[{"data":1,"prerenderedAt":4966},["ShallowReactive",2],{"tool-tools\u002Fagent\u002Fplatform":3,"header-counts":4,"footer-counts":7,"tools-agent-platform":10},null,{"tools":5,"reviews":6},65,7,{"tools":5,"reviews":6,"playbooks":8,"news":9},10,8,[11,962,1995,3071,3706,4416],{"id":12,"title":13,"alternatives":14,"api_compatible":18,"body":19,"category":881,"chinese_friendly":882,"cover":883,"description":884,"domestic":885,"extension":886,"faq":3,"free":885,"github":3,"languages":887,"meta":890,"models":891,"navigation":897,"notSuitable":898,"opensource":885,"path":902,"pillar":903,"platforms":904,"priceTable":906,"pricing":927,"published":928,"relatedPlaybooks":3,"relatedReviews":3,"score":929,"self_host":885,"seo":931,"slug":932,"sources":933,"stem":944,"suitable":945,"tagline":951,"tags":952,"updated":959,"verdict":960,"website":48,"__hash__":961},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md","Coze",[15,16,17],"agent\u002Fplatform\u002Fdify","agent\u002Fplatform\u002Ffastgpt","agent\u002Fplatform\u002Fyuanqi",[],{"type":20,"value":21,"toc":862},"minimark",[22,27,72,78,81,86,89,105,114,164,173,177,180,212,220,224,227,247,251,339,349,352,355,375,384,388,425,428,431,576,592,623,626,700,704,707,724,727,757,760,825,828,855],[23,24,26],"h2",{"id":25},"tldr","TL;DR",[28,29,34,59],"div",{"className":30},[31,32,33],"card","p-5","my-4",[35,36,37,41,42,58],"p",{},[38,39,40],"strong",{},"一句话："," 字节跳动出品的低代码 Agent 平台，",[38,43,44,45,52,53],{},"国内版 ",[46,47,51],"a",{"href":48,"rel":49},"https:\u002F\u002Fwww.coze.cn",[50],"nofollow","coze.cn","（中文叫\"扣子\"）+ 国际版 ",[46,54,57],{"href":55,"rel":56},"https:\u002F\u002Fwww.coze.com",[50],"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。",[35,60,61,62,65,66,71],{},"最大价值是 ",[38,63,64],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[46,67,70],{"href":68,"rel":69},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[50],"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\"。",[73,74,75],"blockquote",{},[35,76,77],{},"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。",[23,79,80],{"id":80},"核心特性",[82,83,85],"h3",{"id":84},"可视化工作流最大卖点","可视化工作流（最大卖点）",[35,87,88],{},"Coze 把 Agent 拆成两层：",[90,91,92,99],"ul",{},[93,94,95,98],"li",{},[38,96,97],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[93,100,101,104],{},[38,102,103],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署",[35,106,107,108,113],{},"工作流节点类型（基于 ",[46,109,112],{"href":110,"rel":111},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[50],"火山引擎社区 2025 实战","）：",[90,115,116,122,128,134,140,146,152,158],{},[93,117,118,121],{},[38,119,120],{},"开始 \u002F 结束节点","：输入输出",[93,123,124,127],{},[38,125,126],{},"大模型节点","：调豆包 \u002F GPT \u002F Claude 任一模型",[93,129,130,133],{},[38,131,132],{},"代码节点","：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[93,135,136,139],{},[38,137,138],{},"循环节点","：批量处理多条数据",[93,141,142,145],{},[38,143,144],{},"条件节点","：分支判断",[93,147,148,151],{},[38,149,150],{},"插件节点","：调 Coze 插件市场的工具",[93,153,154,157],{},[38,155,156],{},"知识库节点","：RAG 检索",[93,159,160,163],{},[38,161,162],{},"HTTP 节点","：调外部 API",[35,165,166,167,172],{},"典型用例（参考 ",[46,168,171],{"href":169,"rel":170},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[50],"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。",[82,174,176],{"id":175},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[35,178,179],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[90,181,182,188,194,200,206],{},[93,183,184,187],{},[38,185,186],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[93,189,190,193],{},[38,191,192],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[93,195,196,199],{},[38,197,198],{},"联网搜索","：实时网页检索",[93,201,202,205],{},[38,203,204],{},"代码执行","：在线运行 Python",[93,207,208,211],{},[38,209,210],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[35,213,214,219],{},[46,215,218],{"href":216,"rel":217},"https:\u002F\u002Fkouziai.github.io\u002F",[50],"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。",[82,221,223],{"id":222},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[35,225,226],{},"发布渠道：",[90,228,229,232,235,238,241,244],{},[93,230,231],{},"飞书机器人（一键绑）",[93,233,234],{},"抖音 \u002F 头条号",[93,236,237],{},"微信小程序 \u002F 公众号（部分需企业认证）",[93,239,240],{},"自定义网页嵌入",[93,242,243],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[93,245,246],{},"Discord（国际版）",[82,248,250],{"id":249},"国内版-vs-国际版","国内版 vs 国际版",[252,253,254,270],"table",{},[255,256,257],"thead",{},[258,259,260,264,267],"tr",{},[261,262,263],"th",{},"维度",[261,265,266],{},"扣子（coze.cn）",[261,268,269],{},"Coze（coze.com）",[271,272,273,285,296,306,317,328],"tbody",{},[258,274,275,279,282],{},[276,277,278],"td",{},"主力模型",[276,280,281],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[276,283,284],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[258,286,287,290,293],{},[276,288,289],{},"飞书 \u002F 抖音 \u002F 微信集成",[276,291,292],{},"✅ 原生",[276,294,295],{},"❌",[258,297,298,301,304],{},[276,299,300],{},"Discord \u002F Slack 集成",[276,302,303],{},"⚠️ 有限",[276,305,292],{},[258,307,308,311,314],{},[276,309,310],{},"数据存储位置",[276,312,313],{},"国内",[276,315,316],{},"海外",[258,318,319,322,325],{},[276,320,321],{},"支付",[276,323,324],{},"微信 \u002F 支付宝",[276,326,327],{},"海外信用卡",[258,329,330,333,336],{},[276,331,332],{},"内容合规",[276,334,335],{},"严格审核",[276,337,338],{},"宽松",[35,340,341,344,345,348],{},[38,342,343],{},"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 ",[38,346,347],{},"不互通","。",[23,350,351],{"id":351},"价格与运行成本",[35,353,354],{},"国内版（扣子）：",[90,356,357,363,369],{},[93,358,359,362],{},[38,360,361],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[93,364,365,368],{},[38,366,367],{},"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",[93,370,371,374],{},[38,372,373],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[35,376,377,378,383],{},"国际版（coze.com）的定价模式据 ",[46,379,382],{"href":380,"rel":381},"https:\u002F\u002Fdocs.coze.com\u002F",[50],"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。",[23,385,387],{"id":386},"上手-10-分钟","上手 10 分钟",[389,390,391,404,407,410,413,416,419,422],"ol",{},[93,392,393,394,398,399,403],{},"打开 ",[46,395,397],{"href":48,"rel":396},[50],"www.coze.cn","（国内）或 ",[46,400,402],{"href":55,"rel":401},[50],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[93,405,406],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[93,408,409],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[93,411,412],{},"写 Bot 角色 prompt",[93,414,415],{},"可选：上传 PDF \u002F 文档建知识库",[93,417,418],{},"测试一下对话效果",[93,420,421],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[93,423,424],{},"拿到调用 URL \u002F 飞书机器人 webhook",[35,426,427],{},"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。",[23,429,430],{"id":430},"与同类怎么选",[252,432,433,459],{},[255,434,435],{},[258,436,437,439,441,447,453],{},[261,438,263],{},[261,440,13],{},[261,442,443],{},[46,444,446],{"href":445},"\u002Fagent\u002Fplatform\u002Fdify.html","Dify",[261,448,449],{},[46,450,452],{"href":451},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT",[261,454,455],{},[46,456,458],{"href":457},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[271,460,461,475,490,506,522,535,549,563],{},[258,462,463,466,468,471,473],{},[276,464,465],{},"开源",[276,467,295],{},[276,469,470],{},"✅",[276,472,470],{},[276,474,295],{},[258,476,477,480,483,485,487],{},[276,478,479],{},"私有部署",[276,481,482],{},"⚠️ 仅企业版",[276,484,470],{},[276,486,470],{},[276,488,489],{},"⚠️",[258,491,492,495,498,501,503],{},[276,493,494],{},"上手难度",[276,496,497],{},"★ 最简单",[276,499,500],{},"★★★",[276,502,500],{},[276,504,505],{},"★★",[258,507,508,511,514,517,520],{},[276,509,510],{},"工作流编排",[276,512,513],{},"★★★★☆",[276,515,516],{},"★★★★★",[276,518,519],{},"★★★☆☆",[276,521,519],{},[258,523,524,527,529,531,533],{},[276,525,526],{},"RAG 精度",[276,528,519],{},[276,530,513],{},[276,532,516],{},[276,534,519],{},[258,536,537,540,542,544,546],{},[276,538,539],{},"字节生态",[276,541,516],{},[276,543,295],{},[276,545,295],{},[276,547,548],{},"❌（腾讯系）",[258,550,551,554,557,559,561],{},[276,552,553],{},"插件市场",[276,555,556],{},"★★★★★ 200+",[276,558,519],{},[276,560,519],{},[276,562,519],{},[258,564,565,568,570,572,574],{},[276,566,567],{},"中文社区",[276,569,516],{},[276,571,513],{},[276,573,513],{},[276,575,513],{},[35,577,578,581,582,587,588,113],{},[38,579,580],{},"怎么选","（综合 ",[46,583,586],{"href":584,"rel":585},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[50],"BestHub 2025-07"," 和 ",[46,589,591],{"href":68,"rel":590},[50],"博客园 2026-01",[90,593,594,600,608,615],{},[93,595,596,599],{},[38,597,598],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[93,601,602,605,606],{},[38,603,604],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队"," → ",[46,607,446],{"href":445},[93,609,610,605,613],{},[38,611,612],{},"核心场景就是企业知识库 QA",[46,614,452],{"href":451},[93,616,617,605,620],{},[38,618,619],{},"QQ \u002F 微信生态 + 腾讯系",[46,621,622],{"href":457},"元器",[23,624,625],{"id":625},"避坑清单",[90,627,628,638,644,660,670,676,688,694],{},[93,629,630,633,634,637],{},[38,631,632],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[38,635,636],{},"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",[93,639,640,643],{},[38,641,642],{},"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",[93,645,646,649,650,654,655,659],{},[38,647,648],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[651,652,653],"code",{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[46,656,658],{"href":110,"rel":657},[50],"火山引擎 2025 教程","）",[93,661,662,665,666,669],{},[38,663,664],{},"工作流读取飞书表格默认 20 条","：要改 ",[651,667,668],{},"page_size","，最大 500 条；超过 500 要分页或循环",[93,671,672,675],{},[38,673,674],{},"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",[93,677,678,681,682,684,685,687],{},[38,679,680],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[46,683,446],{"href":445}," \u002F ",[46,686,452],{"href":451}," 自托管",[93,689,690,693],{},[38,691,692],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[93,695,696,699],{},[38,697,698],{},"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",[23,701,703],{"id":702},"适合-不适合","适合 \u002F 不适合",[35,705,706],{},"✅ 适合：",[90,708,709,712,715,718,721],{},[93,710,711],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[93,713,714],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[93,716,717],{},"个人副业（小红书账号批量内容生成等）",[93,719,720],{},"中小企业客服 Bot（3 天上线）",[93,722,723],{},"想用豆包 \u002F DeepSeek 国产模型的人",[35,725,726],{},"❌ 不适合：",[90,728,729,732,735,740,747],{},[93,730,731],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[93,733,734],{},"复杂业务系统深度集成（自由度不够）",[93,736,737,738,659],{},"反感字节生态（去 ",[46,739,446],{"href":445},[93,741,742,743,684,745,659],{},"希望开源 \u002F 完全自主可控（去 ",[46,744,446],{"href":445},[46,746,452],{"href":451},[93,748,749,750,684,752,756],{},"海外 toB SaaS 产品后端（",[46,751,446],{"href":445},[46,753,755],{"href":754},"\u002Fagent\u002Fplatform\u002Flangflow.html","Langflow"," 