},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[49,1899,1901],{"href":1900},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[49,1903,808],{"href":807},[49,1905,816],{"href":815},[96,1907,819,1908,687,1912],{},[49,1909,1911],{"href":1910},"\u002Fwiki\u002Ffine-tuning-vs-rag.html","Fine-tuning vs RAG",[49,1913,827],{"href":826},[26,1915,830],{"id":830},[93,1917,1918,1925,1931,1937,1944],{},[96,1919,1920,1921],{},"官网：",[49,1922,1923],{"href":1923,"rel":1924},"https:\u002F\u002Fdify.ai",[53],[96,1926,1927,1928],{},"中文文档：",[49,1929,1769],{"href":1769,"rel":1930},[53],[96,1932,1933,1934],{},"GitHub：",[49,1935,1266],{"href":1266,"rel":1936},[53],[96,1938,1939,1940],{},"官方定价：",[49,1941,1942],{"href":1942,"rel":1943},"https:\u002F\u002Fdify.ai\u002Fpricing",[53],[96,1945,1946],{},"第三方评测：tooljunction.io \u002F chatforest.com \u002F besthub.dev \u002F joshuaopolko.com \u002F 知乎 LLM 实战笔记",[38,1948,1949,1950,865],{},"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 ",[49,1951,864],{"href":863},[1953,1954,1955],"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":867,"searchDepth":868,"depth":868,"links":1957},[1958,1959,1966,1971,1972,1973,1974,1975,1976,1977],{"id":28,"depth":871,"text":29},{"id":83,"depth":871,"text":83,"children":1960},[1961,1962,1963,1964,1965],{"id":1013,"depth":868,"text":1014},{"id":1092,"depth":868,"text":1093},{"id":1129,"depth":868,"text":1130},{"id":1147,"depth":868,"text":1148},{"id":1170,"depth":868,"text":1171},{"id":354,"depth":871,"text":354,"children":1967},[1968,1969,1970],{"id":1179,"depth":868,"text":1180},{"id":1260,"depth":868,"text":1261},{"id":1359,"depth":868,"text":1360},{"id":389,"depth":871,"text":390},{"id":1528,"depth":871,"text":1528},{"id":433,"depth":871,"text":433},{"id":628,"depth":871,"text":628},{"id":705,"depth":871,"text":706},{"id":762,"depth":871,"text":762},{"id":830,"depth":871,"text":830},"\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。",[893,894,1981],"ja",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fdify",[1985,1986,1987,1318],"windows","macos","linux",[1989,1993,1997,2001],{"plan":1990,"price":1391,"features":1991,"notes":1992},"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":1994,"price":1391,"features":1995,"notes":1996},"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":1998,"price":1225,"features":1999,"notes":2000},"Cloud Professional","更高调用额度 + 团队协作 + 商用支持","商用云首选",{"plan":2002,"price":2003,"features":2004,"notes":1247},"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",[936,937,938,939],{"power":886,"ux":941,"price":886,"cn_support":941,"stability":941},{"title":449,"description":1979},"Dify 评测 2026：开源 LLMOps 与 AI Agent 平台，自托管指南",[2011,2013,2015,2017,2019],{"title":2012,"url":1769},"Dify 官方文档（中文）",{"title":2014,"url":1266},"Dify GitHub",{"title":2016,"url":1942},"Dify 官方定价",{"title":2018,"url":587},"Coze vs Dify vs FastGPT 选型",{"title":2020,"url":2021},"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",[965,2025,2026,2027,967,2028,2029],"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。","q61l3oA5zdTKrp-66KGGh7wde1ZGUvjMulHa4GKaOXE",{"id":2033,"title":455,"alternatives":2034,"api_compatible":2035,"body":2037,"category":885,"chinese_friendly":886,"cover":3042,"description":3043,"domestic":889,"extension":890,"faq":891,"free":889,"github":3005,"languages":3044,"lastVerified":895,"meta":3045,"models":3046,"navigation":889,"notSuitable":3050,"opensource":889,"path":3054,"pillar":909,"platforms":3055,"priceTable":3056,"pricing":3078,"published":934,"relatedPlaybooks":3079,"relatedReviews":3081,"score":3082,"self_host":889,"seo":3083,"seoTitle":3084,"slug":13,"sources":3085,"stem":3096,"suitable":3097,"tagline":3103,"tags":3104,"updated":971,"verdict":3108,"website":2999,"__hash__":3109},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt.md",[12,944,979,978],[2036],"openai",{"type":23,"value":2038,"toc":3024},[2039,2041,2070,2081,2083,2087,2090,2104,2107,2133,2137,2144,2176,2183,2187,2240,2247,2250,2253,2256,2263,2309,2315,2319,2350,2354,2460,2463,2466,2470,2478,2600,2615,2617,2774,2782,2816,2822,2824,2898,2900,2902,2922,2924,2942,2944,2991,2993,3016,3021],[26,2040,29],{"id":28},[31,2042,2044,2059],{"className":2043},[34,35,36],[38,2045,2046,2048,2049,2054,2055,2058],{},[41,2047,43],{}," labring 