[{"data":1,"prerenderedAt":4452},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"alt-main-dify":8,"alt-list-dify":1177},{"tools":4,"reviews":5},98,27,{"tools":4,"reviews":5,"playbooks":7,"news":5},23,{"id":9,"title":10,"alternatives":11,"api_compatible":16,"body":23,"category":1107,"chinese_friendly":391,"cover":1108,"description":1109,"domestic":558,"extension":1110,"faq":1111,"free":558,"github":337,"languages":1112,"lastVerified":1116,"meta":1117,"models":1111,"navigation":558,"notSuitable":1111,"opensource":558,"path":1118,"pillar":1119,"platforms":1120,"priceTable":1124,"pricing":1141,"published":1142,"relatedPlaybooks":1111,"relatedReviews":1143,"score":1148,"self_host":558,"seo":1149,"seoTitle":1150,"slug":1151,"sources":1152,"stem":1164,"suitable":1111,"tagline":1165,"tags":1166,"updated":1174,"verdict":1175,"website":1049,"__hash__":1176},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fdify.md","Dify",[12,13,14,15],"agent\u002Fplatform\u002Fcoze","agent\u002Fplatform\u002Ffastgpt","agent\u002Fplatform\u002Fn8n","agent\u002Fplatform\u002Flangflow",[17,18,19,20,21,22],"OpenAI","Anthropic","百度文心","阿里通义","Moonshot Kimi","DeepSeek",{"type":24,"value":25,"toc":1085},"minimark",[26,31,59,65,68,73,76,151,154,158,161,177,196,200,203,214,218,226,238,242,245,248,252,261,322,329,333,341,411,414,434,438,441,501,507,511,606,609,638,641,782,800,839,842,915,919,922,942,945,974,977,1039,1042,1073,1081],[27,28,30],"h2",{"id":29},"tldr","TL;DR",[32,33,38,46],"div",{"className":34},[35,36,37],"card","p-5","my-4",[39,40,41,45],"p",{},[42,43,44],"strong",{},"一句话："," 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。",[39,47,48,49,52,53,58],{},"最大价值是 ",[42,50,51],{},"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 ",[54,55,57],"a",{"href":56},"\u002Fagent\u002Fplatform\u002Fcoze.html","Coze"," 折腾，新手得读 1-2 小时文档。",[60,61,62],"blockquote",{},[39,63,64],{},"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。",[27,66,67],{"id":67},"核心特性",[69,70,72],"h3",{"id":71},"可视化工作流chatflow-workflow","可视化工作流（Chatflow + Workflow）",[39,74,75],{},"Dify 把 LLM 应用拆成两种\"应用类型\"：",[77,78,79,95],"table",{},[80,81,82],"thead",{},[83,84,85,89,92],"tr",{},[86,87,88],"th",{},"类型",[86,90,91],{},"适合场景",[86,93,94],{},"编排范式",[96,97,98,112,125,138],"tbody",{},[83,99,100,106,109],{},[101,102,103],"td",{},[42,104,105],{},"Chatbot",[101,107,108],{},"简单对话机器人",[101,110,111],{},"prompt + tools",[83,113,114,119,122],{},[101,115,116],{},[42,117,118],{},"Agent",[101,120,121],{},"自主多步任务",[101,123,124],{},"ReAct \u002F Function Calling",[83,126,127,132,135],{},[101,128,129],{},[42,130,131],{},"Chatflow",[101,133,134],{},"对话型工作流（多轮 + 分支）",[101,136,137],{},"节点 DAG，带聊天上下文",[83,139,140,145,148],{},[101,141,142],{},[42,143,144],{},"Workflow",[101,146,147],{},"单次输入→输出（API 模式）",[101,149,150],{},"节点 DAG，无对话状态",[39,152,153],{},"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\"。",[69,155,157],{"id":156},"rag-知识库","RAG 知识库",[39,159,160],{},"内置完整 RAG 链路：",[162,163,164,168,171,174],"ol",{},[165,166,167],"li",{},"上传文档（PDF \u002F Word \u002F Markdown \u002F 网页）",[165,169,170],{},"自动分块 + embedding（可配置分段策略和 embedding 模型）",[165,172,173],{},"混合检索（向量 + 全文 + 重排）",[165,175,176],{},"引用溯源（回答末尾自动附原文片段）",[39,178,179,180,186,187,190,191,195],{},"注意：根据 ",[54,181,185],{"href":182,"rel":183},"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F1887141987838309480",[184],"nofollow","知乎 LLM 实战笔记 2025-03 对比"," 的实测，Dify ",[42,188,189],{},"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 ",[54,192,194],{"href":193},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT","（实测准确率高 10+ 个百分点），Dify 胜在工作流而非纯 RAG。",[69,197,199],{"id":198},"模型生态40-提供商","模型生态：40+ 提供商",[39,201,202],{},"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。",[39,204,205,206,208,209,213],{},"国产模型原生支持（不像 ",[54,207,194],{"href":193}," 需要 ",[54,210,212],{"href":211},"\u002Fcoding\u002Fapi\u002Fone-api.html","OneAPI"," 中转），是 Dify 在国内 toB 场景流行的关键。",[69,215,217],{"id":216},"mcp-协议支持","MCP 协议支持",[39,219,220,221,225],{},"Dify 较早接入了 ",[54,222,224],{"href":223},"\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：",[227,228,229,232,235],"ul",{},[165,230,231],{},"通过 MCP 调本地 PostgreSQL \u002F SQLite",[165,233,234],{},"通过 MCP 调 GitHub \u002F Slack \u002F Linear",[165,236,237],{},"通过 MCP 调自家内部系统（写一个 MCP Server 即可）",[69,239,241],{"id":240},"api-first","API-first",[39,243,244],{},"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。",[27,246,247],{"id":247},"价格与运行成本",[69,249,251],{"id":250},"云版difyai","云版（dify.ai）",[39,253,254,255,260],{},"根据 ",[54,256,259],{"href":257,"rel":258},"https:\u002F\u002Fwww.tooljunction.io\u002Fai-tools\u002Fdify-ai",[184],"tooljunction.io 2026 评测"," 引用的官方定价：",[77,262,263,276],{},[80,264,265],{},[83,266,267,270,273],{},[86,268,269],{},"套餐",[86,271,272],{},"价格",[86,274,275],{},"主要限制",[96,277,278,289,300,311],{},[83,279,280,283,286],{},[101,281,282],{},"Sandbox",[101,284,285],{},"免费",[101,287,288],{},"200 次模型调用，1 app，5MB 知识库",[83,290,291,294,297],{},[101,292,293],{},"Professional",[101,295,296],{},"$59\u002F月起",[101,298,299],{},"5000 调用\u002F月，多 app，50MB 知识库",[83,301,302,305,308],{},[101,303,304],{},"Team",[101,306,307],{},"$159\u002F月起",[101,309,310],{},"团队协作、SSO",[83,312,313,316,319],{},[101,314,315],{},"Enterprise",[101,317,318],{},"联系销售",[101,320,321],{},"定制 SLA、私有云",[39,323,324,325,328],{},"注意：云版价格只是 Dify 平台费，",[42,326,327],{},"模型 API 费用另算","（自带 OpenAI \u002F Anthropic key）。",[69,330,332],{"id":331},"自托管推荐","自托管（推荐）",[39,334,335,340],{},[54,336,339],{"href":337,"rel":338},"https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify",[184],"官方 GitHub 仓库"," 提供 Docker Compose 部署，社区版完全免费可商用：",[342,343,348],"pre",{"className":344,"code":345,"language":346,"meta":347,"style":347},"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","",[349,350,351,367,377,389,404],"code",{"__ignoreMap":347},[352,353,356,360,364],"span",{"class":354,"line":355},"line",1,[352,357,359],{"class":358},"sScJk","git",[352,361,363],{"class":362},"sZZnC"," clone",[352,365,366],{"class":362}," https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\n",[352,368,370,374],{"class":354,"line":369},2,[352,371,373],{"class":372},"sj4cs","cd",[352,375,376],{"class":362}," dify\u002Fdocker\n",[352,378,380,383,386],{"class":354,"line":379},3,[352,381,382],{"class":358},"cp",[352,384,385],{"class":362}," .env.example",[352,387,388],{"class":362}," .env\n",[352,390,392,395,398,401],{"class":354,"line":391},4,[352,393,394],{"class":358},"docker",[352,396,397],{"class":362}," compose",[352,399,400],{"class":362}," up",[352,402,403],{"class":372}," -d\n",[352,405,407],{"class":354,"line":406},5,[352,408,410],{"class":409},"sJ8bj","# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[39,412,413],{},"硬件门槛（社区共识，非官方硬性要求）：",[227,415,416,422,428],{},[165,417,418,421],{},[42,419,420],{},"最低","：2 