更合适）",[23,758,759],{"id":759},"相关阅读",[90,761,762,777,795,814],{},[93,763,764,765,684,767,684,769,684,771,684,773],{},"同类对比：",[46,766,446],{"href":445},[46,768,452],{"href":451},[46,770,622],{"href":457},[46,772,755],{"href":754},[46,774,776],{"href":775},"\u002Fagent\u002Fplatform\u002Fn8n.html","n8n",[93,778,779,780,684,784,684,788,684,792],{},"概念：",[46,781,783],{"href":782},"\u002Fwiki\u002Fai-agent.html","AI Agent",[46,785,787],{"href":786},"\u002Fwiki\u002Frag.html","RAG",[46,789,791],{"href":790},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[46,793,794],{"href":782},"Multi-Agent",[93,796,797,798,684,802,684,806,684,810],{},"模型：",[46,799,801],{"href":800},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[46,803,805],{"href":804},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[46,807,809],{"href":808},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[46,811,813],{"href":812},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[93,815,816,817,684,821],{},"进阶：",[46,818,820],{"href":819},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[46,822,824],{"href":823},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[23,826,827],{"id":827},"来源",[90,829,830,836,842,849,852],{},[93,831,832,833],{},"国内版：",[46,834,48],{"href":48,"rel":835},[50],[93,837,838,839],{},"国际版：",[46,840,55],{"href":55,"rel":841},[50],[93,843,844,845],{},"官方文档：",[46,846,847],{"href":847,"rel":848},"https:\u002F\u002Fdocs.coze.com",[50],[93,850,851],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[93,853,854],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[35,856,857,858,861],{},"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 ",[46,859,860],{"href":860},"\u002Fsubmit"," 反馈。",{"title":863,"searchDepth":864,"depth":864,"links":865},"",3,[866,868,874,875,876,877,878,879,880],{"id":25,"depth":867,"text":26},2,{"id":80,"depth":867,"text":80,"children":869},[870,871,872,873],{"id":84,"depth":864,"text":85},{"id":175,"depth":864,"text":176},{"id":222,"depth":864,"text":223},{"id":249,"depth":864,"text":250},{"id":351,"depth":867,"text":351},{"id":386,"depth":867,"text":387},{"id":430,"depth":867,"text":430},{"id":625,"depth":867,"text":625},{"id":702,"depth":867,"text":703},{"id":759,"depth":867,"text":759},{"id":827,"depth":867,"text":827},"platform",5,"\u002Fimg\u002Ftools\u002Fcoze.webp","Coze 真实评测：字节出品低代码 Agent 平台，可视化工作流编排、插件市场、Bot 一键发布。国内版（扣子）支持豆包，国际版支持 GPT\u002FClaude。AIHO 编辑部基于官方文档与社区资料整理，含定位、与 Dify\u002FFastGPT 对比、避坑指南。",false,"md",[888,889],"zh","en",{},[892,893,894,895,896],"doubao-pro","deepseek-v3","qwen-max","gpt-4o (国际版)","claude (国际版)",true,[899,900,901],"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",[905],"web",[907,913,918,922],{"plan":908,"price":909,"limit":910,"cn_pay":911,"note":912},"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":367,"price":914,"limit":915,"cn_pay":916,"note":917},"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":373,"price":919,"limit":920,"cn_pay":470,"note":921},"议价","VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":923,"price":924,"cn_pay":925,"note":926,"limit":911},"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":930,"ux":882,"price":930,"cn_support":882,"stability":930},4,{"title":13,"description":884},"agent\u002Fplatform\u002Fcoze",[934,936,938,940,942],{"title":935,"url":48},"Coze 国内版（扣子）",{"title":937,"url":55},"Coze 国际版",{"title":939,"url":847},"Coze 官方文档",{"title":941,"url":68},"Coze vs Dify vs FastGPT 选型 2026",{"title":943,"url":584},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[946,947,948,949,950],"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",[953,954,955,956,957,958],"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。","KWtbqzHU1_VGE_xOR2zlayUtxLlYNrVBcFee1O5XH3E",{"id":963,"title":446,"alternatives":964,"api_compatible":3,"body":967,"category":881,"chinese_friendly":930,"cover":1960,"description":1961,"domestic":885,"extension":886,"faq":3,"free":885,"github":1251,"languages":1962,"meta":1964,"models":3,"navigation":897,"notSuitable":3,"opensource":897,"path":1965,"pillar":903,"platforms":1966,"priceTable":3,"pricing":1970,"published":928,"relatedPlaybooks":3,"relatedReviews":3,"score":1971,"self_host":897,"seo":1972,"slug":15,"sources":1973,"stem":1985,"suitable":3,"tagline":1986,"tags":1987,"updated":959,"verdict":1993,"website":1905,"__hash__":1994},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fdify.md",[932,16,965,966],"agent\u002Fplatform\u002Fn8n","agent\u002Fplatform\u002Flangflow",{"type":20,"value":968,"toc":1938},[969,971,989,994,996,1000,1003,1072,1075,1079,1082,1096,1112,1116,1119,1130,1134,1142,1153,1157,1160,1162,1166,1175,1236,1243,1247,1255,1319,1322,1342,1346,1349,1409,1415,1417,1508,1511,1540,1542,1670,1682,1717,1719,1792,1794,1796,1816,1818,1847,1849,1896,1898,1929,1934],[23,970,26],{"id":25},[28,972,974,979],{"className":973},[31,32,33],[35,975,976,978],{},[38,977,40],{}," 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。",[35,980,61,981,984,985,988],{},[38,982,983],{},"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 ",[46,986,13],{"href":987},"\u002Fagent\u002Fplatform\u002Fcoze.html"," 折腾，新手得读 1-2 小时文档。",[73,990,991],{},[35,992,993],{},"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。",[23,995,80],{"id":80},[82,997,999],{"id":998},"可视化工作流chatflow-workflow","可视化工作流（Chatflow + Workflow）",[35,1001,1002],{},"Dify 把 LLM 应用拆成两种\"应用类型\"：",[252,1004,1005,1018],{},[255,1006,1007],{},[258,1008,1009,1012,1015],{},[261,1010,1011],{},"类型",[261,1013,1014],{},"适合场景",[261,1016,1017],{},"编排范式",[271,1019,1020,1033,1046,1059],{},[258,1021,1022,1027,1030],{},[276,1023,1024],{},[38,1025,1026],{},"Chatbot",[276,1028,1029],{},"简单对话机器人",[276,1031,1032],{},"prompt + tools",[258,1034,1035,1040,1043],{},[276,1036,1037],{},[38,1038,1039],{},"Agent",[276,1041,1042],{},"自主多步任务",[276,1044,1045],{},"ReAct \u002F Function Calling",[258,1047,1048,1053,1056],{},[276,1049,1050],{},[38,1051,1052],{},"Chatflow",[276,1054,1055],{},"对话型工作流（多轮 + 分支）",[276,1057,1058],{},"节点 DAG，带聊天上下文",[258,1060,1061,1066,1069],{},[276,1062,1063],{},[38,1064,1065],{},"Workflow",[276,1067,1068],{},"单次输入→输出（API 模式）",[276,1070,1071],{},"节点 DAG，无对话状态",[35,1073,1074],{},"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\"。",[82,1076,1078],{"id":1077},"rag-知识库","RAG 知识库",[35,1080,1081],{},"内置完整 RAG 链路：",[389,1083,1084,1087,1090,1093],{},[93,1085,1086],{},"上传文档（PDF \u002F Word \u002F Markdown \u002F 网页）",[93,1088,1089],{},"自动分块 + embedding（可配置分段策略和 embedding 模型）",[93,1091,1092],{},"混合检索（向量 + 全文 + 重排）",[93,1094,1095],{},"引用溯源（回答末尾自动附原文片段）",[35,1097,1098,1099,1104,1105,1108,1109,1111],{},"注意：根据 ",[46,1100,1103],{"href":1101,"rel":1102},"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F1887141987838309480",[50],"知乎 LLM 实战笔记 2025-03 对比"," 的实测，Dify ",[38,1106,1107],{},"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 ",[46,1110,452],{"href":451},"（实测准确率高 10+ 个百分点），Dify 胜在工作流而非纯 RAG。",[82,1113,1115],{"id":1114},"模型生态40-提供商","模型生态：40+ 提供商",[35,1117,1118],{},"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。",[35,1120,1121,1122,1124,1125,1129],{},"国产模型原生支持（不像 ",[46,1123,452],{"href":451}," 需要 ",[46,1126,1128],{"href":1127},"\u002Fcoding\u002Fapi\u002Fone-api.html","OneAPI"," 中转），是 Dify 在国内 toB 场景流行的关键。",[82,1131,1133],{"id":1132},"mcp-协议支持","MCP 协议支持",[35,1135,1136,1137,1141],{},"Dify 较早接入了 ",[46,1138,1140],{"href":1139},"\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：",[90,1143,1144,1147,1150],{},[93,1145,1146],{},"通过 MCP 调本地 PostgreSQL \u002F SQLite",[93,1148,1149],{},"通过 MCP 调 GitHub \u002F Slack \u002F Linear",[93,1151,1152],{},"通过 MCP 调自家内部系统（写一个 MCP Server 即可）",[82,1154,1156],{"id":1155},"api-first","API-first",[35,1158,1159],{},"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。",[23,1161,351],{"id":351},[82,1163,1165],{"id":1164},"云版difyai","云版（dify.ai）",[35,1167,1168,1169,1174],{},"根据 ",[46,1170,1173],{"href":1171,"rel":1172},"https:\u002F\u002Fwww.tooljunction.io\u002Fai-tools\u002Fdify-ai",[50],"tooljunction.io 2026 评测"," 引用的官方定价：",[252,1176,1177,1190],{},[255,1178,1179],{},[258,1180,1181,1184,1187],{},[261,1182,1183],{},"套餐",[261,1185,1186],{},"价格",[261,1188,1189],{},"主要限制",[271,1191,1192,1203,1214,1225],{},[258,1193,1194,1197,1200],{},[276,1195,1196],{},"Sandbox",[276,1198,1199],{},"免费",[276,1201,1202],{},"200 次模型调用，1 app，5MB 知识库",[258,1204,1205,1208,1211],{},[276,1206,1207],{},"Professional",[276,1209,1210],{},"$59\u002F月起",[276,1212,1213],{},"5000 调用\u002F月，多 app，50MB 知识库",[258,1215,1216,1219,1222],{},[276,1217,1218],{},"Team",[276,1220,1221],{},"$159\u002F月起",[276,1223,1224],{},"团队协作、SSO",[258,1226,1227,1230,1233],{},[276,1228,1229],{},"Enterprise",[276,1231,1232],{},"联系销售",[276,1234,1235],{},"定制 SLA、私有云",[35,1237,1238,1239,1242],{},"注意：云版价格只是 Dify 平台费，",[38,1240,1241],{},"模型 API 费用另算","（自带 OpenAI \u002F Anthropic key）。",[82,1244,1246],{"id":1245},"自托管推荐","自托管（推荐）",[35,1248,1249,1254],{},[46,1250,1253],{"href":1251,"rel":1252},"https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify",[50],"官方 GitHub 仓库"," 提供 Docker Compose 部署，社区版完全免费可商用：",[1256,1257,1261],"pre",{"className":1258,"code":1259,"language":1260,"meta":863,"style":863},"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",[651,1262,1263,1279,1288,1299,1313],{"__ignoreMap":863},[1264,1265,1268,1272,1276],"span",{"class":1266,"line":1267},"line",1,[1264,1269,1271],{"class":1270},"sScJk","git",[1264,1273,1275],{"class":1274},"sZZnC"," clone",[1264,1277,1278],{"class":1274}," https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\n",[1264,1280,1281,1285],{"class":1266,"line":867},[1264,1282,1284],{"class":1283},"sj4cs","cd",[1264,1286,1287],{"class":1274}," dify\u002Fdocker\n",[1264,1289,1290,1293,1296],{"class":1266,"line":864},[1264,1291,1292],{"class":1270},"cp",[1264,1294,1295],{"class":1274}," .env.example",[1264,1297,1298],{"class":1274}," .env\n",[1264,1300,1301,1304,1307,1310],{"class":1266,"line":930},[1264,1302,1303],{"class":1270},"docker",[1264,1305,1306],{"class":1274}," compose",[1264,1308,1309],{"class":1274}," up",[1264,1311,1312],{"class":1283}," -d\n",[1264,1314,1315],{"class":1266,"line":882},[1264,1316,1318],{"class":1317},"sJ8bj","# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[35,1320,1321],{},"硬件门槛（社区共识，非官方硬性要求）：",[90,1323,1324,1330,1336],{},[93,1325,1326,1329],{},[38,1327,1328],{},"最低","：2 核 4G，纯外接 API 模式",[93,1331,1332,1335],{},[38,1333,1334],{},"推荐","：4 核 8G + 至少 30GB 磁盘（向量数据 + 文件存储）",[93,1337,1338,1341],{},[38,1339,1340],{},"企业","：8 核 16G+，单机日活上千",[82,1343,1345],{"id":1344},"真实-tco","真实 TCO",[35,1347,1348],{},"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）：",[252,1350,1351,1364],{},[255,1352,1353],{},[258,1354,1355,1358,1361],{},[261,1356,1357],{},"成本项",[261,1359,1360],{},"云版 Professional",[261,1362,1363],{},"自托管",[271,1365,1366,1377,1387,1398],{},[258,1367,1368,1371,1374],{},[276,1369,1370],{},"平台费",[276,1372,1373],{},"~$2,100（3 年）",[276,1375,1376],{},"$0",[258,1378,1379,1382,1384],{},[276,1380,1381],{},"服务器",[276,1383,1376],{},[276,1385,1386],{},"~$50\u002F月 × 36 = $1,800",[258,1388,1389,1392,1395],{},[276,1390,1391],{},"模型 API",[276,1393,1394],{},"与下同",[276,1396,1397],{},"与上同",[258,1399,1400,1403,1406],{},[276,1401,1402],{},"运维人力",[276,1404,1405],{},"0",[276,1407,1408],{},"约 0.2 人月",[35,1410,1411,1414],{},[38,1412,1413],{},"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。",[23,1416,387],{"id":386},[1256,1418,1420],{"className":1258,"code":1419,"language":1260,"meta":863,"style":863},"# 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",[651,1421,1422,1427,1435,1441,1449,1459,1465,1470,1475,1480,1485,1490,1496,1502],{"__ignoreMap":863},[1264,1423,1424],{"class":1266,"line":1267},[1264,1425,1426],{"class":1317},"# 1. 