团队开源的 LLM 知识库 RAG 平台，27k+ GitHub star（截至 2026-03 数据，",[49,2050,2053],{"href":2051,"rel":2052},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2632669",[53],"腾讯云 2026-03 教程"," 引用），Apache 2.0 许可证可商用。",[41,2056,2057],{},"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。",[38,2060,2061,2062,2065,2066,2069],{},"最大价值在 ",[41,2063,2064],{},"国内企业知识库 + 私有部署"," 场景。代价是 ",[41,2067,2068],{},"配置门槛","：docker 基础 + 网络知识 + 一定运维能力。",[76,2071,2072],{},[38,2073,2074,2075,2080],{},"来源说明：本文基于 fastgpt.io 官方页面、github.com\u002Flabring\u002FFastGPT 仓库、",[49,2076,2079],{"href":2077,"rel":2078},"https:\u002F\u002Fwww.nanhuantech.com\u002Fzh\u002Fai-reviews\u002Ffastgpt-2025-review",[53],"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。",[26,2082,83],{"id":83},[85,2084,2086],{"id":2085},"知识库管理核心能力","知识库管理（核心能力）",[38,2088,2089],{},"支持文件类型：",[93,2091,2092,2095,2098,2101],{},[96,2093,2094],{},"文档：PDF \u002F Word \u002F Markdown \u002F TXT \u002F HTML",[96,2096,2097],{},"表格：Excel \u002F CSV",[96,2099,2100],{},"网页：URL 抓取 + 定时同步",[96,2102,2103],{},"API：通过接口推送内容",[38,2105,2106],{},"处理流程：上传 → 文本切分 → 向量化 → 存储 → 可用于问答。支持：",[93,2108,2109,2115,2121,2127],{},[96,2110,2111,2114],{},[41,2112,2113],{},"文件夹分组","：不同主题 \u002F 部门分类",[96,2116,2117,2120],{},[41,2118,2119],{},"多种分块策略","：默认按段落 \u002F 按 token 数 \u002F 自定义",[96,2122,2123,2126],{},[41,2124,2125],{},"批量导入","：脚本化大批量同步",[96,2128,2129,2132],{},[41,2130,2131],{},"定时同步","：网页源自动更新",[85,2134,2136],{"id":2135},"rag-流程编排最强卖点","RAG 流程编排（最强卖点）",[38,2138,2139,2143],{},[49,2140,2142],{"href":2077,"rel":2141},[53],"南环 AI 2026 评测"," 总结的 FastGPT RAG 链路：",[392,2145,2146,2152,2158,2164,2170],{},[96,2147,2148,2151],{},[41,2149,2150],{},"问题预处理","：改写 \u002F 扩展 \u002F 错词纠正（提升召回率）",[96,2153,2154,2157],{},[41,2155,2156],{},"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",[96,2159,2160,2163],{},[41,2161,2162],{},"重排序（Rerank）","：对初步检索结果二次排序，提升相关性",[96,2165,2166,2169],{},[41,2167,2168],{},"上下文组装","：最优 chunk + 问题 → prompt",[96,2171,2172,2175],{},[41,2173,2174],{},"答案生成","：调大模型基于检索结果回答 + 引用标注",[38,2177,2178,2179,2182],{},"每一步都可视化调参，这是 FastGPT 比 Coze \u002F Dify 在 ",[41,2180,2181],{},"纯知识库 QA 精度","上更高的原因。",[85,2184,2186],{"id":2185},"多模型支持不绑定厂商","多模型支持（不绑定厂商）",[255,2188,2189,2199],{},[258,2190,2191],{},[261,2192,2193,2196],{},[264,2194,2195],{},"模型类别",[264,2197,2198],{},"支持",[274,2200,2201,2209,2216,2224,2232],{},[261,2202,2203,2206],{},[279,2204,2205],{},"国产闭源",[279,2207,2208],{},"豆包 \u002F 通义千问 \u002F 文心一言 \u002F 智谱 GLM \u002F Moonshot Kimi \u002F MiniMax",[261,2210,2211,2213],{},[279,2212,468],{},[279,2214,2215],{},"LLaMA \u002F Qwen \u002F ChatGLM \u002F DeepSeek 等可自部署",[261,2217,2218,2221],{},[279,2219,2220],{},"OpenAI 系",[279,2222,2223],{},"GPT-5 \u002F GPT-5 mini \u002F o3",[261,2225,2226,2229],{},[279,2227,2228],{},"Claude 系",[279,2230,2231],{},"Sonnet 4 \u002F Opus 4 \u002F Haiku",[261,2233,2234,2237],{},[279,2235,2236],{},"嵌入 \u002F 重排",[279,2238,2239],{},"BGE \u002F m3e \u002F OpenAI text-embedding-3",[38,2241,2242,2243,2246],{},"可以在 ",[41,2244,2245],{},"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。",[85,2248,2249],{"id":2249},"工作流与高级编排",[38,2251,2252],{},"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。",[85,2254,2255],{"id":2255},"多向量库选择",[38,2257,2258,2262],{},[49,2259,2261],{"href":2051,"rel":2260},[53],"腾讯云教程"," 公开的 4 种向量后端：",[255,2264,2265,2275],{},[258,2266,2267],{},[261,2268,2269,2272],{},[264,2270,2271],{},"后端",[264,2273,2274],{},"适用",[274,2276,2277,2285,2293,2301],{},[261,2278,2279,2282],{},[279,2280,2281],{},"PgVector",[279,2283,2284],{},"5000 万索引以下，新手 \u002F 小规模",[261,2286,2287,2290],{},[279,2288,2289],{},"Milvus",[279,2291,2292],{},"亿级以上，高性能",[261,2294,2295,2298],{},[279,2296,2297],{},"Zilliz Cloud",[279,2299,2300],{},"Milvus 全托管 SaaS",[261,2302,2303,2306],{},[279,2304,2305],{},"SeekDB \u002F OceanBase",[279,2307,2308],{},"企业级国产化",[38,2310,2311,2312,351],{},"部署时选对应 ",[654,2313,2314],{},"docker-compose.