核 4G，纯外接 API 模式",[165,423,424,427],{},[42,425,426],{},"推荐","：4 核 8G + 至少 30GB 磁盘（向量数据 + 文件存储）",[165,429,430,433],{},[42,431,432],{},"企业","：8 核 16G+，单机日活上千",[69,435,437],{"id":436},"真实-tco","真实 TCO",[39,439,440],{},"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）：",[77,442,443,456],{},[80,444,445],{},[83,446,447,450,453],{},[86,448,449],{},"成本项",[86,451,452],{},"云版 Professional",[86,454,455],{},"自托管",[96,457,458,469,479,490],{},[83,459,460,463,466],{},[101,461,462],{},"平台费",[101,464,465],{},"~$2,100（3 年）",[101,467,468],{},"$0",[83,470,471,474,476],{},[101,472,473],{},"服务器",[101,475,468],{},[101,477,478],{},"~$50\u002F月 × 36 = $1,800",[83,480,481,484,487],{},[101,482,483],{},"模型 API",[101,485,486],{},"与下同",[101,488,489],{},"与上同",[83,491,492,495,498],{},[101,493,494],{},"运维人力",[101,496,497],{},"0",[101,499,500],{},"约 0.2 人月",[39,502,503,506],{},[42,504,505],{},"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。",[27,508,510],{"id":509},"上手-10-分钟","上手 10 分钟",[342,512,514],{"className":344,"code":513,"language":346,"meta":347,"style":347},"# 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",[349,515,516,521,529,535,543,553,560,566,572,577,583,588,594,600],{"__ignoreMap":347},[352,517,518],{"class":354,"line":355},[352,519,520],{"class":409},"# 1. 自托管（社区版）\n",[352,522,523,525,527],{"class":354,"line":369},[352,524,359],{"class":358},[352,526,363],{"class":362},[352,528,366],{"class":362},[352,530,531,533],{"class":354,"line":379},[352,532,373],{"class":372},[352,534,376],{"class":362},[352,536,537,539,541],{"class":354,"line":391},[352,538,382],{"class":358},[352,540,385],{"class":362},[352,542,388],{"class":362},[352,544,545,547,549,551],{"class":354,"line":406},[352,546,394],{"class":358},[352,548,397],{"class":362},[352,550,400],{"class":362},[352,552,403],{"class":372},[352,554,556],{"class":354,"line":555},6,[352,557,559],{"emptyLinePlaceholder":558},true,"\n",[352,561,563],{"class":354,"line":562},7,[352,564,565],{"class":409},"# 2. 浏览器打开 http:\u002F\u002Flocalhost\n",[352,567,569],{"class":354,"line":568},8,[352,570,571],{"class":409},"#    首次会让你创建 admin 账号\n",[352,573,575],{"class":354,"line":574},9,[352,576,559],{"emptyLinePlaceholder":558},[352,578,580],{"class":354,"line":579},10,[352,581,582],{"class":409},"# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n",[352,584,586],{"class":354,"line":585},11,[352,587,559],{"emptyLinePlaceholder":558},[352,589,591],{"class":354,"line":590},12,[352,592,593],{"class":409},"# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n",[352,595,597],{"class":354,"line":596},13,[352,598,599],{"class":409},"# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n",[352,601,603],{"class":354,"line":602},14,[352,604,605],{"class":409},"# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[27,607,608],{"id":608},"国内使用注意事项",[162,610,611,617,623,629],{},[165,612,613,616],{},[42,614,615],{},"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",[165,618,619,622],{},[42,620,621],{},"自托管 + 国产模型"," = 完全国内闭环，是 Dify 在国内最大优势",[165,624,625,628],{},[42,626,627],{},"Docker 镜像拉取","：国内可能慢，建议配 Docker registry 镜像（阿里云 \u002F 网易）",[165,630,631,634,635,637],{},[42,632,633],{},"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 ",[54,636,57],{"href":56}," 迁到 Dify",[27,639,640],{"id":640},"与同类怎么选",[77,642,643,666],{},[80,644,645],{},[83,646,647,650,652,656,660],{},[86,648,649],{},"维度",[86,651,10],{},[86,653,654],{},[54,655,57],{"href":56},[86,657,658],{},[54,659,194],{"href":193},[86,661,662],{},[54,663,665],{"href":664},"\u002Fagent\u002Fplatform\u002Fn8n.html","n8n",[96,667,668,684,697,713,727,741,755,768],{},[83,669,670,673,676,679,681],{},[101,671,672],{},"开源",[101,674,675],{},"✅",[101,677,678],{},"❌",[101,680,675],{},[101,682,683],{},"✅（fair-code）",[83,685,686,689,691,693,695],{},[101,687,688],{},"私有部署",[101,690,675],{},[101,692,678],{},[101,694,675],{},[101,696,675],{},[83,698,699,702,705,708,710],{},[101,700,701],{},"上手难度",[101,703,704],{},"★★★☆☆",[101,706,707],{},"★★☆☆☆ 最简单",[101,709,704],{},[101,711,712],{},"★★★★☆",[83,714,715,718,721,723,725],{},[101,716,717],{},"工作流编排",[101,719,720],{},"★★★★★",[101,722,712],{},[101,724,704],{},[101,726,720],{},[83,728,729,732,734,736,738],{},[101,730,731],{},"RAG 精度",[101,733,712],{},[101,735,704],{},[101,737,720],{},[101,739,740],{},"★★☆☆☆",[83,742,743,746,748,750,753],{},[101,744,745],{},"模型生态",[101,747,720],{},[101,749,712],{},[101,751,752],{},"★★★☆☆（OneAPI 中转）",[101,754,712],{},[83,756,757,760,762,764,766],{},[101,758,759],{},"中文场景",[101,761,712],{},[101,763,720],{},[101,765,712],{},[101,767,704],{},[83,769,770,773,775,778,780],{},[101,771,772],{},"字节生态绑定",[101,774,678],{},[101,776,777],{},"✅（飞书\u002F抖音深度集成）",[101,779,678],{},[101,781,678],{},[39,783,784,787,788,793,794,799],{},[42,785,786],{},"怎么选","（基于 ",[54,789,792],{"href":790,"rel":791},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[184],"BestHub 2025-07"," 和 ",[54,795,798],{"href":796,"rel":797},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[184],"博客园 2026-01"," 两份选型指南综合）：",[227,801,802,808,816,823,830],{},[165,803,804,807],{},[42,805,806],{},"数据必须不出内网 + 工作流复杂"," → Dify",[165,809,810,813,814],{},[42,811,812],{},"个人 \u002F 小团队 \u002F 快速原型 + 字节生态"," → ",[54,815,57],{"href":56},[165,817,818,813,821],{},[42,819,820],{},"核心场景就是企业知识库 QA",[54,822,194],{"href":193},[165,824,825,813,828],{},[42,826,827],{},"重点是连接外部 SaaS（Slack \u002F Notion \u002F 数据库）",[54,829,665],{"href":664},[165,831,832,813,835],{},[42,833,834],{},"要画图式表达 LangChain pipeline",[54,836,838],{"href":837},"\u002Fagent\u002Fplatform\u002Flangflow.html","Langflow",[27,840,841],{"id":841},"避坑清单",[227,843,844,850,867,878,891,897,903,909],{},[165,845,846,849],{},[42,847,848],{},"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。",[165,851,852,858,859,862,863,866],{},[42,853,854,857],{},[349,855,856],{},".env"," 文件改完忘 restart","：",[349,860,861],{},"docker compose down && up -d","，不是 ",[349,864,865],{},"restart","——后者不重新加载 env。",[165,868,869,858,872,877],{},[42,870,871],{},"大版本升级会破坏数据库 schema",[54,873,876],{"href":874,"rel":875},"https:\u002F\u002Fdocs.dify.ai\u002Fzh-hans",[184],"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。",[165,879,880,883,884,886,887,890],{},[42,881,882],{},"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 ",[349,885,856],{}," 的 ",[349,888,889],{},"UPLOAD_FILE_SIZE_LIMIT"," 并重启容器。",[165,892,893,896],{},[42,894,895],{},"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。",[165,898,899,902],{},[42,900,901],{},"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。",[165,904,905,908],{},[42,906,907],{},"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。",[165,910,911,914],{},[42,912,913],{},"国内 