自托管（社区版）\n",[1264,1428,1429,1431,1433],{"class":1266,"line":867},[1264,1430,1271],{"class":1270},[1264,1432,1275],{"class":1274},[1264,1434,1278],{"class":1274},[1264,1436,1437,1439],{"class":1266,"line":864},[1264,1438,1284],{"class":1283},[1264,1440,1287],{"class":1274},[1264,1442,1443,1445,1447],{"class":1266,"line":930},[1264,1444,1292],{"class":1270},[1264,1446,1295],{"class":1274},[1264,1448,1298],{"class":1274},[1264,1450,1451,1453,1455,1457],{"class":1266,"line":882},[1264,1452,1303],{"class":1270},[1264,1454,1306],{"class":1274},[1264,1456,1309],{"class":1274},[1264,1458,1312],{"class":1283},[1264,1460,1462],{"class":1266,"line":1461},6,[1264,1463,1464],{"emptyLinePlaceholder":897},"\n",[1264,1466,1467],{"class":1266,"line":6},[1264,1468,1469],{"class":1317},"# 2. 浏览器打开 http:\u002F\u002Flocalhost\n",[1264,1471,1472],{"class":1266,"line":9},[1264,1473,1474],{"class":1317},"#    首次会让你创建 admin 账号\n",[1264,1476,1478],{"class":1266,"line":1477},9,[1264,1479,1464],{"emptyLinePlaceholder":897},[1264,1481,1482],{"class":1266,"line":8},[1264,1483,1484],{"class":1317},"# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n",[1264,1486,1488],{"class":1266,"line":1487},11,[1264,1489,1464],{"emptyLinePlaceholder":897},[1264,1491,1493],{"class":1266,"line":1492},12,[1264,1494,1495],{"class":1317},"# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n",[1264,1497,1499],{"class":1266,"line":1498},13,[1264,1500,1501],{"class":1317},"# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n",[1264,1503,1505],{"class":1266,"line":1504},14,[1264,1506,1507],{"class":1317},"# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[23,1509,1510],{"id":1510},"国内使用注意事项",[389,1512,1513,1519,1525,1531],{},[93,1514,1515,1518],{},[38,1516,1517],{},"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",[93,1520,1521,1524],{},[38,1522,1523],{},"自托管 + 国产模型"," = 完全国内闭环，是 Dify 在国内最大优势",[93,1526,1527,1530],{},[38,1528,1529],{},"Docker 镜像拉取","：国内可能慢，建议配 Docker registry 镜像（阿里云 \u002F 网易）",[93,1532,1533,1536,1537,1539],{},[38,1534,1535],{},"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 ",[46,1538,13],{"href":987}," 迁到 Dify",[23,1541,430],{"id":430},[252,1543,1544,1564],{},[255,1545,1546],{},[258,1547,1548,1550,1552,1556,1560],{},[261,1549,263],{},[261,1551,446],{},[261,1553,1554],{},[46,1555,13],{"href":987},[261,1557,1558],{},[46,1559,452],{"href":451},[261,1561,1562],{},[46,1563,776],{"href":775},[271,1565,1566,1579,1591,1604,1616,1629,1643,1656],{},[258,1567,1568,1570,1572,1574,1576],{},[276,1569,465],{},[276,1571,470],{},[276,1573,295],{},[276,1575,470],{},[276,1577,1578],{},"✅（fair-code）",[258,1580,1581,1583,1585,1587,1589],{},[276,1582,479],{},[276,1584,470],{},[276,1586,295],{},[276,1588,470],{},[276,1590,470],{},[258,1592,1593,1595,1597,1600,1602],{},[276,1594,494],{},[276,1596,519],{},[276,1598,1599],{},"★★☆☆☆ 最简单",[276,1601,519],{},[276,1603,513],{},[258,1605,1606,1608,1610,1612,1614],{},[276,1607,510],{},[276,1609,516],{},[276,1611,513],{},[276,1613,519],{},[276,1615,516],{},[258,1617,1618,1620,1622,1624,1626],{},[276,1619,526],{},[276,1621,513],{},[276,1623,519],{},[276,1625,516],{},[276,1627,1628],{},"★★☆☆☆",[258,1630,1631,1634,1636,1638,1641],{},[276,1632,1633],{},"模型生态",[276,1635,516],{},[276,1637,513],{},[276,1639,1640],{},"★★★☆☆（OneAPI 中转）",[276,1642,513],{},[258,1644,1645,1648,1650,1652,1654],{},[276,1646,1647],{},"中文场景",[276,1649,513],{},[276,1651,516],{},[276,1653,513],{},[276,1655,519],{},[258,1657,1658,1661,1663,1666,1668],{},[276,1659,1660],{},"字节生态绑定",[276,1662,295],{},[276,1664,1665],{},"✅（飞书\u002F抖音深度集成）",[276,1667,295],{},[276,1669,295],{},[35,1671,1672,1674,1675,587,1678,1681],{},[38,1673,580],{},"（基于 ",[46,1676,586],{"href":584,"rel":1677},[50],[46,1679,591],{"href":68,"rel":1680},[50]," 两份选型指南综合）：",[90,1683,1684,1690,1697,1703,1710],{},[93,1685,1686,1689],{},[38,1687,1688],{},"数据必须不出内网 + 工作流复杂"," → Dify",[93,1691,1692,605,1695],{},[38,1693,1694],{},"个人 \u002F 小团队 \u002F 快速原型 + 字节生态",[46,1696,13],{"href":987},[93,1698,1699,605,1701],{},[38,1700,612],{},[46,1702,452],{"href":451},[93,1704,1705,605,1708],{},[38,1706,1707],{},"重点是连接外部 SaaS（Slack \u002F Notion \u002F 数据库）",[46,1709,776],{"href":775},[93,1711,1712,605,1715],{},[38,1713,1714],{},"要画图式表达 LangChain pipeline",[46,1716,755],{"href":754},[23,1718,625],{"id":625},[90,1720,1721,1727,1744,1755,1768,1774,1780,1786],{},[93,1722,1723,1726],{},[38,1724,1725],{},"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。",[93,1728,1729,1735,1736,1739,1740,1743],{},[38,1730,1731,1734],{},[651,1732,1733],{},".env"," 文件改完忘 restart","：",[651,1737,1738],{},"docker compose down && up -d","，不是 ",[651,1741,1742],{},"restart","——后者不重新加载 env。",[93,1745,1746,1735,1749,1754],{},[38,1747,1748],{},"大版本升级会破坏数据库 schema",[46,1750,1753],{"href":1751,"rel":1752},"https:\u002F\u002Fdocs.dify.ai\u002Fzh-hans",[50],"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。",[93,1756,1757,1760,1761,1763,1764,1767],{},[38,1758,1759],{},"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 ",[651,1762,1733],{}," 的 ",[651,1765,1766],{},"UPLOAD_FILE_SIZE_LIMIT"," 并重启容器。",[93,1769,1770,1773],{},[38,1771,1772],{},"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。",[93,1775,1776,1779],{},[38,1777,1778],{},"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。",[93,1781,1782,1785],{},[38,1783,1784],{},"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。",[93,1787,1788,1791],{},[38,1789,1790],{},"国内 Docker 拉取镜像慢","：先配国内 registry，否则首次 pull 可能要 30+ 分钟。",[23,1793,703],{"id":702},[35,1795,706],{},[90,1797,1798,1801,1804,1807,1810,1813],{},[93,1799,1800],{},"中大型企业 LLM 中台建设",[93,1802,1803],{},"需要私有化部署（金融 \u002F 医疗 \u002F 政府）",[93,1805,1806],{},"想做\"AI 工作流即产品\"的开发团队",[93,1808,1809],{},"同时需要 RAG + Agent + Workflow 三件套",[93,1811,1812],{},"想用国产模型 + 国际模型混合编排",[93,1814,1815],{},"已经接受 Docker + 一定运维投入",[35,1817,726],{},[90,1819,1820,1826,1832,1835,1841],{},[93,1821,1822,1823,1825],{},"纯个人玩家做对话机器人（",[46,1824,13],{"href":987}," 更快）",[93,1827,1828,1829,1831],{},"只想做企业知识库 QA（",[46,1830,452],{"href":451}," RAG 更专）",[93,1833,1834],{},"团队完全没运维能力（云版还行，自托管会踩坑）",[93,1836,1837,1838,1840],{},"需要深度对接字节飞书 \u002F 抖音（",[46,1839,13],{"href":987}," 原生）",[93,1842,1843,1844,1846],{},"工作流核心是连接 100+ SaaS（",[46,1845,776],{"href":775}," 节点更全）",[23,1848,759],{"id":759},[90,1850,1851,1861,1873,1888],{},[93,1852,764,1853,684,1855,684,1857,684,1859],{},[46,1854,13],{"href":987},[46,1856,452],{"href":451},[46,1858,776],{"href":775},[46,1860,755],{"href":754},[93,1862,1863,1864,684,1866,684,1868,684,1871],{},"概念基础：",[46,1865,783],{"href":782},[46,1867,787],{"href":786},[46,1869,1870],{"href":1139},"MCP",[46,1872,791],{"href":790},[93,1874,1875,1876,684,1880,684,1884,684,1886],{},"模型选型：",[46,1877,1879],{"href":1878},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[46,1881,1883],{"href":1882},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[46,1885,805],{"href":804},[46,1887,813],{"href":812},[93,1889,816,1890,684,1894],{},[46,1891,1893],{"href":1892},"\u002Fwiki\u002Ffine-tuning-vs-rag.html","Fine-tuning vs RAG",[46,1895,824],{"href":823},[23,1897,827],{"id":827},[90,1899,1900,1907,1913,1919,1926],{},[93,1901,1902,1903],{},"官网：",[46,1904,1905],{"href":1905,"rel":1906},"https:\u002F\u002Fdify.ai",[50],[93,1908,1909,1910],{},"中文文档：",[46,1911,1751],{"href":1751,"rel":1912},[50],[93,1914,1915,1916],{},"GitHub：",[46,1917,1251],{"href":1251,"rel":1918},[50],[93,1920,1921,1922],{},"官方定价：",[46,1923,1924],{"href":1924,"rel":1925},"https:\u002F\u002Fdify.ai\u002Fpricing",[50],[93,1927,1928],{},"第三方评测：tooljunction.io \u002F chatforest.com \u002F besthub.dev \u002F joshuaopolko.com \u002F 知乎 LLM 实战笔记",[35,1930,1931,1932,861],{},"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 ",[46,1933,860],{"href":860},[1935,1936,1937],"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":863,"searchDepth":864,"depth":864,"links":1939},[1940,1941,1948,1953,1954,1955,1956,1957,1958,1959],{"id":25,"depth":867,"text":26},{"id":80,"depth":867,"text":80,"children":1942},[1943,1944,1945,1946,1947],{"id":998,"depth":864,"text":999},{"id":1077,"depth":864,"text":1078},{"id":1114,"depth":864,"text":1115},{"id":1132,"depth":864,"text":1133},{"id":1155,"depth":864,"text":1156},{"id":351,"depth":867,"text":351,"children":1949},[1950,1951,1952],{"id":1164,"depth":864,"text":1165},{"id":1245,"depth":864,"text":1246},{"id":1344,"depth":864,"text":1345},{"id":386,"depth":867,"text":387},{"id":1510,"depth":867,"text":1510},{"id":430,"depth":867,"text":430},{"id":625,"depth":867,"text":625},{"id":702,"depth":867,"text":703},{"id":759,"depth":867,"text":759},{"id":827,"depth":867,"text":827},"\u002Fimg\u002Ftools\u002Fdify.webp","Dify 真实评测：开源 LLMOps 平台，工作流编排 + RAG + Agent + MCP 一体，13 万 GitHub star。AIHO 编辑部基于官方文档和社区资料整理，含部署、模型生态、与 Coze \u002F FastGPT 对比、避坑指南。",[888,889,1963],"ja",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fdify",[1967,1968,1969,1303],"windows","macos","linux","云版 SaaS（免费档 \u002F Professional $59\u002F月起） + 开源自托管完全免费",{"power":882,"ux":930,"price":882,"cn_support":930,"stability":930},{"title":446,"description":1961},[1974,1976,1978,1980,1982],{"title":1975,"url":1751},"Dify 官方文档（中文）",{"title":1977,"url":1251},"Dify GitHub",{"title":1979,"url":1924},"Dify 官方定价",{"title":1981,"url":584},"Coze vs Dify vs FastGPT 选型",{"title":1983,"url":1984},"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",[953,1988,1989,1990,955,1991,1992],"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。","gwf4SBsWvfS9N5avQlKJfUT4wN-g6Is5WTUZgZy3AVo",{"id":1996,"title":452,"alternatives":1997,"api_compatible":2000,"body":2002,"category":881,"chinese_friendly":882,"cover":3007,"description":3008,"domestic":885,"extension":886,"faq":3,"free":885,"github":2970,"languages":3009,"meta":3010,"models":3011,"navigation":897,"notSuitable":3015,"opensource":897,"path":3019,"pillar":903,"platforms":3020,"priceTable":3021,"pricing":3043,"published":928,"relatedPlaybooks":3,"relatedReviews":3,"score":3044,"self_host":897,"seo":3045,"slug":16,"sources":3046,"stem":3057,"suitable":3058,"tagline":3064,"tags":3065,"updated":959,"verdict":3069,"website":2964,"__hash__":3070},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt.md",[15,932,1998,1999],"agent\u002Fplatform\u002Fragflow","agent\u002Fplatform\u002Fanythingllm",[2001],"openai",{"type":20,"value":2003,"toc":2989},[2004,2006,2035,2046,2048,2052,2055,2069,2072,2098,2102,2109,2141,2148,2152,2205,2212,2215,2218,2221,2228,2274,2280,2284,2315,2319,2425,2428,2431,2435,2443,2565,2580,2582,2739,2747,2781,2787,2789,2863,2865,2867,2887,2889,2907,2909,2956,2958,2981,2986],[23,2005,26],{"id":25},[28,2007,2009,2024],{"className":2008},[31,32,33],[35,2010,2011,2013,2014,2019,2020,2023],{},[38,2012,40],{}," labring 团队开源的 LLM 知识库 RAG 平台，27k+ GitHub star（截至 2026-03 数据，",[46,2015,2018],{"href":2016,"rel":2017},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2632669",[50],"腾讯云 2026-03 教程"," 引用），Apache 2.0 许可证可商用。",[38,2021,2022],{},"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。",[35,2025,2026,2027,2030,2031,2034],{},"最大价值在 ",[38,2028,2029],{},"国内企业知识库 + 私有部署"," 场景。