{pgvector|milvus|...}.yml",[85,2316,2318],{"id":2317},"api-与-mcp","API 与 MCP",[93,2320,2321,2327,2333,2344],{},[96,2322,2323,2326],{},[41,2324,2325],{},"对话 API","：流式 \u002F 非流式 HTTP，OpenAI 兼容",[96,2328,2329,2332],{},[41,2330,2331],{},"知识库检索 API","：单独调检索（不走生成）做 hybrid pipeline",[96,2334,2335,2338,2339,2343],{},[41,2336,2337],{},"MCP Server","：3005 端口暴露 MCP SSE 服务，可被 ",[49,2340,2342],{"href":2341},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code"," 等客户端直接接入",[96,2345,2346,2349],{},[41,2347,2348],{},"Webhook","：回调通知",[26,2351,2353],{"id":2352},"部署-10-分钟docker","部署 10 分钟（Docker）",[1271,2355,2357],{"className":1273,"code":2356,"language":1275,"meta":867,"style":867},"# 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",[654,2358,2359,2364,2373,2380,2384,2389,2402,2406,2411,2418,2426,2430,2435,2450,2454],{"__ignoreMap":867},[1279,2360,2361],{"class":1281,"line":1282},[1279,2362,2363],{"class":1332},"# 克隆代码\n",[1279,2365,2366,2368,2370],{"class":1281,"line":871},[1279,2367,1286],{"class":1285},[1279,2369,1290],{"class":1289},[1279,2371,2372],{"class":1289}," https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\n",[1279,2374,2375,2377],{"class":1281,"line":868},[1279,2376,1299],{"class":1298},[1279,2378,2379],{"class":1289}," FastGPT\n",[1279,2381,2382],{"class":1281,"line":941},[1279,2383,1479],{"emptyLinePlaceholder":889},[1279,2385,2386],{"class":1281,"line":886},[1279,2387,2388],{"class":1332},"# 切到最新稳定版（参考 GitHub releases）\n",[1279,2390,2391,2393,2396,2399],{"class":1281,"line":1476},[1279,2392,1286],{"class":1285},[1279,2394,2395],{"class":1289}," switch",[1279,2397,2398],{"class":1298}," -c",[1279,2400,2401],{"class":1298}," 4.14.7.2\n",[1279,2403,2404],{"class":1281,"line":1482},[1279,2405,1479],{"emptyLinePlaceholder":889},[1279,2407,2408],{"class":1281,"line":1488},[1279,2409,2410],{"class":1332},"# 选向量库版本（个人 \u002F 小规模选 pg）\n",[1279,2412,2413,2415],{"class":1281,"line":1494},[1279,2414,1299],{"class":1298},[1279,2416,2417],{"class":1289}," deploy\u002Fdocker\u002Fcn\n",[1279,2419,2420,2423],{"class":1281,"line":1499},[1279,2421,2422],{"class":1285},"wget",[1279,2424,2425],{"class":1289}," https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n",[1279,2427,2428],{"class":1281,"line":1505},[1279,2429,1479],{"emptyLinePlaceholder":889},[1279,2431,2432],{"class":1281,"line":1510},[1279,2433,2434],{"class":1332},"# 启动\n",[1279,2436,2437,2440,2443,2446,2448],{"class":1281,"line":1516},[1279,2438,2439],{"class":1285},"docker-compose",[1279,2441,2442],{"class":1298}," -f",[1279,2444,2445],{"class":1289}," docker-compose.pg.yml",[1279,2447,1324],{"class":1289},[1279,2449,1327],{"class":1298},[1279,2451,2452],{"class":1281,"line":1522},[1279,2453,1479],{"emptyLinePlaceholder":889},[1279,2455,2457],{"class":1281,"line":2456},15,[1279,2458,2459],{"class":1332},"# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[38,2461,2462],{},"最低配置：2C4G + 20GB 硬盘 + Docker 28+ + Docker Compose 2.20+。",[38,2464,2465],{},"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。",[26,2467,2469],{"id":2468},"云版-vs-自托管对比","云版 vs 自托管对比",[38,2471,2472,2477],{},[49,2473,2476],{"href":2474,"rel":2475},"https:\u002F\u002Ffastgpt.io\u002Fzh\u002Fprice",[53],"fastgpt.io 官方定价"," 公开数据：",[255,2479,2480,2505],{},[258,2481,2482],{},[261,2483,2484,2486,2488,2491,2494,2497,2499,2502],{},[264,2485,1198],{},[264,2487,1201],{},[264,2489,2490],{},"AI 