Docker 拉取镜像慢","：先配国内 registry，否则首次 pull 可能要 30+ 分钟。",[27,916,918],{"id":917},"适合-不适合","适合 \u002F 不适合",[39,920,921],{},"✅ 适合：",[227,923,924,927,930,933,936,939],{},[165,925,926],{},"中大型企业 LLM 中台建设",[165,928,929],{},"需要私有化部署（金融 \u002F 医疗 \u002F 政府）",[165,931,932],{},"想做\"AI 工作流即产品\"的开发团队",[165,934,935],{},"同时需要 RAG + Agent + Workflow 三件套",[165,937,938],{},"想用国产模型 + 国际模型混合编排",[165,940,941],{},"已经接受 Docker + 一定运维投入",[39,943,944],{},"❌ 不适合：",[227,946,947,953,959,962,968],{},[165,948,949,950,952],{},"纯个人玩家做对话机器人（",[54,951,57],{"href":56}," 更快）",[165,954,955,956,958],{},"只想做企业知识库 QA（",[54,957,194],{"href":193}," RAG 更专）",[165,960,961],{},"团队完全没运维能力（云版还行，自托管会踩坑）",[165,963,964,965,967],{},"需要深度对接字节飞书 \u002F 抖音（",[54,966,57],{"href":56}," 原生）",[165,969,970,971,973],{},"工作流核心是连接 100+ SaaS（",[54,972,665],{"href":664}," 节点更全）",[27,975,976],{"id":976},"相关阅读",[227,978,979,991,1009,1028],{},[165,980,981,982,984,985,984,987,984,989],{},"同类对比：",[54,983,57],{"href":56}," \u002F ",[54,986,194],{"href":193},[54,988,665],{"href":664},[54,990,838],{"href":837},[165,992,993,994,984,998,984,1002,984,1005],{},"概念基础：",[54,995,997],{"href":996},"\u002Fwiki\u002Fai-agent.html","AI Agent",[54,999,1001],{"href":1000},"\u002Fwiki\u002Frag.html","RAG",[54,1003,1004],{"href":223},"MCP",[54,1006,1008],{"href":1007},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[165,1010,1011,1012,984,1016,984,1020,984,1024],{},"模型选型：",[54,1013,1015],{"href":1014},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[54,1017,1019],{"href":1018},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[54,1021,1023],{"href":1022},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[54,1025,1027],{"href":1026},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[165,1029,1030,1031,984,1035],{},"进阶：",[54,1032,1034],{"href":1033},"\u002Fwiki\u002Ffine-tuning-vs-rag.html","Fine-tuning vs RAG",[54,1036,1038],{"href":1037},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[27,1040,1041],{"id":1041},"来源",[227,1043,1044,1051,1057,1063,1070],{},[165,1045,1046,1047],{},"官网：",[54,1048,1049],{"href":1049,"rel":1050},"https:\u002F\u002Fdify.ai",[184],[165,1052,1053,1054],{},"中文文档：",[54,1055,874],{"href":874,"rel":1056},[184],[165,1058,1059,1060],{},"GitHub：",[54,1061,337],{"href":337,"rel":1062},[184],[165,1064,1065,1066],{},"官方定价：",[54,1067,1068],{"href":1068,"rel":1069},"https:\u002F\u002Fdify.ai\u002Fpricing",[184],[165,1071,1072],{},"第三方评测：tooljunction.io \u002F chatforest.com \u002F besthub.dev \u002F joshuaopolko.com \u002F 知乎 LLM 实战笔记",[39,1074,1075,1076,1080],{},"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 ",[54,1077,1079],{"href":1078},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",[1082,1083,1084],"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":347,"searchDepth":379,"depth":379,"links":1086},[1087,1088,1095,1100,1101,1102,1103,1104,1105,1106],{"id":29,"depth":369,"text":30},{"id":67,"depth":369,"text":67,"children":1089},[1090,1091,1092,1093,1094],{"id":71,"depth":379,"text":72},{"id":156,"depth":379,"text":157},{"id":198,"depth":379,"text":199},{"id":216,"depth":379,"text":217},{"id":240,"depth":379,"text":241},{"id":247,"depth":369,"text":247,"children":1096},[1097,1098,1099],{"id":250,"depth":379,"text":251},{"id":331,"depth":379,"text":332},{"id":436,"depth":379,"text":437},{"id":509,"depth":369,"text":510},{"id":608,"depth":369,"text":608},{"id":640,"depth":369,"text":640},{"id":841,"depth":369,"text":841},{"id":917,"depth":369,"text":918},{"id":976,"depth":369,"text":976},{"id":1041,"depth":369,"text":1041},"platform","\u002Fimg\u002Ftools\u002Fdify.webp","Dify 2026 真实评测：开源 LLMOps 与 AI Agent 平台，集工作流编排、RAG 知识库、Agent、MCP 和多模型接入于一体。本文对比 Coze、FastGPT、n8n，整理自托管部署、云版价格、适合团队和避坑建议。","md",null,[1113,1114,1115],"zh","en","ja","2026-08-02",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fdify","agent",[1121,1122,1123,394],"windows","macos","linux",[1125,1129,1133,1137],{"plan":1126,"price":468,"features":1127,"notes":1128},"Self-hosted（开源版）","Docker 一键部署 + 全部核心功能（工作流 \u002F RAG \u002F Agent \u002F MCP）+ 接任意模型 API","私有部署 \u002F 完全免费 \u002F Apache 2.0",{"plan":1130,"price":468,"features":1131,"notes":1132},"Cloud Sandbox（免费云）","官方托管试水档，含基础调用配额","免运维 \u002F 试水 POC",{"plan":1134,"price":296,"features":1135,"notes":1136},"Cloud Professional","更高调用额度 + 团队协作 + 商用支持","商用云首选",{"plan":1138,"price":1139,"features":1140,"notes":318},"Cloud Team \u002F Enterprise","Custom","更大配额 + SLA + 私有部署支持 + 合规","云版 SaaS（免费档 \u002F Professional $59\u002F月起） + 开源自托管完全免费","2026-06-18",[1144,1145,1146,1147],"coze-deep-review","coze-vs-dify","dify-deep-review","fastgpt-deep-review",{"power":406,"ux":391,"price":406,"cn_support":391,"stability":391},{"title":10,"description":1109},"Dify 评测 2026：开源 LLMOps 与 AI Agent 平台，自托管指南","agent\u002Fplatform\u002Fdify",[1153,1155,1157,1159,1161],{"title":1154,"url":874},"Dify 官方文档（中文）",{"title":1156,"url":337},"Dify GitHub",{"title":1158,"url":1068},"Dify 官方定价",{"title":1160,"url":790},"Coze vs Dify vs FastGPT 选型",{"title":1162,"url":1163},"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",[1167,1168,1169,1170,1171,1172,1173],"agent-platform","opensource","self-host","rag","workflow","llmops","mcp","2026-06-24","想私有部署、想接全球任意模型，Dify 是答案。比 Coze 工程化、上手陡一点；比 FastGPT 工作流强、RAG 略弱。","q61l3oA5zdTKrp-66KGGh7wde1ZGUvjMulHa4GKaOXE",[1178,2032,3110,3841],{"id":1179,"title":57,"alternatives":1180,"api_compatible":1182,"body":1184,"category":1107,"chinese_friendly":406,"cover":1962,"description":1963,"domestic":558,"extension":1110,"faq":1111,"free":558,"github":1111,"languages":1964,"lastVerified":1116,"meta":1965,"models":1966,"navigation":558,"notSuitable":1972,"opensource":1976,"path":1977,"pillar":1119,"platforms":1978,"priceTable":1980,"pricing":2001,"published":1142,"relatedPlaybooks":1111,"relatedReviews":2002,"score":2003,"self_host":1976,"seo":2004,"seoTitle":2005,"slug":12,"sources":2006,"stem":2017,"suitable":2018,"tagline":2024,"tags":2025,"updated":1174,"verdict":2030,"website":1201,"__hash__":2031},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md",[1151,13,1181],"agent\u002Fplatform\u002Fyuanqi",[17,18,19,20,21,1183],"字节豆包",{"type":24,"value":1185,"toc":1946},[1186,1188,1222,1227,1229,1233,1236,1250,1259,1309,1318,1322,1325,1357,1365,1369,1372,1392,1396,1476,1486,1488,1491,1511,1520,1522,1558,1561,1563,1696,1707,1736,1738,1810,1812,1814,1831,1833,1861,1863,1912,1914,1941],[27,1187,30],{"id":29},[32,1189,1191,1211],{"className":1190},[35,36,37],[39,1192,1193,1195,1196,1210],{},[42,1194,44],{}," 