代价是 ",[38,2032,2033],{},"配置门槛","：docker 基础 + 网络知识 + 一定运维能力。",[73,2036,2037],{},[35,2038,2039,2040,2045],{},"来源说明：本文基于 fastgpt.io 官方页面、github.com\u002Flabring\u002FFastGPT 仓库、",[46,2041,2044],{"href":2042,"rel":2043},"https:\u002F\u002Fwww.nanhuantech.com\u002Fzh\u002Fai-reviews\u002Ffastgpt-2025-review",[50],"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。",[23,2047,80],{"id":80},[82,2049,2051],{"id":2050},"知识库管理核心能力","知识库管理（核心能力）",[35,2053,2054],{},"支持文件类型：",[90,2056,2057,2060,2063,2066],{},[93,2058,2059],{},"文档：PDF \u002F Word \u002F Markdown \u002F TXT \u002F HTML",[93,2061,2062],{},"表格：Excel \u002F CSV",[93,2064,2065],{},"网页：URL 抓取 + 定时同步",[93,2067,2068],{},"API：通过接口推送内容",[35,2070,2071],{},"处理流程：上传 → 文本切分 → 向量化 → 存储 → 可用于问答。支持：",[90,2073,2074,2080,2086,2092],{},[93,2075,2076,2079],{},[38,2077,2078],{},"文件夹分组","：不同主题 \u002F 部门分类",[93,2081,2082,2085],{},[38,2083,2084],{},"多种分块策略","：默认按段落 \u002F 按 token 数 \u002F 自定义",[93,2087,2088,2091],{},[38,2089,2090],{},"批量导入","：脚本化大批量同步",[93,2093,2094,2097],{},[38,2095,2096],{},"定时同步","：网页源自动更新",[82,2099,2101],{"id":2100},"rag-流程编排最强卖点","RAG 流程编排（最强卖点）",[35,2103,2104,2108],{},[46,2105,2107],{"href":2042,"rel":2106},[50],"南环 AI 2026 评测"," 总结的 FastGPT RAG 链路：",[389,2110,2111,2117,2123,2129,2135],{},[93,2112,2113,2116],{},[38,2114,2115],{},"问题预处理","：改写 \u002F 扩展 \u002F 错词纠正（提升召回率）",[93,2118,2119,2122],{},[38,2120,2121],{},"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",[93,2124,2125,2128],{},[38,2126,2127],{},"重排序（Rerank）","：对初步检索结果二次排序，提升相关性",[93,2130,2131,2134],{},[38,2132,2133],{},"上下文组装","：最优 chunk + 问题 → prompt",[93,2136,2137,2140],{},[38,2138,2139],{},"答案生成","：调大模型基于检索结果回答 + 引用标注",[35,2142,2143,2144,2147],{},"每一步都可视化调参，这是 FastGPT 比 Coze \u002F Dify 在 ",[38,2145,2146],{},"纯知识库 QA 精度","上更高的原因。",[82,2149,2151],{"id":2150},"多模型支持不绑定厂商","多模型支持（不绑定厂商）",[252,2153,2154,2164],{},[255,2155,2156],{},[258,2157,2158,2161],{},[261,2159,2160],{},"模型类别",[261,2162,2163],{},"支持",[271,2165,2166,2174,2181,2189,2197],{},[258,2167,2168,2171],{},[276,2169,2170],{},"国产闭源",[276,2172,2173],{},"豆包 \u002F 通义千问 \u002F 文心一言 \u002F 智谱 GLM \u002F Moonshot Kimi \u002F MiniMax",[258,2175,2176,2178],{},[276,2177,465],{},[276,2179,2180],{},"LLaMA \u002F Qwen \u002F ChatGLM \u002F DeepSeek 等可自部署",[258,2182,2183,2186],{},[276,2184,2185],{},"OpenAI 系",[276,2187,2188],{},"GPT-5 \u002F GPT-5 mini \u002F o3",[258,2190,2191,2194],{},[276,2192,2193],{},"Claude 系",[276,2195,2196],{},"Sonnet 4 \u002F Opus 4 \u002F Haiku",[258,2198,2199,2202],{},[276,2200,2201],{},"嵌入 \u002F 重排",[276,2203,2204],{},"BGE \u002F m3e \u002F OpenAI text-embedding-3",[35,2206,2207,2208,2211],{},"可以在 ",[38,2209,2210],{},"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。",[82,2213,2214],{"id":2214},"工作流与高级编排",[35,2216,2217],{},"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。",[82,2219,2220],{"id":2220},"多向量库选择",[35,2222,2223,2227],{},[46,2224,2226],{"href":2016,"rel":2225},[50],"腾讯云教程"," 公开的 4 种向量后端：",[252,2229,2230,2240],{},[255,2231,2232],{},[258,2233,2234,2237],{},[261,2235,2236],{},"后端",[261,2238,2239],{},"适用",[271,2241,2242,2250,2258,2266],{},[258,2243,2244,2247],{},[276,2245,2246],{},"PgVector",[276,2248,2249],{},"5000 万索引以下，新手 \u002F 小规模",[258,2251,2252,2255],{},[276,2253,2254],{},"Milvus",[276,2256,2257],{},"亿级以上，高性能",[258,2259,2260,2263],{},[276,2261,2262],{},"Zilliz Cloud",[276,2264,2265],{},"Milvus 全托管 SaaS",[258,2267,2268,2271],{},[276,2269,2270],{},"SeekDB \u002F OceanBase",[276,2272,2273],{},"企业级国产化",[35,2275,2276,2277,348],{},"部署时选对应 ",[651,2278,2279],{},"docker-compose.{pgvector|milvus|...}.yml",[82,2281,2283],{"id":2282},"api-与-mcp","API 与 MCP",[90,2285,2286,2292,2298,2309],{},[93,2287,2288,2291],{},[38,2289,2290],{},"对话 API","：流式 \u002F 非流式 HTTP，OpenAI 兼容",[93,2293,2294,2297],{},[38,2295,2296],{},"知识库检索 API","：单独调检索（不走生成）做 hybrid pipeline",[93,2299,2300,2303,2304,2308],{},[38,2301,2302],{},"MCP Server","：3005 端口暴露 MCP SSE 服务，可被 ",[46,2305,2307],{"href":2306},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code"," 等客户端直接接入",[93,2310,2311,2314],{},[38,2312,2313],{},"Webhook","：回调通知",[23,2316,2318],{"id":2317},"部署-10-分钟docker","部署 10 分钟（Docker）",[1256,2320,2322],{"className":1258,"code":2321,"language":1260,"meta":863,"style":863},"# 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",[651,2323,2324,2329,2338,2345,2349,2354,2367,2371,2376,2383,2391,2395,2400,2415,2419],{"__ignoreMap":863},[1264,2325,2326],{"class":1266,"line":1267},[1264,2327,2328],{"class":1317},"# 克隆代码\n",[1264,2330,2331,2333,2335],{"class":1266,"line":867},[1264,2332,1271],{"class":1270},[1264,2334,1275],{"class":1274},[1264,2336,2337],{"class":1274}," https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\n",[1264,2339,2340,2342],{"class":1266,"line":864},[1264,2341,1284],{"class":1283},[1264,2343,2344],{"class":1274}," FastGPT\n",[1264,2346,2347],{"class":1266,"line":930},[1264,2348,1464],{"emptyLinePlaceholder":897},[1264,2350,2351],{"class":1266,"line":882},[1264,2352,2353],{"class":1317},"# 切到最新稳定版（参考 GitHub releases）\n",[1264,2355,2356,2358,2361,2364],{"class":1266,"line":1461},[1264,2357,1271],{"class":1270},[1264,2359,2360],{"class":1274}," switch",[1264,2362,2363],{"class":1283}," -c",[1264,2365,2366],{"class":1283}," 4.14.7.2\n",[1264,2368,2369],{"class":1266,"line":6},[1264,2370,1464],{"emptyLinePlaceholder":897},[1264,2372,2373],{"class":1266,"line":9},[1264,2374,2375],{"class":1317},"# 选向量库版本（个人 \u002F 小规模选 pg）\n",[1264,2377,2378,2380],{"class":1266,"line":1477},[1264,2379,1284],{"class":1283},[1264,2381,2382],{"class":1274}," deploy\u002Fdocker\u002Fcn\n",[1264,2384,2385,2388],{"class":1266,"line":8},[1264,2386,2387],{"class":1270},"wget",[1264,2389,2390],{"class":1274}," https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n",[1264,2392,2393],{"class":1266,"line":1487},[1264,2394,1464],{"emptyLinePlaceholder":897},[1264,2396,2397],{"class":1266,"line":1492},[1264,2398,2399],{"class":1317},"# 启动\n",[1264,2401,2402,2405,2408,2411,2413],{"class":1266,"line":1498},[1264,2403,2404],{"class":1270},"docker-compose",[1264,2406,2407],{"class":1283}," -f",[1264,2409,2410],{"class":1274}," docker-compose.pg.yml",[1264,2412,1309],{"class":1274},[1264,2414,1312],{"class":1283},[1264,2416,2417],{"class":1266,"line":1504},[1264,2418,1464],{"emptyLinePlaceholder":897},[1264,2420,2422],{"class":1266,"line":2421},15,[1264,2423,2424],{"class":1317},"# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[35,2426,2427],{},"最低配置：2C4G + 20GB 硬盘 + Docker 28+ + Docker Compose 2.20+。",[35,2429,2430],{},"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。",[23,2432,2434],{"id":2433},"云版-vs-自托管对比","云版 vs 自托管对比",[35,2436,2437,2442],{},[46,2438,2441],{"href":2439,"rel":2440},"https:\u002F\u002Ffastgpt.io\u002Fzh\u002Fprice",[50],"fastgpt.io 官方定价"," 公开数据：",[252,2444,2445,2470],{},[255,2446,2447],{},[258,2448,2449,2451,2453,2456,2459,2462,2464,2467],{},[261,2450,1183],{},[261,2452,1186],{},[261,2454,2455],{},"AI 积分",[261,2457,2458],{},"知识库索引",[261,2460,2461],{},"团队",[261,2463,1039],{},[261,2465,2466],{},"知识库",[261,2468,2469],{},"QPM",[271,2471,2472,2496,2521,2545],{},[258,2473,2474,2476,2478,2481,2484,2487,2490,2493],{},[276,2475,1199],{},[276,2477,909],{},[276,2479,2480],{},"100",[276,2482,2483],{},"600",[276,2485,2486],{},"1",[276,2488,2489],{},"10",[276,2491,2492],{},"3",[276,2494,2495],{},"30",[258,2497,2498,2501,2504,2507,2510,2513,2516,2518],{},[276,2499,2500],{},"基础",[276,2502,2503],{},"¥99\u002F月",[276,2505,2506],{},"4000",[276,2508,2509],{},"6000",[276,2511,2512],{},"5",[276,2514,2515],{},"50",[276,2517,2495],{},[276,2519,2520],{},"300",[258,2522,2523,2526,2529,2532,2535,2537,2540,2542],{},[276,2524,2525],{},"高级",[276,2527,2528],{},"¥599\u002F月",[276,2530,2531],{},"25000",[276,2533,2534],{},"36000",[276,2536,2515],{},[276,2538,2539],{},"200",[276,2541,2480],{},[276,2543,2544],{},"1500",[258,2546,2547,2550,2552,2555,2557,2559,2561,2563],{},[276,2548,2549],{},"定制",[276,2551,919],{},[276,2553,2554],{},"弹性",[276,2556,2554],{},[276,2558,2554],{},[276,2560,2554],{},[276,2562,2554],{},[276,2564,2554],{},[35,2566,2567,2570,2571,2574,2575,2579],{},[38,2568,2569],{},"云版适合","：不想运维、量小、要快速上线\n",[38,2572,2573],{},"自托管适合","：量大（10 万+ 日问答）、数据敏感、要深度定制——按 ",[46,2576,2578],{"href":2042,"rel":2577},[50],"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\"",[23,2581,430],{"id":430},[252,2583,2584,2606],{},[255,2585,2586],{},[258,2587,2588,2590,2592,2596,2600,2603],{},[261,2589,263],{},[261,2591,452],{},[261,2593,2594],{},[46,2595,446],{"href":445},[261,2597,2598],{},[46,2599,13],{"href":987},[261,2601,2602],{},"RAGFlow",[261,2604,2605],{},"AnythingLLM",[271,2607,2608,2628,2644,2659,2676,2691,2708,2723],{},[258,2609,2610,2613,2616,2619,2622,2625],{},[276,2611,2612],{},"核心定位",[276,2614,2615],{},"知识库 QA",[276,2617,2618],{},"综合 LLMOps",[276,2620,2621],{},"Bot + 工作流",[276,2623,2624],{},"文档解析+RAG",[276,2626,2627],{},"桌面级 KB",[258,2629,2630,2632,2635,2637,2639,2641],{},[276,2631,465],{},[276,2633,2634],{},"✅ Apache 2.0",[276,2636,2634],{},[276,2638,295],{},[276,2640,2634],{},[276,2642,2643],{},"✅ MIT",[258,2645,2646,2648,2651,2653,2655,2657],{},[276,2647,479],{},[276,2649,2650],{},"★★★★★ docker",[276,2652,516],{},[276,2654,482],{},[276,2656,513],{},[276,2658,516],{},[258,2660,2661,2664,2667,2669,2671,2674],{},[276,2662,2663],{},"RAG 深度",[276,2665,2666],{},"★★★★★ 最细",[276,2668,513],{},[276,2670,519],{},[276,2672,2673],{},"★★★★★ 文档解析最强",[276,2675,519],{},[258,2677,2678,2681,2683,2685,2687,2689],{},[276,2679,2680],{},"工作流",[276,2682,513],{},[276,2684,516],{},[276,2686,513],{},[276,2688,519],{},[276,2690,1628],{},[258,2692,2693,2696,2699,2701,2704,2706],{},[276,2694,2695],{},"上手",[276,2697,2698],{},"★★★☆☆ 需 docker",[276,2700,513],{},[276,2702,2703],{},"★★★★★ 最简单",[276,2705,519],{},[276,2707,513],{},[258,2709,2710,2713,2715,2717,2719,2721],{},[276,2711,2712],{},"中文优化",[276,2714,516],{},[276,2716,513],{},[276,2718,516],{},[276,2720,513],{},[276,2722,519],{},[258,2724,2725,2728,2731,2733,2735,2737],{},[276,2726,2727],{},"多平台发布",[276,2729,2730],{},"⚠️ API 为主",[276,2732,513],{},[276,2734,516],{},[276,2736,489],{},[276,2738,489],{},[35,2740,2741,581,2743,113],{},[38,2742,580],{},[46,2744,2746],{"href":2042,"rel":2745},[50],"南环 AI 