积分",[264,2492,2493],{},"知识库索引",[264,2495,2496],{},"团队",[264,2498,1054],{},[264,2500,2501],{},"知识库",[264,2503,2504],{},"QPM",[274,2506,2507,2531,2556,2580],{},[261,2508,2509,2511,2513,2516,2519,2522,2525,2528],{},[279,2510,1214],{},[279,2512,915],{},[279,2514,2515],{},"100",[279,2517,2518],{},"600",[279,2520,2521],{},"1",[279,2523,2524],{},"10",[279,2526,2527],{},"3",[279,2529,2530],{},"30",[261,2532,2533,2536,2539,2542,2545,2548,2551,2553],{},[279,2534,2535],{},"基础",[279,2537,2538],{},"¥99\u002F月",[279,2540,2541],{},"4000",[279,2543,2544],{},"6000",[279,2546,2547],{},"5",[279,2549,2550],{},"50",[279,2552,2530],{},[279,2554,2555],{},"300",[261,2557,2558,2561,2564,2567,2570,2572,2575,2577],{},[279,2559,2560],{},"高级",[279,2562,2563],{},"¥599\u002F月",[279,2565,2566],{},"25000",[279,2568,2569],{},"36000",[279,2571,2550],{},[279,2573,2574],{},"200",[279,2576,2515],{},[279,2578,2579],{},"1500",[261,2581,2582,2585,2587,2590,2592,2594,2596,2598],{},[279,2583,2584],{},"定制",[279,2586,925],{},[279,2588,2589],{},"弹性",[279,2591,2589],{},[279,2593,2589],{},[279,2595,2589],{},[279,2597,2589],{},[279,2599,2589],{},[38,2601,2602,2605,2606,2609,2610,2614],{},[41,2603,2604],{},"云版适合","：不想运维、量小、要快速上线\n",[41,2607,2608],{},"自托管适合","：量大（10 万+ 日问答）、数据敏感、要深度定制——按 ",[49,2611,2613],{"href":2077,"rel":2612},[53],"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\"",[26,2616,433],{"id":433},[255,2618,2619,2641],{},[258,2620,2621],{},[261,2622,2623,2625,2627,2631,2635,2638],{},[264,2624,266],{},[264,2626,455],{},[264,2628,2629],{},[49,2630,449],{"href":448},[264,2632,2633],{},[49,2634,10],{"href":1002},[264,2636,2637],{},"RAGFlow",[264,2639,2640],{},"AnythingLLM",[274,2642,2643,2663,2679,2694,2711,2726,2743,2758],{},[261,2644,2645,2648,2651,2654,2657,2660],{},[279,2646,2647],{},"核心定位",[279,2649,2650],{},"知识库 QA",[279,2652,2653],{},"综合 LLMOps",[279,2655,2656],{},"Bot + 工作流",[279,2658,2659],{},"文档解析+RAG",[279,2661,2662],{},"桌面级 KB",[261,2664,2665,2667,2670,2672,2674,2676],{},[279,2666,468],{},[279,2668,2669],{},"✅ Apache 2.0",[279,2671,2669],{},[279,2673,298],{},[279,2675,2669],{},[279,2677,2678],{},"✅ MIT",[261,2680,2681,2683,2686,2688,2690,2692],{},[279,2682,482],{},[279,2684,2685],{},"★★★★★ docker",[279,2687,519],{},[279,2689,485],{},[279,2691,516],{},[279,2693,519],{},[261,2695,2696,2699,2702,2704,2706,2709],{},[279,2697,2698],{},"RAG 深度",[279,2700,2701],{},"★★★★★ 最细",[279,2703,516],{},[279,2705,522],{},[279,2707,2708],{},"★★★★★ 文档解析最强",[279,2710,522],{},[261,2712,2713,2716,2718,2720,2722,2724],{},[279,2714,2715],{},"工作流",[279,2717,516],{},[279,2719,519],{},[279,2721,516],{},[279,2723,522],{},[279,2725,1646],{},[261,2727,2728,2731,2734,2736,2739,2741],{},[279,2729,2730],{},"上手",[279,2732,2733],{},"★★★☆☆ 需 docker",[279,2735,516],{},[279,2737,2738],{},"★★★★★ 最简单",[279,2740,522],{},[279,2742,516],{},[261,2744,2745,2748,2750,2752,2754,2756],{},[279,2746,2747],{},"中文优化",[279,2749,519],{},[279,2751,516],{},[279,2753,519],{},[279,2755,516],{},[279,2757,522],{},[261,2759,2760,2763,2766,2768,2770,2772],{},[279,2761,2762],{},"多平台发布",[279,2764,2765],{},"⚠️ API 为主",[279,2767,516],{},[279,2769,519],{},[279,2771,492],{},[279,2773,492],{},[38,2775,2776,584,2778,116],{},[41,2777,583],{},[49,2779,2781],{"href":2077,"rel":2780},[53],"南环 AI 评测",[93,2783,2784,2790,2797,2804,2810],{},[96,2785,2786,2789],{},[41,2787,2788],{},"核心需求是 RAG 精度"," → FastGPT",[96,2791,2792,608,2795],{},[41,2793,2794],{},"需要丰富插件 + 复杂工作流 + 多平台发布",[49,2796,449],{"href":448},[96,2798,2799,608,2802],{},[41,2800,2801],{},"零代码、快速发布到飞书 \u002F 微信",[49,2803,10],{"href":1002},[96,2805,2806,2809],{},[41,2807,2808],{},"文档解析（含 OCR \u002F 表格 \u002F 公式）是瓶颈"," → RAGFlow",[96,2811,2812,2815],{},[41,2813,2814],{},"桌面 \u002F 单机使用"," → AnythingLLM",[38,2817,2818,2821],{},[41,2819,2820],{},"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。",[26,2823,628],{"id":628},[93,2825,2826,2839,2848,2854,2864,2876,2882,2888],{},[96,2827,2828,1753,2831,2834,2835,2838],{},[41,2829,2830],{},"docker-compose 镜像 tag 不一致",[49,2832,2261],{"href":2051,"rel":2833},[53]," 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 ",[654,2836,2837],{},"image:"," 行为正确版本即可",[96,2840,2841,2844,2845,2847],{},[41,2842,2843],{},"3000 端口冲突","：默认占用 3000（主服务）\u002F 9000（S3 \u002F MinIO）\u002F 3005（MCP）；改 ",[654,2846,2439],{}," 的 ports 映射端口",[96,2849,2850,2853],{},[41,2851,2852],{},"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",[96,2855,2856,2859,2860,2863],{},[41,2857,2858],{},"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 ",[49,2861,2613],{"href":2077,"rel":2862},[53],"：\"新手 \u002F 小规模 PgVector，中大规模 Milvus，企业 \u002F 国产 OceanBase\"",[96,2865,2866,1753,2869,2872,2873],{},[41,2867,2868],{},"MinIO 默认密码",[654,2870,2871],{},"minioadmin\u002Fminioadmin","，",[41,2874,2875],{},"部署到公网前必须改",[96,2877,2878,2881],{},[41,2879,2880],{},"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\"",[96,2883,2884,2887],{},[41,2885,2886],{},"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",[96,2889,2890,2893,2894,662],{},[41,2891,2892],{},"云版 AI 积分会过期","：未用完不能跨月累积（按 ",[49,2895,2897],{"href":2474,"rel":2896},[53],"fastgpt.io 定价 FAQ",[26,2899,706],{"id":705},[38,2901,709],{},[93,2903,2904,2907,2910,2913,2916,2919],{},[96,2905,2906],{},"企业内部知识库（员工手册 \u002F 制度 \u002F 流程）",[96,2908,2909],{},"产品 FAQ \u002F 用户手册问答",[96,2911,2912],{},"医疗 \u002F 法律 \u002F 金融垂直领域知识系统",[96,2914,2915],{},"数据严格不出网 + Apache 2.0 商用",[96,2917,2918],{},"有 docker 运维基础的技术团队",[96,2920,2921],{},"需要把 RAG 当后端服务的开发者（API 接入业务系统）",[38,2923,729],{},[93,2925,2926,2931,2936,2939],{},[96,2927,2928,2929,662],{},"完全非技术用户（去 ",[49,2930,10],{"href":1002},[96,2932,2933,2934,662],{},"主要需求是工作流 + 插件集成（去 ",[49,2935,449],{"href":448},[96,2937,2938],{},"文档解析 \u002F OCR 是首要痛点（RAGFlow）",[96,2940,2941],{},"不想自己运维 + 量很小（FastGPT 云免费版起步即可）",[26,2943,762],{"id":762},[93,2945,2946,2955,2971,2985],{},[96,2947,767,2948,687,2950,2952,2953],{},[49,2949,449],{"href":448},[49,2951,10],{"href":1002}," \u002F RAGFlow \u002F AnythingLLM \u002F ",[49,2954,779],{"href":778},[96,2956,782,2957,687,2959,687,2963,687,2966,687,2969],{},[49,2958,790],{"href":789},[49,2960,2962],{"href":2961},"\u002Fwiki\u002Fembedding.html","Embedding",[49,2964,2965],{"href":2961},"Vector Database",[49,2967,2968],{"href":789},"Reranker",[49,2970,786],{"href":785},[96,2972,800,2973,687,2975,687,2977,687,2979,687,2983],{},[49,2974,808],{"href":807},[49,2976,812],{"href":811},[49,2978,816],{"href":815},[49,2980,2982],{"href":2981},"\u002Fmodels\u002Fkimi-k2.html","Kimi K2",[49,2984,804],{"href":803},[96,2986,819,2987,687,2989],{},[49,2988,827],{"href":826},[49,2990,823],{"href":822},[26,2992,830],{"id":830},[93,2994,2995,3001,3007,3013],{},[96,2996,1920,2997],{},[49,2998,2999],{"href":2999,"rel":3000},"https:\u002F\u002Ffastgpt.io",[53],[96,3002,1933,3003],{},[49,3004,3005],{"href":3005,"rel":3006},"https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT",[53],[96,3008,3009,3010],{},"定价：",[49,3011,2474],{"href":2474,"rel":3012},[53],[96,3014,3015],{},"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",[38,3017,3018,3019,865],{},"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 ",[49,3020,864],{"href":863},[1953,3022,3023],{},"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":867,"searchDepth":868,"depth":868,"links":3025},[3026,3027,3035,3036,3037,3038,3039,3040,3041],{"id":28,"depth":871,"text":29},{"id":83,"depth":871,"text":83,"children":3028},[3029,3030,3031,3032,3033,3034],{"id":2085,"depth":868,"text":2086},{"id":2135,"depth":868,"text":2136},{"id":2185,"depth":868,"text":2186},{"id":2249,"depth":868,"text":2249},{"id":2255,"depth":868,"text":2255},{"id":2317,"depth":868,"text":2318},{"id":2352,"depth":871,"text":2353},{"id":2468,"depth":871,"text":2469},{"id":433,"depth":871,"text":433},{"id":628,"depth":871,"text":628},{"id":705,"depth":871,"text":706},{"id":762,"depth":871,"text":762},{"id":830,"depth":871,"text":830},"\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。",[893,894],{},[899,900,898,3047,3048,3049],"gpt-4o","claude-sonnet-4","kimi",[3051,3052,3053],"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",[1985,1986,1987],[3057,3061,3066,3070,3074],{"plan":3058,"price":1214,"limit":3059,"cn_pay":917,"note":3060},"Self-host 开源","全功能 + 全数据本地","Apache 2.0 可商用",{"plan":3062,"price":3063,"limit":3064,"cn_pay":917,"note":3065},"云免费版","¥0\u002F月","100 AI 积分 + 600 索引 + 3 知识库","试水",{"plan":3067,"price":2538,"limit":3068,"cn_pay":922,"note":3069},"云基础版","4000 积分 + 6000 索引 + 50 Agent","中小团队 SaaS",{"plan":3071,"price":2563,"limit":3072,"cn_pay":473,"note":3073},"云高级版","25000 