字节跳动出品的低代码 Agent 平台，",[42,1197,1198,1199,1204,1205],{},"国内版 ",[54,1200,1203],{"href":1201,"rel":1202},"https:\u002F\u002Fwww.coze.cn",[184],"coze.cn","（中文叫\"扣子\"）+ 国际版 ",[54,1206,1209],{"href":1207,"rel":1208},"https:\u002F\u002Fwww.coze.com",[184],"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。",[39,1212,48,1213,1216,1217,1221],{},[42,1214,1215],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[54,1218,1220],{"href":796,"rel":1219},[184],"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\"。",[60,1223,1224],{},[39,1225,1226],{},"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。",[27,1228,67],{"id":67},[69,1230,1232],{"id":1231},"可视化工作流最大卖点","可视化工作流（最大卖点）",[39,1234,1235],{},"Coze 把 Agent 拆成两层：",[227,1237,1238,1244],{},[165,1239,1240,1243],{},[42,1241,1242],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[165,1245,1246,1249],{},[42,1247,1248],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署",[39,1251,1252,1253,1258],{},"工作流节点类型（基于 ",[54,1254,1257],{"href":1255,"rel":1256},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[184],"火山引擎社区 2025 实战","）：",[227,1260,1261,1267,1273,1279,1285,1291,1297,1303],{},[165,1262,1263,1266],{},[42,1264,1265],{},"开始 \u002F 结束节点","：输入输出",[165,1268,1269,1272],{},[42,1270,1271],{},"大模型节点","：调豆包 \u002F GPT \u002F Claude 任一模型",[165,1274,1275,1278],{},[42,1276,1277],{},"代码节点","：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[165,1280,1281,1284],{},[42,1282,1283],{},"循环节点","：批量处理多条数据",[165,1286,1287,1290],{},[42,1288,1289],{},"条件节点","：分支判断",[165,1292,1293,1296],{},[42,1294,1295],{},"插件节点","：调 Coze 插件市场的工具",[165,1298,1299,1302],{},[42,1300,1301],{},"知识库节点","：RAG 检索",[165,1304,1305,1308],{},[42,1306,1307],{},"HTTP 节点","：调外部 API",[39,1310,1311,1312,1317],{},"典型用例（参考 ",[54,1313,1316],{"href":1314,"rel":1315},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[184],"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。",[69,1319,1321],{"id":1320},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[39,1323,1324],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[227,1326,1327,1333,1339,1345,1351],{},[165,1328,1329,1332],{},[42,1330,1331],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[165,1334,1335,1338],{},[42,1336,1337],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[165,1340,1341,1344],{},[42,1342,1343],{},"联网搜索","：实时网页检索",[165,1346,1347,1350],{},[42,1348,1349],{},"代码执行","：在线运行 Python",[165,1352,1353,1356],{},[42,1354,1355],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[39,1358,1359,1364],{},[54,1360,1363],{"href":1361,"rel":1362},"https:\u002F\u002Fkouziai.github.io\u002F",[184],"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。",[69,1366,1368],{"id":1367},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[39,1370,1371],{},"发布渠道：",[227,1373,1374,1377,1380,1383,1386,1389],{},[165,1375,1376],{},"飞书机器人（一键绑）",[165,1378,1379],{},"抖音 \u002F 头条号",[165,1381,1382],{},"微信小程序 \u002F 公众号（部分需企业认证）",[165,1384,1385],{},"自定义网页嵌入",[165,1387,1388],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[165,1390,1391],{},"Discord（国际版）",[69,1393,1395],{"id":1394},"国内版-vs-国际版","国内版 vs 国际版",[77,1397,1398,1410],{},[80,1399,1400],{},[83,1401,1402,1404,1407],{},[86,1403,649],{},[86,1405,1406],{},"扣子（coze.cn）",[86,1408,1409],{},"Coze（coze.com）",[96,1411,1412,1423,1433,1443,1454,1465],{},[83,1413,1414,1417,1420],{},[101,1415,1416],{},"主力模型",[101,1418,1419],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[101,1421,1422],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[83,1424,1425,1428,1431],{},[101,1426,1427],{},"飞书 \u002F 抖音 \u002F 微信集成",[101,1429,1430],{},"✅ 原生",[101,1432,678],{},[83,1434,1435,1438,1441],{},[101,1436,1437],{},"Discord \u002F Slack 集成",[101,1439,1440],{},"⚠️ 有限",[101,1442,1430],{},[83,1444,1445,1448,1451],{},[101,1446,1447],{},"数据存储位置",[101,1449,1450],{},"国内",[101,1452,1453],{},"海外",[83,1455,1456,1459,1462],{},[101,1457,1458],{},"支付",[101,1460,1461],{},"微信 \u002F 支付宝",[101,1463,1464],{},"海外信用卡",[83,1466,1467,1470,1473],{},[101,1468,1469],{},"内容合规",[101,1471,1472],{},"严格审核",[101,1474,1475],{},"宽松",[39,1477,1478,1481,1482,1485],{},[42,1479,1480],{},"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 ",[42,1483,1484],{},"不互通","。",[27,1487,247],{"id":247},[39,1489,1490],{},"国内版（扣子）：",[227,1492,1493,1499,1505],{},[165,1494,1495,1498],{},[42,1496,1497],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[165,1500,1501,1504],{},[42,1502,1503],{},"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",[165,1506,1507,1510],{},[42,1508,1509],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[39,1512,1513,1514,1519],{},"国际版（coze.com）的定价模式据 ",[54,1515,1518],{"href":1516,"rel":1517},"https:\u002F\u002Fdocs.coze.com\u002F",[184],"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。",[27,1521,510],{"id":509},[162,1523,1524,1537,1540,1543,1546,1549,1552,1555],{},[165,1525,1526,1527,1531,1532,1536],{},"打开 ",[54,1528,1530],{"href":1201,"rel":1529},[184],"www.coze.cn","（国内）或 ",[54,1533,1535],{"href":1207,"rel":1534},[184],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[165,1538,1539],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[165,1541,1542],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[165,1544,1545],{},"写 Bot 角色 prompt",[165,1547,1548],{},"可选：上传 PDF \u002F 文档建知识库",[165,1550,1551],{},"测试一下对话效果",[165,1553,1554],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[165,1556,1557],{},"拿到调用 URL \u002F 飞书机器人 webhook",[39,1559,1560],{},"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。",[27,1562,640],{"id":640},[77,1564,1565,1588],{},[80,1566,1567],{},[83,1568,1569,1571,1573,1578,1582],{},[86,1570,649],{},[86,1572,57],{},[86,1574,1575],{},[54,1576,10],{"href":1577},"\u002Fagent\u002Fplatform\u002Fdify.html",[86,1579,1580],{},[54,1581,194],{"href":193},[86,1583,1584],{},[54,1585,1587],{"href":1586},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[96,1589,1590,1602,1616,1631,1643,1655,1669,1683],{},[83,1591,1592,1594,1596,1598,1600],{},[101,1593,672],{},[101,1595,678],{},[101,1597,675],{},[101,1599,675],{},[101,1601,678],{},[83,1603,1604,1606,1609,1611,1613],{},[101,1605,688],{},[101,1607,1608],{},"⚠️ 仅企业版",[101,1610,675],{},[101,1612,675],{},[101,1614,1615],{},"⚠️",[83,1617,1618,1620,1623,1626,1628],{},[101,1619,701],{},[101,1621,1622],{},"★ 最简单",[101,1624,1625],{},"★★★",[101,1627,1625],{},[101,1629,1630],{},"★★",[83,1632,1633,1635,1637,1639,1641],{},[101,1634,717],{},[101,1636,712],{},[101,1638,720],{},[101,1640,704],{},[101,1642,704],{},[83,1644,1645,1647,1649,1651,1653],{},[101,1646,731],{},[101,1648,704],{},[101,1650,712],{},[101,1652,720],{},[101,1654,704],{},[83,1656,1657,1660,1662,1664,1666],{},[101,1658,1659],{},"字节生态",[101,1661,720],{},[101,1663,678],{},[101,1665,678],{},[101,1667,1668],{},"❌（腾讯系）",[83,1670,1671,1674,1677,1679,1681],{},[101,1672,1673],{},"插件市场",[101,1675,1676],{},"★★★★★ 