评测",[90,2748,2749,2755,2762,2769,2775],{},[93,2750,2751,2754],{},[38,2752,2753],{},"核心需求是 RAG 精度"," → FastGPT",[93,2756,2757,605,2760],{},[38,2758,2759],{},"需要丰富插件 + 复杂工作流 + 多平台发布",[46,2761,446],{"href":445},[93,2763,2764,605,2767],{},[38,2765,2766],{},"零代码、快速发布到飞书 \u002F 微信",[46,2768,13],{"href":987},[93,2770,2771,2774],{},[38,2772,2773],{},"文档解析（含 OCR \u002F 表格 \u002F 公式）是瓶颈"," → RAGFlow",[93,2776,2777,2780],{},[38,2778,2779],{},"桌面 \u002F 单机使用"," → AnythingLLM",[35,2782,2783,2786],{},[38,2784,2785],{},"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。",[23,2788,625],{"id":625},[90,2790,2791,2804,2813,2819,2829,2841,2847,2853],{},[93,2792,2793,1735,2796,2799,2800,2803],{},[38,2794,2795],{},"docker-compose 镜像 tag 不一致",[46,2797,2226],{"href":2016,"rel":2798},[50]," 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 ",[651,2801,2802],{},"image:"," 行为正确版本即可",[93,2805,2806,2809,2810,2812],{},[38,2807,2808],{},"3000 端口冲突","：默认占用 3000（主服务）\u002F 9000（S3 \u002F MinIO）\u002F 3005（MCP）；改 ",[651,2811,2404],{}," 的 ports 映射端口",[93,2814,2815,2818],{},[38,2816,2817],{},"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",[93,2820,2821,2824,2825,2828],{},[38,2822,2823],{},"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 ",[46,2826,2578],{"href":2042,"rel":2827},[50],"：\"新手 \u002F 小规模 PgVector，中大规模 Milvus，企业 \u002F 国产 OceanBase\"",[93,2830,2831,1735,2834,2837,2838],{},[38,2832,2833],{},"MinIO 默认密码",[651,2835,2836],{},"minioadmin\u002Fminioadmin","，",[38,2839,2840],{},"部署到公网前必须改",[93,2842,2843,2846],{},[38,2844,2845],{},"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\"",[93,2848,2849,2852],{},[38,2850,2851],{},"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",[93,2854,2855,2858,2859,659],{},[38,2856,2857],{},"云版 AI 积分会过期","：未用完不能跨月累积（按 ",[46,2860,2862],{"href":2439,"rel":2861},[50],"fastgpt.io 定价 FAQ",[23,2864,703],{"id":702},[35,2866,706],{},[90,2868,2869,2872,2875,2878,2881,2884],{},[93,2870,2871],{},"企业内部知识库（员工手册 \u002F 制度 \u002F 流程）",[93,2873,2874],{},"产品 FAQ \u002F 用户手册问答",[93,2876,2877],{},"医疗 \u002F 法律 \u002F 金融垂直领域知识系统",[93,2879,2880],{},"数据严格不出网 + Apache 2.0 商用",[93,2882,2883],{},"有 docker 运维基础的技术团队",[93,2885,2886],{},"需要把 RAG 当后端服务的开发者（API 接入业务系统）",[35,2888,726],{},[90,2890,2891,2896,2901,2904],{},[93,2892,2893,2894,659],{},"完全非技术用户（去 ",[46,2895,13],{"href":987},[93,2897,2898,2899,659],{},"主要需求是工作流 + 插件集成（去 ",[46,2900,446],{"href":445},[93,2902,2903],{},"文档解析 \u002F OCR 是首要痛点（RAGFlow）",[93,2905,2906],{},"不想自己运维 + 量很小（FastGPT 云免费版起步即可）",[23,2908,759],{"id":759},[90,2910,2911,2920,2936,2950],{},[93,2912,764,2913,684,2915,2917,2918],{},[46,2914,446],{"href":445},[46,2916,13],{"href":987}," \u002F RAGFlow \u002F AnythingLLM \u002F ",[46,2919,776],{"href":775},[93,2921,779,2922,684,2924,684,2928,684,2931,684,2934],{},[46,2923,787],{"href":786},[46,2925,2927],{"href":2926},"\u002Fwiki\u002Fembedding.html","Embedding",[46,2929,2930],{"href":2926},"Vector Database",[46,2932,2933],{"href":786},"Reranker",[46,2935,783],{"href":782},[93,2937,797,2938,684,2940,684,2942,684,2944,684,2948],{},[46,2939,805],{"href":804},[46,2941,809],{"href":808},[46,2943,813],{"href":812},[46,2945,2947],{"href":2946},"\u002Fmodels\u002Fkimi-k2.html","Kimi K2",[46,2949,801],{"href":800},[93,2951,816,2952,684,2954],{},[46,2953,824],{"href":823},[46,2955,820],{"href":819},[23,2957,827],{"id":827},[90,2959,2960,2966,2972,2978],{},[93,2961,1902,2962],{},[46,2963,2964],{"href":2964,"rel":2965},"https:\u002F\u002Ffastgpt.io",[50],[93,2967,1915,2968],{},[46,2969,2970],{"href":2970,"rel":2971},"https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT",[50],[93,2973,2974,2975],{},"定价：",[46,2976,2439],{"href":2439,"rel":2977},[50],[93,2979,2980],{},"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",[35,2982,2983,2984,861],{},"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 ",[46,2985,860],{"href":860},[1935,2987,2988],{},"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":863,"searchDepth":864,"depth":864,"links":2990},[2991,2992,3000,3001,3002,3003,3004,3005,3006],{"id":25,"depth":867,"text":26},{"id":80,"depth":867,"text":80,"children":2993},[2994,2995,2996,2997,2998,2999],{"id":2050,"depth":864,"text":2051},{"id":2100,"depth":864,"text":2101},{"id":2150,"depth":864,"text":2151},{"id":2214,"depth":864,"text":2214},{"id":2220,"depth":864,"text":2220},{"id":2282,"depth":864,"text":2283},{"id":2317,"depth":867,"text":2318},{"id":2433,"depth":867,"text":2434},{"id":430,"depth":867,"text":430},{"id":625,"depth":867,"text":625},{"id":702,"depth":867,"text":703},{"id":759,"depth":867,"text":759},{"id":827,"depth":867,"text":827},"\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。",[888,889],{},[893,894,892,3012,3013,3014],"gpt-4o","claude-sonnet-4","kimi",[3016,3017,3018],"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",[1967,1968,1969],[3022,3026,3031,3035,3039],{"plan":3023,"price":1199,"limit":3024,"cn_pay":911,"note":3025},"Self-host 开源","全功能 + 全数据本地","Apache 2.0 可商用",{"plan":3027,"price":3028,"limit":3029,"cn_pay":911,"note":3030},"云免费版","¥0\u002F月","100 AI 积分 + 600 索引 + 3 知识库","试水",{"plan":3032,"price":2503,"limit":3033,"cn_pay":916,"note":3034},"云基础版","4000 积分 + 6000 索引 + 50 Agent","中小团队 SaaS",{"plan":3036,"price":2528,"limit":3037,"cn_pay":470,"note":3038},"云高级版","25000 积分 + 36000 索引 + 50 成员 + 200 Agent + 1500 QPM","企业级生产",{"plan":3040,"price":919,"limit":3041,"cn_pay":470,"note":3042},"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",{"power":930,"ux":930,"price":882,"cn_support":882,"stability":930},{"title":452,"description":3008},[3047,3049,3051,3053,3055],{"title":3048,"url":2964},"FastGPT 官网",{"title":3050,"url":2970},"FastGPT GitHub",{"title":3052,"url":2439},"FastGPT 定价页",{"title":3054,"url":2042},"FastGPT 2025 测评（南环 AI）",{"title":3056,"url":2016},"FastGPT 部署教程（腾讯云）","tools\u002Fagent\u002Fplatform\u002Ffastgpt",[3059,3060,3061,3062,3063],"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",[953,1988,1989,1990,3066,3067,3068],"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。","3Y-t3FufM7dDfe0ULmUOTcEtW1ydhA6kARH98gHmn7E",{"id":3072,"title":755,"alternatives":3073,"api_compatible":3,"body":3082,"category":881,"chinese_friendly":864,"cover":3646,"description":3647,"domestic":885,"extension":886,"faq":3648,"free":885,"github":3,"languages":3661,"meta":3663,"models":3,"navigation":897,"notSuitable":3,"opensource":897,"path":3664,"pillar":903,"platforms":3665,"priceTable":3667,"pricing":3680,"published":3681,"relatedPlaybooks":3682,"relatedReviews":3,"score":3686,"self_host":897,"seo":3687,"slug":966,"sources":3688,"stem":3698,"suitable":3,"tagline":3699,"tags":3700,"updated":959,"verdict":3704,"website":3691,"__hash__":3705},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow.md",[3074,3076,3079],{"name":776,"url":3075},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n",{"name":3077,"url":3078},"composio","\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio",{"name":3080,"url":3081},"openmanus","\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",{"type":20,"value":3083,"toc":3634},[3084,3086,3089,3092,3095,3169,3171,3196,3201,3205,3210,3236,3241,3267,3269,3325,3328,3351,3354,3495,3498,3553,3555,3581,3583,3600,3602,3632],[23,3085,26],{"id":25},[35,3087,3088],{},"Langflow 是 2023 开源、2024 被 DataStax 收购的可视化 LangChain 画布。20,000+ GitHub stars、MIT 协议、Python 实现、与 Astra DB 向量库深度集成。差异点：拖拽式画布把 LangChain primitive 映射成节点 + RAG pipeline 原生组件 + 多 agent 工作流 + 节点可下钻到 Python 代码 + 自托管 \u002F Docker \u002F DataStax Astra 云托管 + Pinecone \u002F pgvector \u002F 主流向量库适配 + Visual GUI for building LangChain pipelines。Self-host 免费 \u002F Cloud Free + Paid ~$25\u002F月起。",[35,3090,3091],{},"适合：工程团队要可视化建 LangChain 流 + 不被 SaaS 锁住；合规 \u002F 数据驻留要求自托管；要 Astra DB 一站式 RAG；想用 LangChain 但讨厌纯代码协作。不适合：业务侧 + 非工程师（用 Dify \u002F Coze）；纯无代码偏好（Langflow 仍要懂 LangChain 概念）；轻量场景 + 不需要画布（直接写 LangChain 代码）。",[23,3093,3094],{"id":3094},"核心能力",[90,3096,3097,3103,3109,3115,3121,3127,3133,3139,3145,3151,3157,3163],{},[93,3098,3099,3102],{},[38,3100,3101],{},"可视化 LangChain 画布","：节点 = primitive，连线 = 数据流",[93,3104,3105,3108],{},[38,3106,3107],{},"RAG pipeline 原生组件","：Chunking \u002F Embedding \u002F VectorStore \u002F Retriever",[93,3110,3111,3114],{},[38,3112,3113],{},"多 agent 工作流","：编排多 agent 协作",[93,3116,3117,3120],{},[38,3118,3119],{},"Python 下钻","：任意节点可写 custom Python",[93,3122,3123,3126],{},[38,3124,3125],{},"向量库适配","：Astra DB \u002F Pinecone \u002F pgvector \u002F Weaviate \u002F Chroma",[93,3128,3129,3132],{},[38,3130,3131],{},"API 部署","：流程一键导出为 REST API",[93,3134,3135,3138],{},[38,3136,3137],{},"Real-time collaboration","：多用户同 project",[93,3140,3141,3144],{},[38,3142,3143],{},"版本控制","：内置 versioning + revert",[93,3146,3147,3150],{},[38,3148,3149],{},"数据可视化","：node output \u002F data flow 可视化调试",[93,3152,3153,3156],{},[38,3154,3155],{},"角色权限","：user auth + RBAC",[93,3158,3159,3162],{},[38,3160,3161],{},"Docker \u002F pip 安装","：5 分钟启动",[93,3164,3165,3168],{},[38,3166,3167],{},"Astra-hosted cloud","：DataStax 托管选项",[23,3170,1186],{"id":1186},[90,3172,3173,3179,3185,3191],{},[93,3174,3175,3178],{},[38,3176,3177],{},"Self-Host (OSS)","：$0；MIT 完全免费，自付 LLM API + 服务器",[93,3180,3181,3184],{},[38,3182,3183],{},"Cloud Free","：$0；DataStax Astra-hosted 小流量",[93,3186,3187,3190],{},[38,3188,3189],{},"Cloud Paid","：~$25\u002F月起；Astra DB + 更高额度 + 团队协作",[93,3192,3193,3195],{},[38,3194,1229],{},"：联系销售；SSO + audit + 私有部署 + SLA",[73,3197,3198],{},[35,3199,3200],{},"自托管最低成本：$5-10\u002F月 VPS + LLM API token。