积分 + 36000 索引 + 50 成员 + 200 Agent + 1500 QPM","企业级生产",{"plan":3075,"price":925,"limit":3076,"cn_pay":473,"note":3077},"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",[3080],"onboarding\u002Ffastgpt-getting-started",[939,936,937,938],{"power":941,"ux":941,"price":886,"cn_support":886,"stability":941},{"title":455,"description":3043},"FastGPT 评测 2026：开源知识库问答平台，AI 工作流引擎，对比 Dify",[3086,3088,3090,3092,3094],{"title":3087,"url":2999},"FastGPT 官网",{"title":3089,"url":3005},"FastGPT GitHub",{"title":3091,"url":2474},"FastGPT 定价页",{"title":3093,"url":2077},"FastGPT 2025 测评（南环 AI）",{"title":3095,"url":2051},"FastGPT 部署教程（腾讯云）","tools\u002Fagent\u002Fplatform\u002Ffastgpt",[3098,3099,3100,3101,3102],"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",[965,2025,2026,2027,3105,3106,3107],"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。","3k7sqE3ueQ8CMIEFNqawWzvX4hGkRy7UVY9-HChmMJM",{"id":3111,"title":3112,"alternatives":3113,"api_compatible":891,"body":3115,"category":885,"chinese_friendly":886,"cover":3612,"description":3613,"domestic":889,"extension":890,"faq":3614,"free":889,"github":891,"languages":3627,"lastVerified":895,"meta":3628,"models":891,"navigation":889,"notSuitable":891,"opensource":907,"path":3629,"pillar":909,"platforms":3630,"priceTable":3634,"pricing":3646,"published":3647,"relatedPlaybooks":3648,"relatedReviews":891,"score":3650,"self_host":907,"seo":3651,"seoTitle":3652,"slug":14,"sources":3653,"stem":3662,"suitable":891,"tagline":3663,"tags":3664,"updated":971,"verdict":3670,"website":3577,"__hash__":3671},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fyuanqi.md","腾讯元器",[979,978,3114],"agent\u002Fprotocol\u002Fcomposio",{"type":23,"value":3116,"toc":3600},[3117,3119,3122,3125,3128,3202,3204,3224,3229,3233,3238,3264,3269,3295,3299,3322,3325,3460,3463,3518,3520,3546,3548,3568,3570],[26,3118,29],{"id":28},[38,3120,3121],{},"腾讯元器（yuanqi.tencent.com）是腾讯官方零代码智能体平台，2024 推出、2026-01 完成系统升级。差异点：『人人可用、零代码、零基础』+ 公众号扫码一键授权（历史群发文章 → 智能体知识库）+ 深度整合 LLM + RAG + 工作流 + 多 Agent 协作 + 一键发布到微信客服 \u002F 公众号 \u002F 服务号 \u002F 企业微信 \u002F 应用宝 + 打通微信支付 MCP 闭环 + 智能体广场 \u002F 模板 \u002F 插件广场 + 混元 + DeepSeek 双底座。",[38,3123,3124],{},"适合：微信公众号博主 \u002F 国内自媒体 + 想做粉丝 7×24 问答；政企客服 \u002F 政务 \u002F 民生场景；电商品牌 + 微信生态 + 微信支付闭环；非技术运营人员 + 零代码上手。不适合：海外用户 \u002F 跨平台分发（用 Coze 海外版 \u002F Dify）；需要自托管 \u002F 数据零云（用 Dify）；纯通用 reasoning \u002F 学术 agent；要深度 API + 工程化（用 Langflow \u002F LangChain）。",[26,3126,3127],{"id":3127},"核心能力",[93,3129,3130,3136,3142,3148,3154,3160,3166,3172,3178,3184,3190,3196],{},[96,3131,3132,3135],{},[41,3133,3134],{},"公众号一键授权","：扫码绑定 → 历史文章变知识库",[96,3137,3138,3141],{},[41,3139,3140],{},"零代码创建","：自然语言描述 → 智能体 + 工作流",[96,3143,3144,3147],{},[41,3145,3146],{},"混元 + DeepSeek 双底座","：选模型 + 备案合规",[96,3149,3150,3153],{},[41,3151,3152],{},"知识库 RAG","：文章 \u002F PDF \u002F 网页 \u002F 自定义文本",[96,3155,3156,3159],{},[41,3157,3158],{},"工作流引擎","：可视化编排多步执行",[96,3161,3162,3165],{},[41,3163,3164],{},"多 Agent 协作","：子 agent 调子 agent 完成复杂任务",[96,3167,3168,3171],{},[41,3169,3170],{},"插件广场","：搜索 \u002F 天气 \u002F 翻译 \u002F 图片生成等",[96,3173,3174,3177],{},[41,3175,3176],{},"智能体广场 \u002F 模板","：clone 业内成熟智能体",[96,3179,3180,3183],{},[41,3181,3182],{},"全微信生态发布","：客服 \u002F 公众号 \u002F 服务号 \u002F 企业微信 \u002F 应用宝",[96,3185,3186,3189],{},[41,3187,3188],{},"微信支付 MCP","：智能体可直接发起支付闭环",[96,3191,3192,3195],{},[41,3193,3194],{},"企业版能力","：私有部署 + SSO + 定制",[96,3197,3198,3201],{},[41,3199,3200],{},"小助手 \u002F 客服助手 \u002F IP 分身 \u002F 角色陪聊","等内置场景",[26,3203,1201],{"id":1201},[93,3205,3206,3212,3218],{},[96,3207,3208,3211],{},[41,3209,3210],{},"免费创建","：¥0；创建智能体 + 公众号绑定 + 知识库 + 工作流",[96,3213,3214,3217],{},[41,3215,3216],{},"按量付费","：混元 \u002F DeepSeek token + 知识库检索 + 工作流执行 + 插件调用按次数",[96,3219,3220,3223],{},[41,3221,3222],{},"企业级方案","：联系商务；私有部署 + SSO + 定制 + SLA",[76,3225,3226],{},[38,3227,3228],{},"实际成本：个人公众号博主一月几十块 token 钱足够跑数千次 7×24 问答；企业客服需求要走商务报价。",[26,3230,3232],{"id":3231},"实测公众号自媒体-政企客服","实测（公众号自媒体 + 政企客服）",[38,3234,3235],{},[41,3236,3237],{},"亮点：",[93,3239,3240,3243,3246,3249,3252,3255,3258,3261],{},[96,3241,3242],{},"公众号扫码授权 + 历史文章入库自动化程度极高，5 分钟跑通",[96,3244,3245],{},"混元 + DeepSeek 中文效果好 + 国内备案合规",[96,3247,3248],{},"微信生态全链路：粉丝问 → 智能体答 → 推荐产品 → 微信支付 闭环",[96,3250,3251],{},"智能体广场可看到童爸育儿（2000+ 篇文章库）\u002F 飞哥律界 等真实案例",[96,3253,3254],{},"政务 \u002F 央企（钦州政务 \u002F 中国石化『小石头』）有正式落地",[96,3256,3257],{},"多 Agent 协作架构让复杂业务场景可拆分",[96,3259,3260],{},"零代码运营人员可独立完成，不依赖技术",[96,3262,3263],{},"智能体模板让冷启动快 10x",[38,3265,3266],{},[41,3267,3268],{},"踩坑：",[93,3270,3271,3274,3277,3280,3283,3286,3289,3292],{},[96,3272,3273],{},"新旧版双底层，旧版用户迁移有摩擦",[96,3275,3276],{},"海外用户访问受限，跨海外业务用不上",[96,3278,3279],{},"工作流编排能力不如 Dify \u002F Coze 强（少高级控制流）",[96,3281,3282],{},"多 Agent 编排 UI 学习曲线",[96,3284,3285],{},"知识库切片粒度自定义有限",[96,3287,3288],{},"国产模型 reasoning 能力比 GPT-5 \u002F Claude 仍有差距",[96,3290,3291],{},"自托管 \u002F 数据私有化不可行（除非企业版私有部署）",[96,3293,3294],{},"海外大模型接入限制（混元 \u002F DeepSeek 为主）",[26,3296,3298],{"id":3297},"上手公众号博主-5-分钟","上手（公众号博主 5 分钟）",[392,3300,3301,3304,3307,3310,3313,3316,3319],{},[96,3302,3303],{},"yuanqi.tencent.com → 微信扫码登录",[96,3305,3306],{},"新建智能体 → 名字 + 头像 + 描述",[96,3308,3309],{},"知识库 → 绑定公众号 → 扫码授权 → 等历史文章入库（几分钟）",[96,3311,3312],{},"角色设定 → 例：『你是 X 公众号官方助手，基于知识库回答问题』",[96,3314,3315],{},"测试对话 → 验证答案命中文章",[96,3317,3318],{},"发布 → 选择渠道（公众号菜单 \u002F 客服）",[96,3320,3321],{},"粉丝在公众号点击菜单 → 进入 AI 对话",[26,3323,3324],{"id":3324},"对比",[255,3326,3327,3342],{},[258,3328,3329],{},[261,3330,3331,3333,3335,3337,3339],{},[264,3332,266],{},[264,3334,625],{},[264,3336,10],{},[264,3338,449],{},[264,3340,3341],{},"文心智能体",[274,3343,3344,3358,3372,3388,3402,3415,3432,3445],{},[261,3345,3346,3348,3351,3353,3355],{},[279,3347,3134],{},[279,3349,3350],{},"✅ 旗舰",[279,3352,298],{},[279,3354,298],{},[279,3356,3357],{},"部分",[261,3359,3360,3363,3366,3368,3370],{},[279,3361,3362],{},"微信支付闭环",[279,3364,3365],{},"✅ MCP",[279,3367,298],{},[279,3369,298],{},[279,3371,298],{},[261,3373,3374,3377,3380,3383,3385],{},[279,3375,3376],{},"多渠道发布",[279,3378,3379],{},"微信生态",[279,3381,3382],{},"多平台 + 海外",[279,3384,1378],{},[279,3386,3387],{},"百度生态",[261,3389,3390,3393,3395,3398,3400],{},[279,3391,3392],{},"海外可用",[279,3394,298],{},[279,3396,3397],{},"✅ Coze.com",[279,3399,473],{},[279,3401,298],{},[261,3403,3404,3406,3409,3411,3413],{},[279,3405,1378],{},[279,3407,3408],{},"❌（企业版才有）",[279,3410,298],{},[279,3412,2669],{},[279,3414,298],{},[261,3416,3417,3420,3423,3426,3429],{},[279,3418,3419],{},"LLM 底座",[279,3421,3422],{},"混元 + DeepSeek",[279,3424,3425],{},"多家",[279,3427,3428],{},"多家 + 自托管",[279,3430,3431],{},"文心一言",[261,3433,3434,3436,3439,3441,3443],{},[279,3435,2715],{},[279,3437,3438],{},"✅ 基础",[279,3440,3350],{},[279,3442,3350],{},[279,3444,473],{},[261,3446,3447,3450,3453,3455,3458],{},[279,3448,3449],{},"适合",[279,3451,3452],{},"公众号 + 国内",[279,3454,3382],{},[279,3456,3457],{},"自托管 + 企业",[279,3459,3387],{},[26,3461,3462],{"id":3462},"避坑",[93,3464,3465,3471,3477,3483,3489,3494,3500,3506,3512],{},[96,3466,3467,3470],{},[41,3468,3469],{},"新版优先","：旧版功能停止演进，新建议直接新版",[96,3472,3473,3476],{},[41,3474,3475],{},"公众号文章质量","：知识库 = 文章质量，垃圾文章入库 = 垃圾回答",[96,3478,3479,3482],{},[41,3480,3481],{},"测试对话","：发布前测 20 个常见问题，验证答案准确",[96,3484,3485,3488],{},[41,3486,3487],{},"兜底回复","：知识库命中失败要有兜底引导（『请联系人工』）",[96,3490,3491,3493],{},[41,3492,3362],{},"：用户体验要清晰，支付链路要可中断",[96,3495,3496,3499],{},[41,3497,3498],{},"token 预算","：开通调用前看模型计价 + 设上限",[96,3501,3502,3505],{},[41,3503,3504],{},"海外用户","：访问可能不稳，业务覆盖海外要走 Coze",[96,3507,3508,3511],{},[41,3509,3510],{},"政务 \u002F 央企合规","：用企业版私有部署 + 备案",[96,3513,3514,3517],{},[41,3515,3516],{},"多 Agent 不要过度","：复杂业务先单 agent 跑通，再拆分",[26,3519,706],{"id":705},[93,3521,3522,3525,3528,3531,3534,3537,3540,3543],{},[96,3523,3524],{},"✅ 微信公众号博主 \u002F 国内自媒体",[96,3526,3527],{},"✅ 政企客服 \u002F 政务 \u002F 民生场景",[96,3529,3530],{},"✅ 电商品牌 + 微信支付闭环",[96,3532,3533],{},"✅ 零代码运营 + 非技术团队",[96,3535,3536],{},"❌ 海外用户 \u002F 跨平台分发",[96,3538,3539],{},"❌ 自托管 \u002F 数据零云",[96,3541,3542],{},"❌ 纯通用 reasoning \u002F 学术 agent",[96,3544,3545],{},"❌ 深度工程化 + API-first",[26,3547,762],{"id":762},[93,3549,3550,3556,3562],{},[96,3551,3552],{},[49,3553,3555],{"href":3554},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[96,3557,3558],{},[49,3559,3561],{"href":3560},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[96,3563,3564],{},[49,3565,3567],{"href":3566},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[26,3569,830],{"id":830},[392,3571,3572,3579,3586,3593],{},[96,3573,3574,3575],{},"腾讯元器官网 ",[49,3576,3577],{"href":3577,"rel":3578},"https:\u002F\u002Fyuanqi.tencent.com",[53],[96,3580,3581,3582],{},"腾讯元器帮助中心 - 平台介绍 + 升级说明 ",[49,3583,3584],{"href":3584,"rel":3585},"https:\u002F\u002Fyuanqi.tencent.com\u002Fguide\u002Fyuanqi-introduction",[53],[96,3587,3588,3589],{},"智能体广场（真实落地案例：童爸育儿 \u002F 飞哥律界 \u002F 钦州政务 \u002F 中国石化小石头）",[49,3590,3591],{"href":3591,"rel":3592},"https:\u002F\u002Fyuanqi.tencent.com\u002Fagent-center\u002Findex",[53],[96,3594,3595,3596],{},"AGI 空间站 — 腾讯混元 + 元器生态 ",[49,3597,3598],{"href":3598,"rel":3599},"https:\u002F\u002Fdocs.feishu.cn\u002Fv\u002Fwiki\u002FJc1TwOaAni879pksMgmcqgUNnof\u002Fa3",[53],{"title":867,"searchDepth":868,"depth":868,"links":3601},[3602,3603,3604,3605,3606,3607,3608,3609,3610,3611],{"id":28,"depth":871,"text":29},{"id":3127,"depth":871,"text":3127},{"id":1201,"depth":871,"text":1201},{"id":3231,"depth":871,"text":3232},{"id":3297,"depth":871,"text":3298},{"id":3324,"depth":871,"text":3324},{"id":3462,"depth":871,"text":3462},{"id":705,"depth":871,"text":706},{"id":762,"depth":871,"text":762},{"id":830,"depth":871,"text":830},"\u002Fimg\u002Ftools\u002Fyuanqi.webp","腾讯元器（yuanqi.tencent.com）真实评测：腾讯官方零代码智能体平台，2024 推出、2026-01 完成系统升级（新旧双版本并存）。差异点：『人人可用、零代码、零基础』面向普通用户 + 公众号扫码一键授权（历史群发文章 → 智能体知识库）+ 深度整合 LLM + RAG + 工作流引擎 + 多 Agent 协作架构 + 一键发布到微信客服 \u002F 公众号 \u002F 服务号 \u002F 企业微信 \u002F 应用宝 + 打通微信支付 MCP 闭环 + 智能体广场 \u002F 模板 \u002F 插件广场 + 混元 + DeepSeek 双底座。",[3615,3618,3621,3624],{"q":3616,"a":3617},"和扣子 Coze \u002F Dify \u002F 文心智能体怎么选？","元器的核心独门：『微信公众号一键授权 + 文章变知识库 + 发布到微信全生态 + 微信支付 MCP』。Coze（字节）强『多 LLM + Bot 商店 + 海外版』。Dify 强『LLMOps 全平台 + 可自托管』。文心智能体强『百度生态 + 搜索 + 文心一言』。微信公众号博主 \u002F 政企客户 → 元器；多平台分发 \u002F 跨海外 → Coze；自托管 \u002F 企业 → Dify；百度生态 → 文心。",{"q":3619,"a":3620},"新旧版关系？","2025-12 元器完成系统升级，新版底层逻辑重写（多 Agent 架构 + 微信支付 MCP 等新能力）。旧版创建的智能体 \u002F 知识库 \u002F 工作流暂时无法直接同步到新版（两套底层），需走迁移路径。新建议直接用新版。官方文档：『从旧版元器迁移智能体到新版元器』。",{"q":3622,"a":3623},"公众号绑定后如何运作？","公众号管理员扫码授权 → 元器拉取历史群发文章 → 自动切片 + embedding 入知识库 → 公众号菜单栏出现『智能问答』入口 → 粉丝点击进入智能体对话 → 命中知识库的问题用文章原文 + LLM 综合回答 → 命中失败走兜底回复。这套路径让自媒体几乎零成本拥有 7×24 客服 \u002F 问答机器人。",{"q":3625,"a":3626},"数据隐私和合规？","元器是腾讯官方服务 + 数据托管在腾讯云 + 合规接入备案算法（混元 \u002F DeepSeek）。对国内合规 \u002F 政务 \u002F 央企场景非常友好。但对隐私敏感 \u002F 数据零云需求 → 走 Dify 自托管 + 国产开源模型路径，不要用元器。",[893,894],{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fyuanqi",[911,3631,3632,3633],"wechat-mp","wechat-work","wechat-pay",[3635,3638,3642],{"plan":3210,"price":915,"features":3636,"notes":3637},"创建智能体 + 公众号绑定 + 知识库 + 工作流 + 智能体广场","模型 token 按量",{"plan":3216,"price":3639,"features":3640,"notes":3641},"按调用","混元 \u002F DeepSeek \u002F 知识库检索 \u002F 工作流执行 \u002F 插件调用","token + API 次数",{"plan":3222,"price":3643,"features":3644,"notes":3645},"联系商务","私有部署 + SSO + audit + 定制开发 + 多 agent 协作 + SLA","政企客户","免费创建 \u002F 模型调用按 token \u002F 部分能力按调用次数 \u002F 企业版联系商务","2026-06-19",[3649],"onboarding\u002Fwechat-mp-ai-agent",{"power":941,"ux":886,"price":886,"cn_support":886,"stability":941},{"title":3112,"description":3613},"腾讯元器 AI Agent 平台评测 2026：腾讯混元大模型应用开发",[3654,3656,3658,3660],{"name":3655,"url":3577,"accessed":971},"腾讯元器官网",{"name":3657,"url":3584,"accessed":971},"腾讯元器帮助中心 - 平台介绍",{"name":3659,"url":3591,"accessed":971},"智能体广场",{"name":3661,"url":3598,"accessed":971},"AGI 空间站 — 腾讯混元 + 元器生态","tools\u002Fagent\u002Fplatform\u002Fyuanqi","腾讯零代码智能体平台——公众号一键变 AI 分身 + 混元 \u002F DeepSeek 双底座 + 微信生态全链路",[3665,3666,966,3667,3668,3669],"agent-builder","wechat","hunyuan","deepseek","yuanqi","微信公众号博主 \u002F 国内自媒体 \u002F 政企客服首选——把公众号变 7×24 AI 分身的最低成本路径。要纯通用 agent \u002F 海外用户 \u002F 复杂 reasoning 用 Dify \u002F Coze。","dr8Ur0FMKHIUlQRPweHwXSQqCuJw2GXusUjBm3DMz2s",1785660639241]