200+",[101,1678,704],{},[101,1680,704],{},[101,1682,704],{},[83,1684,1685,1688,1690,1692,1694],{},[101,1686,1687],{},"中文社区",[101,1689,720],{},[101,1691,712],{},[101,1693,712],{},[101,1695,712],{},[39,1697,1698,1700,1701,793,1704,1258],{},[42,1699,786],{},"（综合 ",[54,1702,792],{"href":790,"rel":1703},[184],[54,1705,798],{"href":796,"rel":1706},[184],[227,1708,1709,1715,1722,1728],{},[165,1710,1711,1714],{},[42,1712,1713],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[165,1716,1717,813,1720],{},[42,1718,1719],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队",[54,1721,10],{"href":1577},[165,1723,1724,813,1726],{},[42,1725,820],{},[54,1727,194],{"href":193},[165,1729,1730,813,1733],{},[42,1731,1732],{},"QQ \u002F 微信生态 + 腾讯系",[54,1734,1735],{"href":1586},"元器",[27,1737,841],{"id":841},[227,1739,1740,1750,1756,1771,1781,1787,1798,1804],{},[165,1741,1742,1745,1746,1749],{},[42,1743,1744],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[42,1747,1748],{},"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",[165,1751,1752,1755],{},[42,1753,1754],{},"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",[165,1757,1758,1761,1762,1765,1766,1770],{},[42,1759,1760],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[349,1763,1764],{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[54,1767,1769],{"href":1255,"rel":1768},[184],"火山引擎 2025 教程","）",[165,1772,1773,1776,1777,1780],{},[42,1774,1775],{},"工作流读取飞书表格默认 20 条","：要改 ",[349,1778,1779],{},"page_size","，最大 500 条；超过 500 要分页或循环",[165,1782,1783,1786],{},[42,1784,1785],{},"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",[165,1788,1789,1792,1793,984,1795,1797],{},[42,1790,1791],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[54,1794,10],{"href":1577},[54,1796,194],{"href":193}," 自托管",[165,1799,1800,1803],{},[42,1801,1802],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[165,1805,1806,1809],{},[42,1807,1808],{},"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",[27,1811,918],{"id":917},[39,1813,921],{},[227,1815,1816,1819,1822,1825,1828],{},[165,1817,1818],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[165,1820,1821],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[165,1823,1824],{},"个人副业（小红书账号批量内容生成等）",[165,1826,1827],{},"中小企业客服 Bot（3 天上线）",[165,1829,1830],{},"想用豆包 \u002F DeepSeek 国产模型的人",[39,1832,944],{},[227,1834,1835,1838,1841,1846,1853],{},[165,1836,1837],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[165,1839,1840],{},"复杂业务系统深度集成（自由度不够）",[165,1842,1843,1844,1770],{},"反感字节生态（去 ",[54,1845,10],{"href":1577},[165,1847,1848,1849,984,1851,1770],{},"希望开源 \u002F 完全自主可控（去 ",[54,1850,10],{"href":1577},[54,1852,194],{"href":193},[165,1854,1855,1856,984,1858,1860],{},"海外 toB SaaS 产品后端（",[54,1857,10],{"href":1577},[54,1859,838],{"href":837}," 更合适）",[27,1862,976],{"id":976},[227,1864,1865,1877,1889,1904],{},[165,1866,981,1867,984,1869,984,1871,984,1873,984,1875],{},[54,1868,10],{"href":1577},[54,1870,194],{"href":193},[54,1872,1735],{"href":1586},[54,1874,838],{"href":837},[54,1876,665],{"href":664},[165,1878,1879,1880,984,1882,984,1884,984,1886],{},"概念：",[54,1881,997],{"href":996},[54,1883,1001],{"href":1000},[54,1885,1008],{"href":1007},[54,1887,1888],{"href":996},"Multi-Agent",[165,1890,1891,1892,984,1896,984,1898,984,1902],{},"模型：",[54,1893,1895],{"href":1894},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[54,1897,1023],{"href":1022},[54,1899,1901],{"href":1900},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[54,1903,1027],{"href":1026},[165,1905,1030,1906,984,1910],{},[54,1907,1909],{"href":1908},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[54,1911,1038],{"href":1037},[27,1913,1041],{"id":1041},[227,1915,1916,1922,1928,1935,1938],{},[165,1917,1918,1919],{},"国内版：",[54,1920,1201],{"href":1201,"rel":1921},[184],[165,1923,1924,1925],{},"国际版：",[54,1926,1207],{"href":1207,"rel":1927},[184],[165,1929,1930,1931],{},"官方文档：",[54,1932,1933],{"href":1933,"rel":1934},"https:\u002F\u002Fdocs.coze.com",[184],[165,1936,1937],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[165,1939,1940],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[39,1942,1943,1944,1080],{},"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 ",[54,1945,1079],{"href":1078},{"title":347,"searchDepth":379,"depth":379,"links":1947},[1948,1949,1955,1956,1957,1958,1959,1960,1961],{"id":29,"depth":369,"text":30},{"id":67,"depth":369,"text":67,"children":1950},[1951,1952,1953,1954],{"id":1231,"depth":379,"text":1232},{"id":1320,"depth":379,"text":1321},{"id":1367,"depth":379,"text":1368},{"id":1394,"depth":379,"text":1395},{"id":247,"depth":369,"text":247},{"id":509,"depth":369,"text":510},{"id":640,"depth":369,"text":640},{"id":841,"depth":369,"text":841},{"id":917,"depth":369,"text":918},{"id":976,"depth":369,"text":976},{"id":1041,"depth":369,"text":1041},"\u002Fimg\u002Ftools\u002Fcoze.webp","Coze 扣子 2026 真实评测：字节低代码 AI Agent 平台，支持可视化工作流、插件市场、知识库和 Bot 发布。本文对比 Dify、FastGPT、n8n，梳理国内版\u002F国际版差异、价格、适合场景和避坑建议。",[1113,1114],{},[1967,1968,1969,1970,1971],"doubao-pro","deepseek-v3","qwen-max","gpt-4o (国际版)","claude (国际版)",[1973,1974,1975],"需要私有部署、数据不出网（去 Dify \u002F FastGPT）","需要深度定制（去 LangGraph \u002F n8n）","对字节生态依赖反感",false,"\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze",[1979],"web",[1981,1987,1992,1996],{"plan":1982,"price":1983,"limit":1984,"cn_pay":1985,"note":1986},"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":1503,"price":1988,"limit":1989,"cn_pay":1990,"note":1991},"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":1509,"price":1993,"limit":1994,"cn_pay":675,"note":1995},"议价","VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":1997,"price":1998,"cn_pay":1999,"note":2000,"limit":1985},"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",[1144,1145,1146,1147],{"power":391,"ux":406,"price":391,"cn_support":406,"stability":391},{"title":57,"description":1963},"Coze 扣子评测 2026：字节 AI Agent 平台，对比 Dify",[2007,2009,2011,2013,2015],{"title":2008,"url":1201},"Coze 国内版（扣子）",{"title":2010,"url":1207},"Coze 国际版",{"title":2012,"url":1933},"Coze 官方文档",{"title":2014,"url":796},"Coze vs Dify vs FastGPT 选型 2026",{"title":2016,"url":790},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[2019,2020,2021,2022,2023],"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",[1167,2026,1171,2027,2028,2029],"low-code","bot-marketplace","bytedance","no-code","想最快做出一个能用的 Bot，从 Coze 起步。