Cloud Paid $25\u002F月适合不想运维的小团队。",[23,3202,3204],{"id":3203},"实测rag-应用-内部工具搭建","实测（RAG 应用 + 内部工具搭建）",[35,3206,3207],{},[38,3208,3209],{},"亮点：",[90,3211,3212,3215,3218,3221,3224,3227,3230,3233],{},[93,3213,3214],{},"画布直观，比纯写 LangChain 协作效率高 5x",[93,3216,3217],{},"节点下钻到 Python 让灵活度不被画布限制",[93,3219,3220],{},"Astra DB 集成省了配 vector store 时间",[93,3222,3223],{},"4.4\u002F5 用户评分（Propicked \u002F Tooliverse）",[93,3225,3226],{},"开源 + 自托管 + 数据驻留满足合规",[93,3228,3229],{},"多 agent 编排比裸 LangChain 调试容易",[93,3231,3232],{},"RAG pipeline 模板一键起 demo",[93,3234,3235],{},"与 DataStax 长期支持降低 abandon ware 风险",[35,3237,3238],{},[38,3239,3240],{},"踩坑：",[90,3242,3243,3246,3249,3252,3255,3258,3261,3264],{},[93,3244,3245],{},"稳定性偶发：复杂流大流量下 node 偶尔失联（SelectHub 反馈）",[93,3247,3248],{},"第三方 API 依赖：external API 失败时错误处理弱",[93,3250,3251],{},"production readiness 不算 mission-critical（要自加 observability）",[93,3253,3254],{},"LangChain 升级偶尔 break 旧 flow",[93,3256,3257],{},"文档对新组件滞后 1-2 月",[93,3259,3260],{},"中文 UI 不完整，业务侧用户上手陡",[93,3262,3263],{},"大型 flow（100+ 节点）画布卡顿",[93,3265,3266],{},"多人协作偶发同步冲突",[23,3268,2695],{"id":2695},[1256,3270,3272],{"className":1258,"code":3271,"language":1260,"meta":863,"style":863},"# pip 安装\npip install langflow\nlangflow run  # http:\u002F\u002Flocalhost:7860\n\n# 或 Docker\ndocker run -p 7860:7860 langflowai\u002Flangflow:latest\n",[651,3273,3274,3279,3290,3301,3305,3310],{"__ignoreMap":863},[1264,3275,3276],{"class":1266,"line":1267},[1264,3277,3278],{"class":1317},"# pip 安装\n",[1264,3280,3281,3284,3287],{"class":1266,"line":867},[1264,3282,3283],{"class":1270},"pip",[1264,3285,3286],{"class":1274}," install",[1264,3288,3289],{"class":1274}," langflow\n",[1264,3291,3292,3295,3298],{"class":1266,"line":864},[1264,3293,3294],{"class":1270},"langflow",[1264,3296,3297],{"class":1274}," run",[1264,3299,3300],{"class":1317},"  # http:\u002F\u002Flocalhost:7860\n",[1264,3302,3303],{"class":1266,"line":930},[1264,3304,1464],{"emptyLinePlaceholder":897},[1264,3306,3307],{"class":1266,"line":882},[1264,3308,3309],{"class":1317},"# 或 Docker\n",[1264,3311,3312,3314,3316,3319,3322],{"class":1266,"line":1461},[1264,3313,1303],{"class":1270},[1264,3315,3297],{"class":1274},[1264,3317,3318],{"class":1283}," -p",[1264,3320,3321],{"class":1274}," 7860:7860",[1264,3323,3324],{"class":1274}," langflowai\u002Flangflow:latest\n",[35,3326,3327],{},"试 RAG 流：",[389,3329,3330,3333,3336,3339,3342,3345,3348],{},[93,3331,3332],{},"新建 flow → 选 Document QA 模板",[93,3334,3335],{},"Document Loader 节点 → 上传 PDF",[93,3337,3338],{},"Splitter → Embedder（OpenAI 或本地）",[93,3340,3341],{},"VectorStore（Astra \u002F Chroma）",[93,3343,3344],{},"Retriever + ChatOpenAI → Chat Output",[93,3346,3347],{},"部署为 API → 拿到 endpoint",[93,3349,3350],{},"复杂场景下钻节点写 Python 自定义",[23,3352,3353],{"id":3353},"对比",[252,3355,3356,3371],{},[255,3357,3358],{},[258,3359,3360,3362,3364,3366,3368],{},[261,3361,263],{},[261,3363,755],{},[261,3365,446],{},[261,3367,776],{},[261,3369,3370],{},"Flowise",[271,3372,3373,3390,3404,3418,3432,3448,3461,3478],{},[258,3374,3375,3378,3381,3384,3387],{},[276,3376,3377],{},"中心",[276,3379,3380],{},"LangChain primitive",[276,3382,3383],{},"LLMOps 全平台",[276,3385,3386],{},"通用 workflow",[276,3388,3389],{},"LangChain（JS）",[258,3391,3392,3394,3396,3399,3402],{},[276,3393,465],{},[276,3395,2643],{},[276,3397,3398],{},"✅ AGPL",[276,3400,3401],{},"✅ Sustainable",[276,3403,2643],{},[258,3405,3406,3408,3411,3414,3416],{},[276,3407,1363],{},[276,3409,3410],{},"✅ pip\u002FDocker",[276,3412,3413],{},"✅ Docker",[276,3415,3413],{},[276,3417,470],{},[258,3419,3420,3423,3426,3428,3430],{},[276,3421,3422],{},"可视化",[276,3424,3425],{},"✅ 旗舰",[276,3427,470],{},[276,3429,470],{},[276,3431,470],{},[258,3433,3434,3437,3440,3443,3446],{},[276,3435,3436],{},"代码下钻",[276,3438,3439],{},"✅ Python",[276,3441,3442],{},"部分",[276,3444,3445],{},"✅ JS",[276,3447,3445],{},[258,3449,3450,3453,3455,3457,3459],{},[276,3451,3452],{},"RAG 内置",[276,3454,470],{},[276,3456,470],{},[276,3458,3442],{},[276,3460,470],{},[258,3462,3463,3466,3469,3472,3475],{},[276,3464,3465],{},"起价（云）",[276,3467,3468],{},"$25\u002F月",[276,3470,3471],{},"$59\u002F月（Team）",[276,3473,3474],{},"自托管 $0",[276,3476,3477],{},"–",[258,3479,3480,3483,3486,3489,3492],{},[276,3481,3482],{},"适合",[276,3484,3485],{},"工程 + LangChain",[276,3487,3488],{},"业务 + LLMOps",[276,3490,3491],{},"通用自动化",[276,3493,3494],{},"JS 生态",[23,3496,3497],{"id":3497},"避坑",[90,3499,3500,3506,3512,3518,3524,3530,3536,3542,3547],{},[93,3501,3502,3505],{},[38,3503,3504],{},"自托管推荐 Docker","：pip 版本依赖冲突难调",[93,3507,3508,3511],{},[38,3509,3510],{},"生产加 observability","：langsmith \u002F sentry \u002F prometheus 必装",[93,3513,3514,3517],{},[38,3515,3516],{},"Astra DB cloud free","：起步够用，付费版起步前算清成本",[93,3519,3520,3523],{},[38,3521,3522],{},"复杂 flow 拆模块","：100+ 节点画布卡顿，拆成子 flow",[93,3525,3526,3529],{},[38,3527,3528],{},"LangChain 版本 pin","：Langflow 升级前测试 flow 兼容性",[93,3531,3532,3535],{},[38,3533,3534],{},"第三方 API 加重试","：custom Python 节点写 retry + fallback",[93,3537,3538,3541],{},[38,3539,3540],{},"多人协作 lock","：同时编辑 flow 容易冲突，加 lock 流程",[93,3543,3544,3546],{},[38,3545,1647],{},"：UI 英文为主，业务侧用户先培训",[93,3548,3549,3552],{},[38,3550,3551],{},"Self-host vs Cloud","：合规要 self-host，省心要 Cloud",[23,3554,703],{"id":702},[90,3556,3557,3560,3563,3566,3569,3572,3575,3578],{},[93,3558,3559],{},"✅ 工程团队要可视化建 LangChain 流",[93,3561,3562],{},"✅ 合规 \u002F 数据驻留要求自托管",[93,3564,3565],{},"✅ 要 Astra DB 一站式 RAG",[93,3567,3568],{},"✅ Python 团队 + 想画布 + 想下钻代码",[93,3570,3571],{},"❌ 业务侧 + 非工程师（用 Dify \u002F Coze）",[93,3573,3574],{},"❌ 纯无代码偏好",[93,3576,3577],{},"❌ 轻量场景 + 直接写 LangChain 更快",[93,3579,3580],{},"❌ JS 生态优先（用 Flowise）",[23,3582,759],{"id":759},[90,3584,3585,3590,3595],{},[93,3586,3587],{},[46,3588,3589],{"href":3075},"n8n 评测",[93,3591,3592],{},[46,3593,3594],{"href":3078},"Composio 评测",[93,3596,3597],{},[46,3598,3599],{"href":3081},"OpenManus 评测",[23,3601,827],{"id":827},[389,3603,3604,3611,3618,3625],{},[93,3605,3606,3607],{},"Langflow 官网 + 定价 ",[46,3608,3609],{"href":3609,"rel":3610},"https:\u002F\u002Fwww.langflow.org\u002Fpricing",[50],[93,3612,3613,3614],{},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison ",[46,3615,3616],{"href":3616,"rel":3617},"https:\u002F\u002Fautomationatlas.io\u002Ftools\u002Flangflow",[50],[93,3619,3620,3621],{},"xpay — LangFlow 2026 Visual AI Agent Builder（MIT + DataStax）",[46,3622,3623],{"href":3623,"rel":3624},"https:\u002F\u002Fwww.xpay.sh\u002Fresources\u002Fagentic-frameworks\u002Flangflow",[50],[93,3626,3627,3628],{},"SelectHub — LangFlow Reviews 2026（稳定性 + 生产 readiness）",[46,3629,3630],{"href":3630,"rel":3631},"https:\u002F\u002Fwww.selecthub.com\u002Fp\u002Fai-agent-builder-software\u002Flangflow\u002F",[50],[1935,3633,2988],{},{"title":863,"searchDepth":864,"depth":864,"links":3635},[3636,3637,3638,3639,3640,3641,3642,3643,3644,3645],{"id":25,"depth":867,"text":26},{"id":3094,"depth":867,"text":3094},{"id":1186,"depth":867,"text":1186},{"id":3203,"depth":867,"text":3204},{"id":2695,"depth":867,"text":2695},{"id":3353,"depth":867,"text":3353},{"id":3497,"depth":867,"text":3497},{"id":702,"depth":867,"text":703},{"id":759,"depth":867,"text":759},{"id":827,"depth":867,"text":827},"\u002Fimg\u002Ftools\u002Flangflow.webp","Langflow 真实评测：2023 开源项目，2024 被 DataStax 收购，与 Astra DB 向量数据库平台深度集成。20,000+ GitHub stars、MIT 协议。差异点：拖拽式可视化画布映射 LangChain 原语 + RAG pipeline 原生组件 + 多 agent 工作流 + Python + 自托管（pip \u002F Docker）+ DataStax Astra 托管云 + Pinecone \u002F pgvector \u002F 主流向量库适配。Cloud 免费档 + 约 $25\u002F月起。",[3649,3652,3655,3658],{"q":3650,"a":3651},"Langflow 和 Dify \u002F n8n \u002F Flowise 怎么选？","Langflow 强『可视化 LangChain 原语 + Python 代码可下钻 + 自托管 + Astra DB 集成』，工程导向。Dify 是 LLMOps 全平台（含 dataset \u002F app \u002F observability），业务侧更友好。n8n 是通用 workflow（非 LangChain 中心），70+ LangChain 节点是后加的。Flowise 是 Langflow 的同类竞品（JS 生态）。工程团队 + Python + 合规自托管 → Langflow；业务 + 完整 LLMOps → Dify；通用自动化 → n8n。",{"q":3653,"a":3654},"为什么被 DataStax 收购？","DataStax 是 Cassandra 商业公司 + Astra DB 向量数据库厂商。收购 Langflow 是为了把『可视化 LangChain builder』和『生产级 vector store』捆成一站式 RAG 解决方案。Langflow 主仓仍是 MIT 开源，但 cloud \u002F 企业版深度依赖 Astra。",{"q":3656,"a":3657},"可视化画布会不会限制灵活度？","Langflow 节点对应 LangChain primitive，可在任意节点下钻到 Python 代码 + 自定义。所以可视化层是『脚手架 + 协作工具』，不是『纯无代码黑盒』。复杂逻辑、custom tool、retriever 都能写代码扩展。",{"q":3659,"a":3660},"production readiness 如何？","用户反馈：原型 + 内部工具非常顺；大流量 \u002F 关键业务要自行加 observability \u002F 错误处理 \u002F 缓存。SelectHub 评测列出『稳定性偶发 + 第三方 API 依赖 + 非完全 production-ready』。生产部署建议 Astra-hosted cloud 或自托管 + 加 sentry \u002F langsmith \u002F prometheus。",[889,3662],"multi",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow",[1989,3666,1303,905],"cloud",[3668,3671,3673,3677],{"plan":3177,"price":1376,"features":3669,"notes":3670},"MIT + pip\u002FDocker + 全部组件 + Pinecone\u002Fpgvector\u002FAstra 适配","自付 LLM API + 服务器",{"plan":3183,"price":1376,"features":3672,"notes":3030},"DataStax 托管 + 小流量",{"plan":3189,"price":3674,"features":3675,"notes":3676},"~$25\u002F月起","Astra DB + 更高额度 + 更多并发 + 团队协作","按使用量阶梯",{"plan":1229,"price":1232,"features":3678,"notes":3679},"SSO + audit + 私有部署 + SLA + 数据驻留","合规 \u002F 大客户","Self-host 完全免费 MIT \u002F Cloud Free + 付费起 ~$25·月（Astra-hosted）","2026-06-19",[3683],{"name":3684,"url":3685},"RAG 应用搭建工作流","\u002Fplaybook\u002Fonboarding\u002Frag-app-workflow",{"power":930,"ux":882,"price":882,"cn_support":864,"stability":930},{"title":755,"description":3647},[3689,3692,3694,3696],{"name":3690,"url":3691,"accessed":959},"Langflow 官网","https:\u002F\u002Fwww.langflow.org",{"name":3693,"url":3616,"accessed":959},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison",{"name":3695,"url":3623,"accessed":959},"xpay — LangFlow 2026 Visual AI Agent Builder",{"name":3697,"url":3630,"accessed":959},"SelectHub — LangFlow Reviews 2026","tools\u002Fagent\u002Fplatform\u002Flangflow","DataStax 出品的可视化 LangChain 画布——MIT 开源 + 20k+ stars + 自托管 + Astra DB 云托管",[1988,3701,3702,1990,3703,3294],"visual-builder","langchain","datastax","工程团队要可视化建 LangChain 流 + 不被 SaaS 锁住 + 合规要求自托管的最佳选择。要纯无代码 + 业务侧 → Dify \u002F Coze；要纯代码 → 直接写 LangChain \u002F LlamaIndex。","eCjsOTFwABESw_XGCPtOv8Lbi5wLL7TlH0O5lbHxof0",{"id":3707,"title":776,"alternatives":3708,"api_compatible":3,"body":3712,"category":881,"chinese_friendly":864,"cover":4360,"description":4361,"domestic":885,"extension":886,"faq":4362,"free":885,"github":3,"languages":4375,"meta":4376,"models":3,"navigation":897,"notSuitable":3,"opensource":897,"path":3075,"pillar":903,"platforms":4377,"priceTable":4378,"pricing":4394,"published":3681,"relatedPlaybooks":4395,"relatedReviews":3,"score":4399,"self_host":897,"seo":4400,"slug":965,"sources":4401,"stem":4410,"suitable":3,"tagline":4411,"tags":4412,"updated":959,"verdict":4414,"website":4322,"__hash__":4415},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n.md",[3709,3710,3711],{"name":3294,"url":3664},{"name":3077,"url":3078},{"name":3080,"url":3081},{"type":20,"value":3713,"toc":4348},[3714,3716,3719,3722,3724,3798,3800,3825,3830,3834,3838,3864,3868,3894,3898,4023,4026,4054,4057,4059,4205,4207,4268,4270,4296,4298,4313,4315,4345],[23,3715,26],{"id":25},[35,3717,3718],{},"n8n 是 2019 创立、Sustainable Use License（fair-code）的开源自动化平台。2026 突破 200,000 active users、5x ARR 增长、5,800+ 社区 AI workflow。差异点：近 70 个 LangChain 专属节点 + 原生 MCP 协议 + AI Agent 节点（reasoning loop + 工具调用）+ Ollama \u002F OpenAI 双路 + 400+ 集成 + execution-based 定价（步骤数无关）+ 自托管 VPS $5-10\u002F月跑全套。",[35,3720,3721],{},"适合：开发者 + 想完全控制 + 高量级自动化；从 Zapier \u002F Make 迁出降本；要 AI Agent + LangChain + MCP 一体；合规 \u002F 自托管 \u002F 数据驻留要求。