要私有部署或开源协作，去 Dify \u002F FastGPT。","FZEpZL7kS1YIIYCXTqqZ8C0eWBWLu82UpKE4B1geW7M",{"id":2033,"title":194,"alternatives":2034,"api_compatible":2035,"body":2037,"category":1107,"chinese_friendly":406,"cover":3042,"description":3043,"domestic":558,"extension":1110,"faq":1111,"free":558,"github":3005,"languages":3044,"lastVerified":1116,"meta":3045,"models":3046,"navigation":558,"notSuitable":3050,"opensource":558,"path":3054,"pillar":1119,"platforms":3055,"priceTable":3056,"pricing":3078,"published":1142,"relatedPlaybooks":3079,"relatedReviews":3081,"score":3082,"self_host":558,"seo":3083,"seoTitle":3084,"slug":13,"sources":3085,"stem":3096,"suitable":3097,"tagline":3103,"tags":3104,"updated":1174,"verdict":3108,"website":2999,"__hash__":3109},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt.md",[1151,12,15,14],[2036],"openai",{"type":24,"value":2038,"toc":3024},[2039,2041,2070,2081,2083,2087,2090,2104,2107,2133,2137,2144,2176,2183,2187,2240,2247,2250,2253,2256,2263,2309,2315,2319,2350,2354,2460,2463,2466,2470,2478,2600,2615,2617,2774,2782,2816,2822,2824,2898,2900,2902,2922,2924,2942,2944,2991,2993,3016,3021],[27,2040,30],{"id":29},[32,2042,2044,2059],{"className":2043},[35,36,37],[39,2045,2046,2048,2049,2054,2055,2058],{},[42,2047,44],{}," labring 团队开源的 LLM 知识库 RAG 平台，27k+ GitHub star（截至 2026-03 数据，",[54,2050,2053],{"href":2051,"rel":2052},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2632669",[184],"腾讯云 2026-03 教程"," 引用），Apache 2.0 许可证可商用。",[42,2056,2057],{},"核心优势是 RAG 链路工程做得极细","——问题预处理、混合检索、重排序、上下文组装、答案生成每一步都可视化调参。",[39,2060,2061,2062,2065,2066,2069],{},"最大价值在 ",[42,2063,2064],{},"国内企业知识库 + 私有部署"," 场景。代价是 ",[42,2067,2068],{},"配置门槛","：docker 基础 + 网络知识 + 一定运维能力。",[60,2071,2072],{},[39,2073,2074,2075,2080],{},"来源说明：本文基于 fastgpt.io 官方页面、github.com\u002Flabring\u002FFastGPT 仓库、",[54,2076,2079],{"href":2077,"rel":2078},"https:\u002F\u002Fwww.nanhuantech.com\u002Fzh\u002Fai-reviews\u002Ffastgpt-2025-review",[184],"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。",[27,2082,67],{"id":67},[69,2084,2086],{"id":2085},"知识库管理核心能力","知识库管理（核心能力）",[39,2088,2089],{},"支持文件类型：",[227,2091,2092,2095,2098,2101],{},[165,2093,2094],{},"文档：PDF \u002F Word \u002F Markdown \u002F TXT \u002F HTML",[165,2096,2097],{},"表格：Excel \u002F CSV",[165,2099,2100],{},"网页：URL 抓取 + 定时同步",[165,2102,2103],{},"API：通过接口推送内容",[39,2105,2106],{},"处理流程：上传 → 文本切分 → 向量化 → 存储 → 可用于问答。支持：",[227,2108,2109,2115,2121,2127],{},[165,2110,2111,2114],{},[42,2112,2113],{},"文件夹分组","：不同主题 \u002F 部门分类",[165,2116,2117,2120],{},[42,2118,2119],{},"多种分块策略","：默认按段落 \u002F 按 token 数 \u002F 自定义",[165,2122,2123,2126],{},[42,2124,2125],{},"批量导入","：脚本化大批量同步",[165,2128,2129,2132],{},[42,2130,2131],{},"定时同步","：网页源自动更新",[69,2134,2136],{"id":2135},"rag-流程编排最强卖点","RAG 流程编排（最强卖点）",[39,2138,2139,2143],{},[54,2140,2142],{"href":2077,"rel":2141},[184],"南环 AI 2026 评测"," 总结的 FastGPT RAG 链路：",[162,2145,2146,2152,2158,2164,2170],{},[165,2147,2148,2151],{},[42,2149,2150],{},"问题预处理","：改写 \u002F 扩展 \u002F 错词纠正（提升召回率）",[165,2153,2154,2157],{},[42,2155,2156],{},"检索策略","：语义检索 \u002F 关键词 BM25 \u002F 混合检索，可调相似度阈值",[165,2159,2160,2163],{},[42,2161,2162],{},"重排序（Rerank）","：对初步检索结果二次排序，提升相关性",[165,2165,2166,2169],{},[42,2167,2168],{},"上下文组装","：最优 chunk + 问题 → prompt",[165,2171,2172,2175],{},[42,2173,2174],{},"答案生成","：调大模型基于检索结果回答 + 引用标注",[39,2177,2178,2179,2182],{},"每一步都可视化调参，这是 FastGPT 比 Coze \u002F Dify 在 ",[42,2180,2181],{},"纯知识库 QA 精度","上更高的原因。",[69,2184,2186],{"id":2185},"多模型支持不绑定厂商","多模型支持（不绑定厂商）",[77,2188,2189,2199],{},[80,2190,2191],{},[83,2192,2193,2196],{},[86,2194,2195],{},"模型类别",[86,2197,2198],{},"支持",[96,2200,2201,2209,2216,2224,2232],{},[83,2202,2203,2206],{},[101,2204,2205],{},"国产闭源",[101,2207,2208],{},"豆包 \u002F 通义千问 \u002F 文心一言 \u002F 智谱 GLM \u002F Moonshot Kimi \u002F MiniMax",[83,2210,2211,2213],{},[101,2212,672],{},[101,2214,2215],{},"LLaMA \u002F Qwen \u002F ChatGLM \u002F DeepSeek 等可自部署",[83,2217,2218,2221],{},[101,2219,2220],{},"OpenAI 系",[101,2222,2223],{},"GPT-5 \u002F GPT-5 mini \u002F o3",[83,2225,2226,2229],{},[101,2227,2228],{},"Claude 系",[101,2230,2231],{},"Sonnet 4 \u002F Opus 4 \u002F Haiku",[83,2233,2234,2237],{},[101,2235,2236],{},"嵌入 \u002F 重排",[101,2238,2239],{},"BGE \u002F m3e \u002F OpenAI text-embedding-3",[39,2241,2242,2243,2246],{},"可以在 ",[42,2244,2245],{},"应用级别","为不同知识库 \u002F 不同场景配置不同模型，做\"低成本 embedding + 高质量 LLM 生成\"组合。",[69,2248,2249],{"id":2249},"工作流与高级编排",[39,2251,2252],{},"新版本（v4.14.x）支持类似 Dify 的工作流节点编排——条件分支、循环、HTTP 调用、代码节点。能做\"分类 → 路由到不同子知识库 → 不同模型回答\"这类复杂场景。",[69,2254,2255],{"id":2255},"多向量库选择",[39,2257,2258,2262],{},[54,2259,2261],{"href":2051,"rel":2260},[184],"腾讯云教程"," 公开的 4 种向量后端：",[77,2264,2265,2275],{},[80,2266,2267],{},[83,2268,2269,2272],{},[86,2270,2271],{},"后端",[86,2273,2274],{},"适用",[96,2276,2277,2285,2293,2301],{},[83,2278,2279,2282],{},[101,2280,2281],{},"PgVector",[101,2283,2284],{},"5000 万索引以下，新手 \u002F 小规模",[83,2286,2287,2290],{},[101,2288,2289],{},"Milvus",[101,2291,2292],{},"亿级以上，高性能",[83,2294,2295,2298],{},[101,2296,2297],{},"Zilliz Cloud",[101,2299,2300],{},"Milvus 全托管 SaaS",[83,2302,2303,2306],{},[101,2304,2305],{},"SeekDB \u002F OceanBase",[101,2307,2308],{},"企业级国产化",[39,2310,2311,2312,1485],{},"部署时选对应 ",[349,2313,2314],{},"docker-compose.{pgvector|milvus|...}.yml",[69,2316,2318],{"id":2317},"api-与-mcp","API 与 MCP",[227,2320,2321,2327,2333,2344],{},[165,2322,2323,2326],{},[42,2324,2325],{},"对话 API","：流式 \u002F 非流式 HTTP，OpenAI 兼容",[165,2328,2329,2332],{},[42,2330,2331],{},"知识库检索 API","：单独调检索（不走生成）做 hybrid pipeline",[165,2334,2335,2338,2339,2343],{},[42,2336,2337],{},"MCP Server","：3005 端口暴露 MCP SSE 服务，可被 ",[54,2340,2342],{"href":2341},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code"," 等客户端直接接入",[165,2345,2346,2349],{},[42,2347,2348],{},"Webhook","：回调通知",[27,2351,2353],{"id":2352},"部署-10-分钟docker","部署 10 分钟（Docker）",[342,2355,2357],{"className":344,"code":2356,"language":346,"meta":347,"style":347},"# 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",[349,2358,2359,2364,2373,2380,2384,2389,2402,2406,2411,2418,2426,2430,2435,2450,2454],{"__ignoreMap":347},[352,2360,2361],{"class":354,"line":355},[352,2362,2363],{"class":409},"# 克隆代码\n",[352,2365,2366,2368,2370],{"class":354,"line":369},[352,2367,359],{"class":358},[352,2369,363],{"class":362},[352,2371,2372],{"class":362}," https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\n",[352,2374,2375,2377],{"class":354,"line":379},[352,2376,373],{"class":372},[352,2378,2379],{"class":362}," FastGPT\n",[352,2381,2382],{"class":354,"line":391},[352,2383,559],{"emptyLinePlaceholder":558},[352,2385,2386],{"class":354,"line":406},[352,2387,2388],{"class":409},"# 切到最新稳定版（参考 GitHub