不适合：非技术 + 要 8000+ 现成集成（用 Zapier）；中等复杂 + 不愿自托管（用 Make）；纯研究 \u002F 学术 agent（用 OpenManus \u002F Langflow）。",[23,3723,3094],{"id":3094},[90,3725,3726,3732,3738,3744,3750,3756,3762,3768,3774,3780,3786,3792],{},[93,3727,3728,3731],{},[38,3729,3730],{},"AI Agent 节点","：reasoning loop + 自主工具选择",[93,3733,3734,3737],{},[38,3735,3736],{},"70 LangChain 节点","：LLM \u002F VectorStore \u002F Agent \u002F Tool \u002F Memory 全套",[93,3739,3740,3743],{},[38,3741,3742],{},"原生 MCP","：MCP server 一键挂载到 agent",[93,3745,3746,3749],{},[38,3747,3748],{},"Ollama 集成","：本地 LLM 零 API 成本",[93,3751,3752,3755],{},[38,3753,3754],{},"400+ 集成","：Slack \u002F GitHub \u002F Google \u002F Notion \u002F 主流 SaaS",[93,3757,3758,3761],{},[38,3759,3760],{},"HTTP \u002F Webhook 万能节点","：任意 REST API 都能接",[93,3763,3764,3767],{},[38,3765,3766],{},"Cron \u002F Trigger","：定时 \u002F 事件 \u002F Webhook 触发",[93,3769,3770,3773],{},[38,3771,3772],{},"多分支并行 + 错误处理","：production workflow 必备",[93,3775,3776,3779],{},[38,3777,3778],{},"版本控制 + Git Sync","：workflow as code",[93,3781,3782,3785],{},[38,3783,3784],{},"自托管 Docker \u002F Kubernetes","：一行起 + 水平扩展",[93,3787,3788,3791],{},[38,3789,3790],{},"execution-based 定价","：20 步和 2 步同价（自托管 = 0）",[93,3793,3794,3797],{},[38,3795,3796],{},"5800+ 社区 workflow","：clone 即用",[23,3799,1186],{"id":1186},[90,3801,3802,3808,3814,3820],{},[93,3803,3804,3807],{},[38,3805,3806],{},"Community Self-host","：$0；全功能 + 不限 execution + 自付 VPS $5-10\u002F月",[93,3809,3810,3813],{},[38,3811,3812],{},"Cloud Starter","：~€20\u002F月；2,500 executions + 5 workflow",[93,3815,3816,3819],{},[38,3817,3818],{},"Cloud Pro","：~€50\u002F月；高 executions + 团队协作",[93,3821,3822,3824],{},[38,3823,1229],{},"：联系销售；SSO + LDAP + 私有部署 + SLA",[73,3826,3827],{},[35,3828,3829],{},"真实场景：Zapier $50\u002F月跑中等复杂 → n8n 自托管 $5\u002F月跑同样的 = 10x 降本。",[23,3831,3833],{"id":3832},"实测中型团队-saas-迁移-本地-ai","实测（中型团队 SaaS 迁移 + 本地 AI）",[35,3835,3836],{},[38,3837,3209],{},[90,3839,3840,3843,3846,3849,3852,3855,3858,3861],{},[93,3841,3842],{},"自托管成本几乎可忽略：$5\u002F月 VPS 跑几十个 workflow",[93,3844,3845],{},"AI Agent + Ollama 让 LLM 任务零 API 成本",[93,3847,3848],{},"70 LangChain 节点覆盖 RAG \u002F Agent \u002F 多模态",[93,3850,3851],{},"MCP 原生集成让 n8n agent 调用任意 MCP server",[93,3853,3854],{},"5800+ 社区 workflow 节省 80% 上手时间",[93,3856,3857],{},"HTTP \u002F Webhook 万能节点弥补 native 集成缺口",[93,3859,3860],{},"升级 Docker tag 一行，无 vendor 升级费",[93,3862,3863],{},"中文社区 \u002F B 站教程丰富",[35,3865,3866],{},[38,3867,3240],{},[90,3869,3870,3873,3876,3879,3882,3885,3888,3891],{},[93,3871,3872],{},"集成数（400+）远少于 Zapier（8000+），冷门 SaaS 要写 HTTP 自己接",[93,3874,3875],{},"自托管要懂 Docker \u002F Postgres \u002F Redis（高吞吐场景）",[93,3877,3878],{},"Cloud 定价 execution 计算法与本地不一致，迁移要重算成本",[93,3880,3881],{},"复杂 workflow 调试比 Zapier 难（错误堆栈深）",[93,3883,3884],{},"Sustainable Use License 不是传统 OSI 开源，企业法务要看条款",[93,3886,3887],{},"AI Agent 节点 production 稳定性不如简单线性 flow",[93,3889,3890],{},"Webhook 公网暴露要加 IP 白名单 + secret",[93,3892,3893],{},"Worker 模式才能并发，单进程吞吐有限",[23,3895,3897],{"id":3896},"上手docker-5-分钟","上手（Docker 5 分钟）",[1256,3899,3901],{"className":1258,"code":3900,"language":1260,"meta":863,"style":863},"# 持久化目录\nmkdir -p ~\u002Fn8n-data\n\n# 启动\ndocker run -d \\\n  --name n8n \\\n  -p 5678:5678 \\\n  -e N8N_BASIC_AUTH_ACTIVE=true \\\n  -e N8N_BASIC_AUTH_USER=admin \\\n  -e N8N_BASIC_AUTH_PASSWORD=yourpassword \\\n  -v ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n \\\n  --restart always \\\n  n8nio\u002Fn8n\n\n# http:\u002F\u002Flocalhost:5678\n",[651,3902,3903,3908,3918,3922,3926,3938,3948,3958,3971,3980,3989,3999,4009,4014,4018],{"__ignoreMap":863},[1264,3904,3905],{"class":1266,"line":1267},[1264,3906,3907],{"class":1317},"# 持久化目录\n",[1264,3909,3910,3913,3915],{"class":1266,"line":867},[1264,3911,3912],{"class":1270},"mkdir",[1264,3914,3318],{"class":1283},[1264,3916,3917],{"class":1274}," ~\u002Fn8n-data\n",[1264,3919,3920],{"class":1266,"line":864},[1264,3921,1464],{"emptyLinePlaceholder":897},[1264,3923,3924],{"class":1266,"line":930},[1264,3925,2399],{"class":1317},[1264,3927,3928,3930,3932,3935],{"class":1266,"line":882},[1264,3929,1303],{"class":1270},[1264,3931,3297],{"class":1274},[1264,3933,3934],{"class":1283}," -d",[1264,3936,3937],{"class":1283}," \\\n",[1264,3939,3940,3943,3946],{"class":1266,"line":1461},[1264,3941,3942],{"class":1283},"  --name",[1264,3944,3945],{"class":1274}," n8n",[1264,3947,3937],{"class":1283},[1264,3949,3950,3953,3956],{"class":1266,"line":6},[1264,3951,3952],{"class":1283},"  -p",[1264,3954,3955],{"class":1274}," 5678:5678",[1264,3957,3937],{"class":1283},[1264,3959,3960,3963,3966,3969],{"class":1266,"line":9},[1264,3961,3962],{"class":1283},"  -e",[1264,3964,3965],{"class":1274}," N8N_BASIC_AUTH_ACTIVE=",[1264,3967,3968],{"class":1283},"true",[1264,3970,3937],{"class":1283},[1264,3972,3973,3975,3978],{"class":1266,"line":1477},[1264,3974,3962],{"class":1283},[1264,3976,3977],{"class":1274}," N8N_BASIC_AUTH_USER=admin",[1264,3979,3937],{"class":1283},[1264,3981,3982,3984,3987],{"class":1266,"line":8},[1264,3983,3962],{"class":1283},[1264,3985,3986],{"class":1274}," N8N_BASIC_AUTH_PASSWORD=yourpassword",[1264,3988,3937],{"class":1283},[1264,3990,3991,3994,3997],{"class":1266,"line":1487},[1264,3992,3993],{"class":1283},"  -v",[1264,3995,3996],{"class":1274}," ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n",[1264,3998,3937],{"class":1283},[1264,4000,4001,4004,4007],{"class":1266,"line":1492},[1264,4002,4003],{"class":1283},"  --restart",[1264,4005,4006],{"class":1274}," always",[1264,4008,3937],{"class":1283},[1264,4010,4011],{"class":1266,"line":1498},[1264,4012,4013],{"class":1274},"  n8nio\u002Fn8n\n",[1264,4015,4016],{"class":1266,"line":1504},[1264,4017,1464],{"emptyLinePlaceholder":897},[1264,4019,4020],{"class":1266,"line":2421},[1264,4021,4022],{"class":1317},"# http:\u002F\u002Flocalhost:5678\n",[35,4024,4025],{},"连 Ollama：",[1256,4027,4029],{"className":1258,"code":4028,"language":1260,"meta":863,"style":863},"ollama serve\nollama pull llama3.2\n# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[651,4030,4031,4039,4049],{"__ignoreMap":863},[1264,4032,4033,4036],{"class":1266,"line":1267},[1264,4034,4035],{"class":1270},"ollama",[1264,4037,4038],{"class":1274}," serve\n",[1264,4040,4041,4043,4046],{"class":1266,"line":867},[1264,4042,4035],{"class":1270},[1264,4044,4045],{"class":1274}," pull",[1264,4047,4048],{"class":1274}," llama3.2\n",[1264,4050,4051],{"class":1266,"line":864},[1264,4052,4053],{"class":1317},"# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[35,4055,4056],{},"试 workflow：Webhook 触发 → AI Agent 节点（Ollama）→ Slack 通知。复制粘贴一个社区 workflow 30 分钟跑通完整 AI 自动化。",[23,4058,3353],{"id":3353},[252,4060,4061,4077],{},[255,4062,4063],{},[258,4064,4065,4067,4069,4072,4075],{},[261,4066,263],{},[261,4068,776],{},[261,4070,4071],{},"Zapier",[261,4073,4074],{},"Make",[261,4076,755],{},[271,4078,4079,4092,4104,4121,4133,4147,4159,4173,4189],{},[258,4080,4081,4083,4086,4088,4090],{},[276,4082,465],{},[276,4084,4085],{},"✅ fair-code",[276,4087,295],{},[276,4089,295],{},[276,4091,2643],{},[258,4093,4094,4096,4098,4100,4102],{},[276,4095,1363],{},[276,4097,3425],{},[276,4099,295],{},[276,4101,295],{},[276,4103,470],{},[258,4105,4106,4109,4112,4115,4118],{},[276,4107,4108],{},"集成数",[276,4110,4111],{},"400+",[276,4113,4114],{},"8000+",[276,4116,4117],{},"2000+",[276,4119,4120],{},"LangChain 原语",[258,4122,4123,4125,4127,4129,4131],{},[276,4124,783],{},[276,4126,3425],{},[276,4128,3442],{},[276,4130,3442],{},[276,4132,470],{},[258,4134,4135,4138,4141,4143,4145],{},[276,4136,4137],{},"LangChain 节点",[276,4139,4140],{},"✅ 70 个",[276,4142,295],{},[276,4144,295],{},[276,4146,292],{},[258,4148,4149,4151,4153,4155,4157],{},[276,4150,1870],{},[276,4152,292],{},[276,4154,295],{},[276,4156,295],{},[276,4158,3442],{},[258,4160,4161,4164,4167,4169,4171],{},[276,4162,4163],{},"Local LLM",[276,4165,4166],{},"✅ Ollama",[276,4168,295],{},[276,4170,295],{},[276,4172,470],{},[258,4174,4175,4178,4181,4184,4187],{},[276,4176,4177],{},"起价",[276,4179,4180],{},"$0 自托管",[276,4182,4183],{},"$29.99\u002F月",[276,4185,4186],{},"$9\u002F月",[276,4188,4180],{},[258,4190,4191,4193,4196,4199,4202],{},[276,4192,3482],{},[276,4194,4195],{},"开发者 + 高量级",[276,4197,4198],{},"非技术 + 简单",[276,4200,4201],{},"中等复杂",[276,4203,4204],{},"LangChain 工程",[23,4206,3497],{"id":3497},[90,4208,4209,4215,4221,4227,4233,4239,4245,4251,4257,4262],{},[93,4210,4211,4214],{},[38,4212,4213],{},"自托管装 Postgres + Redis","：默认 SQLite 高吞吐崩",[93,4216,4217,4220],{},[38,4218,4219],{},"Worker 模式","：高并发要起 worker container 才能并行",[93,4222,4223,4226],{},[38,4224,4225],{},"Webhook 加防护","：公网 Webhook 加 IP 白名单 \u002F secret \u002F nginx",[93,4228,4229,4232],{},[38,4230,4231],{},"数据加密","：n8n encryption key 设强随机值，备份要带 key",[93,4234,4235,4238],{},[38,4236,4237],{},"Cloud vs Self-host 成本","：>2k execution\u002F月 自托管更省",[93,4240,4241,4244],{},[38,4242,4243],{},"集成缺失","：冷门 SaaS 用 HTTP Request + curl 等价",[93,4246,4247,4250],{},[38,4248,4249],{},"AI Agent 稳定性","：生产关键流先用线性节点，agent 留给探索任务",[93,4252,4253,4256],{},[38,4254,4255],{},"license 法务","：Sustainable Use License 给法务看一遍，企业内部用没问题",[93,4258,4259,4261],{},[38,4260,3796],{},"：导入前看作者 + star 数 + 不要直接生产用，要 review",[93,4263,4264,4267],{},[38,4265,4266],{},"monitoring","：生产部署加 prometheus + 错误告警",[23,4269,703],{"id":702},[90,4271,4272,4275,4278,4281,4284,4287,4290,4293],{},[93,4273,4274],{},"✅ 开发者 + 完全控制 + 高量级自动化",[93,4276,4277],{},"✅ 从 Zapier \u002F Make 迁出降本",[93,4279,4280],{},"✅ AI Agent + LangChain + MCP 一体",[93,4282,4283],{},"✅ 合规 \u002F 数据驻留 \u002F 自托管需求",[93,4285,4286],{},"❌ 非技术 + 要 8000+ 现成集成（用 Zapier）",[93,4288,4289],{},"❌ 完全不愿自托管 + 不想付 Cloud",[93,4291,4292],{},"❌ 纯研究 \u002F 学术 agent（用 OpenManus）",[93,4294,4295],{},"❌ 极简 2-step 自动化（Zapier 更快）",[23,4297,759],{"id":759},[90,4299,4300,4305,4309],{},[93,4301,4302],{},[46,4303,4304],{"href":3664},"Langflow 评测",[93,4306,4307],{},[46,4308,3594],{"href":3078},[93,4310,4311],{},[46,4312,3599],{"href":3081},[23,4314,827],{"id":827},[389,4316,4317,4324,4331,4338],{},[93,4318,4319,4320],{},"n8n 官网 ",[46,4321,4322],{"href":4322,"rel":4323},"https:\u002F\u002Fn8n.io",[50],[93,4325,4326,4327],{},"AutomationByExperts — n8n 2026 200k users 5x ARR ",[46,4328,4329],{"href":4329,"rel":4330},"https:\u002F\u002Fautomationbyexperts.com\u002Fblog\u002Fn8n-ai-workflow-automation-guide-2026",[50],[93,4332,4333,4334],{},"Tutorials Technology — n8n + AI on Linux 2026（Docker + Ollama）",[46,4335,4336],{"href":4336,"rel":4337},"https:\u002F\u002Ftutorials.technology\u002Ftutorials\u002Fn8n-ai-workflows-linux-2026.html",[50],[93,4339,4340,4341],{},"Northflank — n8n Self-host Architecture + Pricing 2026 ",[46,4342,4343],{"href":4343,"rel":4344},"https:\u002F\u002Fnorthflank.com\u002Fblog\u002Fhow-to-self-host-n8n-setup-architecture-and-pricing-guide",[50],[1935,4346,4347],{},"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 .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}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":863,"searchDepth":864,"depth":864,"links":4349},[4350,4351,4352,4353,4354,4355,4356,4357,4358,4359],{"id":25,"depth":867,"text":26},{"id":3094,"depth":867,"text":3094},{"id":1186,"depth":867,"text":1186},{"id":3832,"depth":867,"text":3833},{"id":3896,"depth":867,"text":3897},{"id":3353,"depth":867,"text":3353},{"id":3497,"depth":867,"text":3497},{"id":702,"depth":867,"text":703},{"id":759,"depth":867,"text":759},{"id":827,"depth":867,"text":827},"\u002Fimg\u002Ftools\u002Fn8n.webp","n8n 真实评测：2019 创立、Sustainable Use License（fair-code）的开源自动化平台。2026 突破 200,000 active users、5x ARR 增长、5,800+ 社区 AI workflow。差异点：近 70 个 LangChain 专属节点 + 原生 MCP 协议 + AI Agent 节点（reasoning loop + 工具调用）+ Ollama \u002F OpenAI 双路 + 400+ 集成 + execution-based 定价（步骤数无关）+ 自托管 VPS $5-10\u002F月跑全套。",[4363,4366,4369,4372],{"q":4364,"a":4365},"n8n 和 Zapier \u002F Make 怎么选？","Zapier 8000+ 集成 + 最易上手 + 非技术团队最爱，但 $29.99\u002F月才 750 tasks + 每步独立计费 = 量大成本爆炸。Make 视觉画布 + 并行分支 + 2000+ 集成 + 智能打包步骤（10k ops $29\u002F月），中等复杂最佳性价比。n8n 开源 + 自托管 + execution-based（步骤数无关）+ 70 LangChain 节点 + MCP 原生，开发者 + 高量级 + 完全控制首选。模式：从 Zapier \u002F Make 起步 → 撞墙 → 迁 n8n。",{"q":4367,"a":4368},"AI Agent 节点是什么？","n8n 2026 加的特殊节点：运行 reasoning loop，从连接的工具节点中自主挑选并调用，直到有答案。和传统线性节点的『按顺序执行预定动作』不同，AI Agent 引入了 LLM 决策。可挂接近 70 LangChain 节点 \u002F MCP server \u002F 任意 HTTP API。让 n8n 从『纯自动化』升级为『真正的 AI agent 平台』。",{"q":4370,"a":4371},"Sustainable Use License 是什么协议？","n8n 用的 fair-code 协议（非传统 OSI 开源）。允许内部使用 + 自托管 + 修改源码，但限制把 n8n 作为 SaaS 转售（与 n8n 商业版直接竞争）。对自用 \u002F 内部工具 \u002F 普通自托管 100% 免费。要做 n8n competitor \u002F 商业 SaaS 才需要谈授权。",{"q":4373,"a":4374},"自托管成本和门槛？","最小：$5-10\u002F月 VPS（DigitalOcean \u002F Hetzner \u002F Linode）+ Docker 一行起。Postgres 持久化 + Redis 队列（高吞吐）+ Worker 节点（水平扩展）。10 分钟内能跑通最小版本。中文社区 \u002F B 站 \u002F 知乎 有大量中文教程。比 Langflow \u002F Dify 上手快。",[889,3662],{},[1989,3666,1303,905],[4379,4383,4387,4391],{"plan":4380,"price":1376,"features":4381,"notes":4382},"Community (Self-host)","全部功能 + 不限执行 + 不限 workflow + Sustainable Use License","VPS $5-10\u002F月",{"plan":3812,"price":4384,"features":4385,"notes":4386},"~€20\u002F月","2,500 executions + 5 workflow + 基础集成","试水 \u002F 小团队",{"plan":3818,"price":4388,"features":4389,"notes":4390},"~€50\u002F月","更高 executions + 团队协作 + 高级特性","中型团队",{"plan":1229,"price":1232,"features":4392,"notes":4393},"SSO + audit + LDAP + 私有部署 + SLA","大客户","Self-host 免费 \u002F Cloud Starter ~€20·月 (2.5k executions) \u002F Pro \u002F Business \u002F Enterprise 阶梯",[4396],{"name":4397,"url":4398},"n8n 自托管 + Ollama 自动化","\u002Fplaybook\u002Fonboarding\u002Fn8n-ollama-automation",{"power":882,"ux":930,"price":882,"cn_support":864,"stability":882},{"title":776,"description":4361},[4402,4404,4406,4408],{"name":4403,"url":4322,"accessed":959},"n8n 官网",{"name":4405,"url":4329,"accessed":959},"AutomationByExperts — n8n 2026 200k users 5x ARR",{"name":4407,"url":4336,"accessed":959},"Tutorials Technology — n8n + AI on Linux 2026",{"name":4409,"url":4343,"accessed":959},"Northflank — n8n Self-host Pricing 2026","tools\u002Fagent\u002Fplatform\u002Fn8n","自托管自动化平台——200k+ 用户 + 70 LangChain 节点 + MCP 原生 + Ollama 集成",[1988,955,4413,3702,1992,1989,776],"automation","Zapier \u002F Make 的开源替代——20 步工作流和 2 步成本一样（自托管）。AI Agent + LangChain 节点让它在 2026 成为开发者首选自动化平台。要 8000+ 现成集成 + 极简上手用 Zapier；要中等复杂 + 不自托管用 Make。","90tFLjTDSjxw39fv1_p6ApLyl87172IIlgJ26ge1upY",{"id":4417,"title":4418,"alternatives":4419,"api_compatible":3,"body":4423,"category":881,"chinese_friendly":882,"cover":4906,"description":4907,"domestic":885,"extension":886,"faq":4908,"free":885,"github":3,"languages":4921,"meta":4922,"models":3,"navigation":897,"notSuitable":3,"opensource":885,"path":4923,"pillar":903,"platforms":4924,"priceTable":4928,"pricing":4940,"published":3681,"relatedPlaybooks":4941,"relatedReviews":3,"score":4945,"self_host":885,"seo":4946,"slug":17,"sources":4947,"stem":4956,"suitable":3,"tagline":4957,"tags":4958,"updated":959,"verdict":4964,"website":4871,"__hash__":4965},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fyuanqi.md","腾讯元器",[4420,4421,4422],{"name":3294,"url":3664},{"name":776,"url":3075},{"name":3077,"url":3078},{"type":20,"value":4424,"toc":4894},[4425,4427,4430,4433,4435,4509,4511,4531,4536,4540,4544,4570,4574,4600,4604,4627,4629,4761,4763,4818,4820,4846,4848,4862,4864],[23,4426,26],{"id":25},[35,4428,4429],{},"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。",[35,4431,4432],{},"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）。",[23,4434,3094],{"id":3094},[90,4436,4437,4443,4449,4455,4461,4467,4473,4479,4485,4491,4497,4503],{},[93,4438,4439,4442],{},[38,4440,4441],{},"公众号一键授权","：扫码绑定 → 历史文章变知识库",[93,4444,4445,4448],{},[38,4446,4447],{},"零代码创建","：自然语言描述 → 智能体 + 工作流",[93,4450,4451,4454],{},[38,4452,4453],{},"混元 + DeepSeek 双底座","：选模型 + 备案合规",[93,4456,4457,4460],{},[38,4458,4459],{},"知识库 RAG","：文章 \u002F PDF \u002F 网页 \u002F 自定义文本",[93,4462,4463,4466],{},[38,4464,4465],{},"工作流引擎","：可视化编排多步执行",[93,4468,4469,4472],{},[38,4470,4471],{},"多 Agent 协作","：子 agent 调子 agent 完成复杂任务",[93,4474,4475,4478],{},[38,4476,4477],{},"插件广场","：搜索 \u002F 天气 \u002F 翻译 \u002F 图片生成等",[93,4480,4481,4484],{},[38,4482,4483],{},"智能体广场 \u002F 模板","：clone 业内成熟智能体",[93,4486,4487,4490],{},[38,4488,4489],{},"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",[93,4492,4493,4496],{},[38,4494,4495],{},"微信支付 MCP","：智能体可直接发起支付闭环",[93,4498,4499,4502],{},[38,4500,4501],{},"企业级解决方案","：私有部署 + SSO + 定制",[93,4504,4505,4508],{},[38,4506,4507],{},"小助手 \u002F 客服助手 \u002F IP 分身 \u002F 角色陪聊","等内置场景",[23,4510,1186],{"id":1186},[90,4512,4513,4519,4525],{},[93,4514,4515,4518],{},[38,4516,4517],{},"免费创建","：¥0；创建智能体 + 公众号绑定 + 知识库 + 工作流",[93,4520,4521,4524],{},[38,4522,4523],{},"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",[93,4526,4527,4530],{},[38,4528,4529],{},"企业级方案","：联系商务；私有部署 + SSO + 定制 + SLA",[73,4532,4533],{},[35,4534,4535],{},"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。",[23,4537,4539],{"id":4538},"实测公众号自媒体-政企客服","实测（公众号自媒体 + 政企客服）",[35,4541,4542],{},[38,4543,3209],{},[90,4545,4546,4549,4552,4555,4558,4561,4564,4567],{},[93,4547,4548],{},"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",[93,4550,4551],{},"混元 + DeepSeek 中文效果好 + 国内备案合规",[93,4553,4554],{},"微信生态全链路：粉丝问 → 智能体答 → 推荐产品 → 微信支付 闭环",[93,4556,4557],{},"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",[93,4559,4560],{},"政务 \u002F 央企（钦州政务 \u002F 中国石化『小石头』）有正式落地",[93,4562,4563],{},"多 Agent 协作架构让复杂业务场景可拆分",[93,4565,4566],{},"零代码运营人员可独立完成，不依赖技术",[93,4568,4569],{},"智能体模板让冷启动快 10x",[35,4571,4572],{},[38,4573,3240],{},[90,4575,4576,4579,4582,4585,4588,4591,4594,4597],{},[93,4577,4578],{},"新旧版双底层，旧版用户迁移有摩擦",[93,4580,4581],{},"海外用户访问受限，跨海外业务用不上",[93,4583,4584],{},"工作流编排能力不如 Dify \u002F Coze 强（少高级控制流）",[93,4586,4587],{},"多 Agent 编排 UI 学习曲线",[93,4589,4590],{},"知识库切片粒度自定义有限",[93,4592,4593],{},"国产模型 reasoning 能力比 GPT-5 \u002F Claude 仍有差距",[93,4595,4596],{},"自托管 \u002F 数据私有化不可行（除非企业版私有部署）",[93,4598,4599],{},"海外大模型接入限制（混元 \u002F DeepSeek 为主）",[23,4601,4603],{"id":4602},"上手公众号博主-5-分钟","上手（公众号博主 5 分钟）",[389,4605,4606,4609,4612,4615,4618,4621,4624],{},[93,4607,4608],{},"yuanqi.tencent.com → 微信扫码登录",[93,4610,4611],{},"新建智能体 → 名字 + 头像 + 描述",[93,4613,4614],{},"知识库 → 绑定公众号 → 扫码授权 → 等历史文章入库（几分钟）",[93,4616,4617],{},"角色设定 → 例：『你是 X 公众号官方助手，基于知识库回答问题』",[93,4619,4620],{},"测试对话 → 验证答案命中文章",[93,4622,4623],{},"发布 → 选择渠道（公众号菜单 \u002F 客服）",[93,4625,4626],{},"粉丝在公众号点击菜单 → 进入 AI 对话",[23,4628,3353],{"id":3353},[252,4630,4631,4646],{},[255,4632,4633],{},[258,4634,4635,4637,4639,4641,4643],{},[261,4636,263],{},[261,4638,622],{},[261,4640,13],{},[261,4642,446],{},[261,4644,4645],{},"文心智能体",[271,4647,4648,4660,4674,4690,4704,4717,4734,4747],{},[258,4649,4650,4652,4654,4656,4658],{},[276,4651,4441],{},[276,4653,3425],{},[276,4655,295],{},[276,4657,295],{},[276,4659,3442],{},[258,4661,4662,4665,4668,4670,4672],{},[276,4663,4664],{},"微信支付闭环",[276,4666,4667],{},"✅ MCP",[276,4669,295],{},[276,4671,295],{},[276,4673,295],{},[258,4675,4676,4679,4682,4685,4687],{},[276,4677,4678],{},"多渠道发布",[276,4680,4681],{},"微信生态",[276,4683,4684],{},"多平台 + 海外",[276,4686,1363],{},[276,4688,4689],{},"百度生态",[258,4691,4692,4695,4697,4700,4702],{},[276,4693,4694],{},"海外可用",[276,4696,295],{},[276,4698,4699],{},"✅ Coze.com",[276,4701,470],{},[276,4703,295],{},[258,4705,4706,4708,4711,4713,4715],{},[276,4707,1363],{},[276,4709,4710],{},"❌（企业版才有）",[276,4712,295],{},[276,4714,2634],{},[276,4716,295],{},[258,4718,4719,4722,4725,4728,4731],{},[276,4720,4721],{},"LLM 底座",[276,4723,4724],{},"混元 + DeepSeek",[276,4726,4727],{},"多家",[276,4729,4730],{},"多家 + 自托管",[276,4732,4733],{},"文心一言",[258,4735,4736,4738,4741,4743,4745],{},[276,4737,2680],{},[276,4739,4740],{},"✅ 基础",[276,4742,3425],{},[276,4744,3425],{},[276,4746,470],{},[258,4748,4749,4751,4754,4756,4759],{},[276,4750,3482],{},[276,4752,4753],{},"公众号 + 国内",[276,4755,4684],{},[276,4757,4758],{},"自托管 + 企业",[276,4760,4689],{},[23,4762,3497],{"id":3497},[90,4764,4765,4771,4777,4783,4789,4794,4800,4806,4812],{},[93,4766,4767,4770],{},[38,4768,4769],{},"新版优先","：旧版功能停止演进，新建议直接新版",[93,4772,4773,4776],{},[38,4774,4775],{},"公众号文章质量","：知识库 = 文章质量，垃圾文章入库 = 垃圾回答",[93,4778,4779,4782],{},[38,4780,4781],{},"测试对话","：发布前测 20 个常见问题，验证答案准确",[93,4784,4785,4788],{},[38,4786,4787],{},"兜底回复","：知识库命中失败要有兜底引导（『请联系人工』）",[93,4790,4791,4793],{},[38,4792,4664],{},"：用户体验要清晰，支付链路要可中断",[93,4795,4796,4799],{},[38,4797,4798],{},"token 预算","：开通调用前看模型计价 + 设上限",[93,4801,4802,4805],{},[38,4803,4804],{},"海外用户","：访问可能不稳，业务覆盖海外要走 Coze",[93,4807,4808,4811],{},[38,4809,4810],{},"政务 \u002F 央企合规","：用企业版私有部署 + 备案",[93,4813,4814,4817],{},[38,4815,4816],{},"多 Agent 不要过度","：复杂业务先单 agent 跑通，再拆分",[23,4819,703],{"id":702},[90,4821,4822,4825,4828,4831,4834,4837,4840,4843],{},[93,4823,4824],{},"✅ 微信公众号博主 \u002F 国内自媒体",[93,4826,4827],{},"✅ 政企客服 \u002F 政务 \u002F 民生场景",[93,4829,4830],{},"✅ 电商品牌 + 微信支付闭环",[93,4832,4833],{},"✅ 零代码运营 + 非技术团队",[93,4835,4836],{},"❌ 海外用户 \u002F 跨平台分发",[93,4838,4839],{},"❌ 自托管 \u002F 数据零云",[93,4841,4842],{},"❌ 纯通用 reasoning \u002F 学术 agent",[93,4844,4845],{},"❌ 深度工程化 + API-first",[23,4847,759],{"id":759},[90,4849,4850,4854,4858],{},[93,4851,4852],{},[46,4853,4304],{"href":3664},[93,4855,4856],{},[46,4857,3589],{"href":3075},[93,4859,4860],{},[46,4861,3594],{"href":3078},[23,4863,827],{"id":827},[389,4865,4866,4873,4880,4887],{},[93,4867,4868,4869],{},"腾讯元器官网 ",[46,4870,4871],{"href":4871,"rel":4872},"https:\u002F\u002Fyuanqi.tencent.com",[50],[93,4874,4875,4876],{},"腾讯元器帮助中心 - 平台介绍 + 升级说明 ",[46,4877,4878],{"href":4878,"rel":4879},"https:\u002F\u002Fyuanqi.tencent.com\u002Fguide\u002Fyuanqi-introduction",[50],[93,4881,4882,4883],{},"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）",[46,4884,4885],{"href":4885,"rel":4886},"https:\u002F\u002Fyuanqi.tencent.com\u002Fagent-center\u002Findex",[50],[93,4888,4889,4890],{},"AGI 空间站 — 腾讯混元 + 元器生态 ",[46,4891,4892],{"href":4892,"rel":4893},"https:\u002F\u002Fdocs.feishu.cn\u002Fv\u002Fwiki\u002FJc1TwOaAni879pksMgmcqgUNnof\u002Fa3",[50],{"title":863,"searchDepth":864,"depth":864,"links":4895},[4896,4897,4898,4899,4900,4901,4902,4903,4904,4905],{"id":25,"depth":867,"text":26},{"id":3094,"depth":867,"text":3094},{"id":1186,"depth":867,"text":1186},{"id":4538,"depth":867,"text":4539},{"id":4602,"depth":867,"text":4603},{"id":3353,"depth":867,"text":3353},{"id":3497,"depth":867,"text":3497},{"id":702,"depth":867,"text":703},{"id":759,"depth":867,"text":759},{"id":827,"depth":867,"text":827},"\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。",[4909,4912,4915,4918],{"q":4910,"a":4911},"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":4913,"a":4914},"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":4916,"a":4917},"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":4919,"a":4920},"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。",[888,889],{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fyuanqi",[905,4925,4926,4927],"wechat-mp","wechat-work","wechat-pay",[4929,4932,4936],{"plan":4517,"price":909,"features":4930,"notes":4931},"创建智能体 + 公众号绑定 + 知识库 + 工作流 + 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