releases）\n",[352,2390,2391,2393,2396,2399],{"class":354,"line":555},[352,2392,359],{"class":358},[352,2394,2395],{"class":362}," switch",[352,2397,2398],{"class":372}," -c",[352,2400,2401],{"class":372}," 4.14.7.2\n",[352,2403,2404],{"class":354,"line":562},[352,2405,559],{"emptyLinePlaceholder":558},[352,2407,2408],{"class":354,"line":568},[352,2409,2410],{"class":409},"# 选向量库版本（个人 \u002F 小规模选 pg）\n",[352,2412,2413,2415],{"class":354,"line":574},[352,2414,373],{"class":372},[352,2416,2417],{"class":362}," deploy\u002Fdocker\u002Fcn\n",[352,2419,2420,2423],{"class":354,"line":579},[352,2421,2422],{"class":358},"wget",[352,2424,2425],{"class":362}," https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n",[352,2427,2428],{"class":354,"line":585},[352,2429,559],{"emptyLinePlaceholder":558},[352,2431,2432],{"class":354,"line":590},[352,2433,2434],{"class":409},"# 启动\n",[352,2436,2437,2440,2443,2446,2448],{"class":354,"line":596},[352,2438,2439],{"class":358},"docker-compose",[352,2441,2442],{"class":372}," -f",[352,2444,2445],{"class":362}," docker-compose.pg.yml",[352,2447,400],{"class":362},[352,2449,403],{"class":372},[352,2451,2452],{"class":354,"line":602},[352,2453,559],{"emptyLinePlaceholder":558},[352,2455,2457],{"class":354,"line":2456},15,[352,2458,2459],{"class":409},"# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[39,2461,2462],{},"最低配置：2C4G + 20GB 硬盘 + Docker 28+ + Docker Compose 2.20+。",[39,2464,2465],{},"进入后台 → 账号 → 模型提供商 → 配置至少 1 个对话模型 + 1 个嵌入模型 → 即可开始建知识库。",[27,2467,2469],{"id":2468},"云版-vs-自托管对比","云版 vs 自托管对比",[39,2471,2472,2477],{},[54,2473,2476],{"href":2474,"rel":2475},"https:\u002F\u002Ffastgpt.io\u002Fzh\u002Fprice",[184],"fastgpt.io 官方定价"," 公开数据：",[77,2479,2480,2505],{},[80,2481,2482],{},[83,2483,2484,2486,2488,2491,2494,2497,2499,2502],{},[86,2485,269],{},[86,2487,272],{},[86,2489,2490],{},"AI 积分",[86,2492,2493],{},"知识库索引",[86,2495,2496],{},"团队",[86,2498,118],{},[86,2500,2501],{},"知识库",[86,2503,2504],{},"QPM",[96,2506,2507,2531,2556,2580],{},[83,2508,2509,2511,2513,2516,2519,2522,2525,2528],{},[101,2510,285],{},[101,2512,1983],{},[101,2514,2515],{},"100",[101,2517,2518],{},"600",[101,2520,2521],{},"1",[101,2523,2524],{},"10",[101,2526,2527],{},"3",[101,2529,2530],{},"30",[83,2532,2533,2536,2539,2542,2545,2548,2551,2553],{},[101,2534,2535],{},"基础",[101,2537,2538],{},"¥99\u002F月",[101,2540,2541],{},"4000",[101,2543,2544],{},"6000",[101,2546,2547],{},"5",[101,2549,2550],{},"50",[101,2552,2530],{},[101,2554,2555],{},"300",[83,2557,2558,2561,2564,2567,2570,2572,2575,2577],{},[101,2559,2560],{},"高级",[101,2562,2563],{},"¥599\u002F月",[101,2565,2566],{},"25000",[101,2568,2569],{},"36000",[101,2571,2550],{},[101,2573,2574],{},"200",[101,2576,2515],{},[101,2578,2579],{},"1500",[83,2581,2582,2585,2587,2590,2592,2594,2596,2598],{},[101,2583,2584],{},"定制",[101,2586,1993],{},[101,2588,2589],{},"弹性",[101,2591,2589],{},[101,2593,2589],{},[101,2595,2589],{},[101,2597,2589],{},[101,2599,2589],{},[39,2601,2602,2605,2606,2609,2610,2614],{},[42,2603,2604],{},"云版适合","：不想运维、量小、要快速上线\n",[42,2607,2608],{},"自托管适合","：量大（10 万+ 日问答）、数据敏感、要深度定制——按 ",[54,2611,2613],{"href":2077,"rel":2612},[184],"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\"",[27,2616,640],{"id":640},[77,2618,2619,2641],{},[80,2620,2621],{},[83,2622,2623,2625,2627,2631,2635,2638],{},[86,2624,649],{},[86,2626,194],{},[86,2628,2629],{},[54,2630,10],{"href":1577},[86,2632,2633],{},[54,2634,57],{"href":56},[86,2636,2637],{},"RAGFlow",[86,2639,2640],{},"AnythingLLM",[96,2642,2643,2663,2679,2694,2711,2726,2743,2758],{},[83,2644,2645,2648,2651,2654,2657,2660],{},[101,2646,2647],{},"核心定位",[101,2649,2650],{},"知识库 QA",[101,2652,2653],{},"综合 LLMOps",[101,2655,2656],{},"Bot + 工作流",[101,2658,2659],{},"文档解析+RAG",[101,2661,2662],{},"桌面级 KB",[83,2664,2665,2667,2670,2672,2674,2676],{},[101,2666,672],{},[101,2668,2669],{},"✅ Apache 2.0",[101,2671,2669],{},[101,2673,678],{},[101,2675,2669],{},[101,2677,2678],{},"✅ MIT",[83,2680,2681,2683,2686,2688,2690,2692],{},[101,2682,688],{},[101,2684,2685],{},"★★★★★ docker",[101,2687,720],{},[101,2689,1608],{},[101,2691,712],{},[101,2693,720],{},[83,2695,2696,2699,2702,2704,2706,2709],{},[101,2697,2698],{},"RAG 深度",[101,2700,2701],{},"★★★★★ 最细",[101,2703,712],{},[101,2705,704],{},[101,2707,2708],{},"★★★★★ 文档解析最强",[101,2710,704],{},[83,2712,2713,2716,2718,2720,2722,2724],{},[101,2714,2715],{},"工作流",[101,2717,712],{},[101,2719,720],{},[101,2721,712],{},[101,2723,704],{},[101,2725,740],{},[83,2727,2728,2731,2734,2736,2739,2741],{},[101,2729,2730],{},"上手",[101,2732,2733],{},"★★★☆☆ 需 docker",[101,2735,712],{},[101,2737,2738],{},"★★★★★ 最简单",[101,2740,704],{},[101,2742,712],{},[83,2744,2745,2748,2750,2752,2754,2756],{},[101,2746,2747],{},"中文优化",[101,2749,720],{},[101,2751,712],{},[101,2753,720],{},[101,2755,712],{},[101,2757,704],{},[83,2759,2760,2763,2766,2768,2770,2772],{},[101,2761,2762],{},"多平台发布",[101,2764,2765],{},"⚠️ API 为主",[101,2767,712],{},[101,2769,720],{},[101,2771,1615],{},[101,2773,1615],{},[39,2775,2776,1700,2778,1258],{},[42,2777,786],{},[54,2779,2781],{"href":2077,"rel":2780},[184],"南环 AI 评测",[227,2783,2784,2790,2797,2804,2810],{},[165,2785,2786,2789],{},[42,2787,2788],{},"核心需求是 RAG 精度"," → FastGPT",[165,2791,2792,813,2795],{},[42,2793,2794],{},"需要丰富插件 + 复杂工作流 + 多平台发布",[54,2796,10],{"href":1577},[165,2798,2799,813,2802],{},[42,2800,2801],{},"零代码、快速发布到飞书 \u002F 微信",[54,2803,57],{"href":56},[165,2805,2806,2809],{},[42,2807,2808],{},"文档解析（含 OCR \u002F 表格 \u002F 公式）是瓶颈"," → RAGFlow",[165,2811,2812,2815],{},[42,2813,2814],{},"桌面 \u002F 单机使用"," → AnythingLLM",[39,2817,2818,2821],{},[42,2819,2820],{},"很多企业同时用","：FastGPT 做知识库底座 + Coze 做前端 Bot 发布 \u002F 工作流编排。",[27,2823,841],{"id":841},[227,2825,2826,2839,2848,2854,2864,2876,2882,2888],{},[165,2827,2828,858,2831,2834,2835,2838],{},[42,2829,2830],{},"docker-compose 镜像 tag 不一致",[54,2832,2261],{"href":2051,"rel":2833},[184]," 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 ",[349,2836,2837],{},"image:"," 行为正确版本即可",[165,2840,2841,2844,2845,2847],{},[42,2842,2843],{},"3000 端口冲突","：默认占用 3000（主服务）\u002F 9000（S3 \u002F MinIO）\u002F 3005（MCP）；改 ",[349,2846,2439],{}," 的 ports 映射端口",[165,2849,2850,2853],{},[42,2851,2852],{},"PostgreSQL pgvector 不够用就换 Milvus","：单库索引超 5000 万时 pgvector 查询性能下降，切 Milvus",[165,2855,2856,2859,2860,2863],{},[42,2857,2858],{},"向量库选错代价大","：先评估索引量再选向量后端，迁移要重新 embedding 整库，按 ",[54,2861,2613],{"href":2077,"rel":2862},[184],"：\"新手 \u002F 小规模 PgVector，中大规模 Milvus，企业 \u002F 国产 OceanBase\"",[165,2865,2866,858,2869,2872,2873],{},[42,2867,2868],{},"MinIO 默认密码",[349,2870,2871],{},"minioadmin\u002Fminioadmin","，",[42,2874,2875],{},"部署到公网前必须改",[165,2877,2878,2881],{},[42,2879,2880],{},"分段策略影响巨大","：默认分段对长法律 \u002F 医疗文档不友好，需调\"按章节\"或\"自定义\"",[165,2883,2884,2887],{},[42,2885,2886],{},"嵌入模型 ≠ 对话模型","：经常有人只配 GPT-4 没配 embedding 模型，知识库无法索引——必须同时配两类",[165,2889,2890,2893,2894,1770],{},[42,2891,2892],{},"云版 AI 积分会过期","：未用完不能跨月累积（按 ",[54,2895,2897],{"href":2474,"rel":2896},[184],"fastgpt.io 定价 FAQ",[27,2899,918],{"id":917},[39,2901,921],{},[227,2903,2904,2907,2910,2913,2916,2919],{},[165,2905,2906],{},"企业内部知识库（员工手册 \u002F 制度 \u002F 流程）",[165,2908,2909],{},"产品 FAQ \u002F 用户手册问答",[165,2911,2912],{},"医疗 \u002F 法律 \u002F 金融垂直领域知识系统",[165,2914,2915],{},"数据严格不出网 + Apache 2.0 商用",[165,2917,2918],{},"有 docker 运维基础的技术团队",[165,2920,2921],{},"需要把 RAG 当后端服务的开发者（API 接入业务系统）",[39,2923,944],{},[227,2925,2926,2931,2936,2939],{},[165,2927,2928,2929,1770],{},"完全非技术用户（去 ",[54,2930,57],{"href":56},[165,2932,2933,2934,1770],{},"主要需求是工作流 + 插件集成（去 ",[54,2935,10],{"href":1577},[165,2937,2938],{},"文档解析 \u002F OCR 是首要痛点（RAGFlow）",[165,2940,2941],{},"不想自己运维 + 量很小（FastGPT 云免费版起步即可）",[27,2943,976],{"id":976},[227,2945,2946,2955,2971,2985],{},[165,2947,981,2948,984,2950,2952,2953],{},[54,2949,10],{"href":1577},[54,2951,57],{"href":56}," \u002F RAGFlow \u002F AnythingLLM \u002F ",[54,2954,665],{"href":664},[165,2956,1879,2957,984,2959,984,2963,984,2966,984,2969],{},[54,2958,1001],{"href":1000},[54,2960,2962],{"href":2961},"\u002Fwiki\u002Fembedding.html","Embedding",[54,2964,2965],{"href":2961},"Vector Database",[54,2967,2968],{"href":1000},"Reranker",[54,2970,997],{"href":996},[165,2972,1891,2973,984,2975,984,2977,984,2979,984,2983],{},[54,2974,1023],{"href":1022},[54,2976,1901],{"href":1900},[54,2978,1027],{"href":1026},[54,2980,2982],{"href":2981},"\u002Fmodels\u002Fkimi-k2.html","Kimi K2",[54,2984,1895],{"href":1894},[165,2986,1030,2987,984,2989],{},[54,2988,1038],{"href":1037},[54,2990,1909],{"href":1908},[27,2992,1041],{"id":1041},[227,2994,2995,3001,3007,3013],{},[165,2996,1046,2997],{},[54,2998,2999],{"href":2999,"rel":3000},"https:\u002F\u002Ffastgpt.io",[184],[165,3002,1059,3003],{},[54,3004,3005],{"href":3005,"rel":3006},"https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT",[184],[165,3008,3009,3010],{},"定价：",[54,3011,2474],{"href":2474,"rel":3012},[184],[165,3014,3015],{},"第三方评测：南环 AI \u002F 腾讯云开发者社区 \u002F 飞书 AGI 掘金知识库",[39,3017,3018,3019,1080],{},"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 ",[54,3020,1079],{"href":1078},[1082,3022,3023],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":347,"searchDepth":379,"depth":379,"links":3025},[3026,3027,3035,3036,3037,3038,3039,3040,3041],{"id":29,"depth":369,"text":30},{"id":67,"depth":369,"text":67,"children":3028},[3029,3030,3031,3032,3033,3034],{"id":2085,"depth":379,"text":2086},{"id":2135,"depth":379,"text":2136},{"id":2185,"depth":379,"text":2186},{"id":2249,"depth":379,"text":2249},{"id":2255,"depth":379,"text":2255},{"id":2317,"depth":379,"text":2318},{"id":2352,"depth":369,"text":2353},{"id":2468,"depth":369,"text":2469},{"id":640,"depth":369,"text":640},{"id":841,"depth":369,"text":841},{"id":917,"depth":369,"text":918},{"id":976,"depth":369,"text":976},{"id":1041,"depth":369,"text":1041},"\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。",[1113,1114],{},[1968,1969,1967,3047,3048,3049],"gpt-4o","claude-sonnet-4","kimi",[3051,3052,3053],"完全零代码 \u002F 不懂 docker 的用户（去 Coze）","Bot 多平台一键发布场景（Coze 强项）","插件 \u002F 工作流复杂集成（去 Dify）","\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt",[1121,1122,1123],[3057,3061,3066,3070,3074],{"plan":3058,"price":285,"limit":3059,"cn_pay":1985,"note":3060},"Self-host 开源","全功能 + 全数据本地","Apache 2.0 可商用",{"plan":3062,"price":3063,"limit":3064,"cn_pay":1985,"note":3065},"云免费版","¥0\u002F月","100 AI 积分 + 600 索引 + 3 知识库","试水",{"plan":3067,"price":2538,"limit":3068,"cn_pay":1990,"note":3069},"云基础版","4000 积分 + 6000 索引 + 50 Agent","中小团队 SaaS",{"plan":3071,"price":2563,"limit":3072,"cn_pay":675,"note":3073},"云高级版","25000 积分 + 36000 索引 + 50 成员 + 200 Agent + 1500 QPM","企业级生产",{"plan":3075,"price":1993,"limit":3076,"cn_pay":675,"note":3077},"云定制版","弹性资源 + 深度技术支持 + 专属客户经理","中大型企业","自托管开源免费 \u002F 云版 ¥0-¥599\u002F月",[3080],"onboarding\u002Ffastgpt-getting-started",[1147,1144,1145,1146],{"power":391,"ux":391,"price":406,"cn_support":406,"stability":391},{"title":194,"description":3043},"FastGPT 评测 2026：开源知识库问答平台，AI 工作流引擎，对比 Dify",[3086,3088,3090,3092,3094],{"title":3087,"url":2999},"FastGPT 官网",{"title":3089,"url":3005},"FastGPT GitHub",{"title":3091,"url":2474},"FastGPT 定价页",{"title":3093,"url":2077},"FastGPT 2025 测评（南环 AI）",{"title":3095,"url":2051},"FastGPT 部署教程（腾讯云）","tools\u002Fagent\u002Fplatform\u002Ffastgpt",[3098,3099,3100,3101,3102],"企业内部知识库（员工手册、规章、流程）","产品文档智能问答（FAQ \u002F 用户手册）","垂直领域知识库（医疗、法律、金融）","数据严格不出网的合规场景","需要精细 RAG 流程编排（重排序、混合检索、阈值调节）","开源知识库问答系统，国内私有部署友好",[1167,1168,1169,1170,3105,3106,3107],"china","knowledge-base","labring","国内企业知识库私有化首选。RAG 召回工程做得很细，可视化调试好用，docker-compose 一键部署。生态插件不如 Dify 丰富。","3k7sqE3ueQ8CMIEFNqawWzvX4hGkRy7UVY9-HChmMJM",{"id":3111,"title":665,"alternatives":3112,"api_compatible":3115,"body":3117,"category":1107,"chinese_friendly":379,"cover":3780,"description":3781,"domestic":1976,"extension":1110,"faq":3782,"free":558,"github":3795,"languages":3796,"lastVerified":1116,"meta":3798,"models":1111,"navigation":558,"notSuitable":1111,"opensource":558,"path":3799,"pillar":1119,"platforms":3800,"priceTable":3802,"pricing":3818,"published":3819,"relatedPlaybooks":3820,"relatedReviews":1111,"score":3822,"self_host":558,"seo":3823,"seoTitle":3824,"slug":14,"sources":3825,"stem":3834,"suitable":1111,"tagline":3835,"tags":3836,"updated":1174,"verdict":3839,"website":3742,"__hash__":3840},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n.md",[15,3113,3114],"agent\u002Fprotocol\u002Fcomposio","agent\u002Fgeneral\u002Fopenmanus",[17,18,3116],"Google",{"type":24,"value":3118,"toc":3768},[3119,3121,3124,3127,3130,3204,3206,3231,3236,3240,3245,3271,3276,3302,3306,3433,3436,3464,3467,3470,3619,3622,3683,3685,3711,3713,3733,3735,3765],[27,3120,30],{"id":29},[39,3122,3123],{},"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。",[39,3125,3126],{},"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）。",[27,3128,3129],{"id":3129},"核心能力",[227,3131,3132,3138,3144,3150,3156,3162,3168,3174,3180,3186,3192,3198],{},[165,3133,3134,3137],{},[42,3135,3136],{},"AI Agent 节点","：reasoning loop + 自主工具选择",[165,3139,3140,3143],{},[42,3141,3142],{},"70 LangChain 节点","：LLM \u002F VectorStore \u002F Agent \u002F Tool \u002F Memory 全套",[165,3145,3146,3149],{},[42,3147,3148],{},"原生 MCP","：MCP server 一键挂载到 agent",[165,3151,3152,3155],{},[42,3153,3154],{},"Ollama 集成","：本地 LLM 零 API 成本",[165,3157,3158,3161],{},[42,3159,3160],{},"400+ 集成","：Slack \u002F GitHub \u002F Google \u002F Notion \u002F 主流 SaaS",[165,3163,3164,3167],{},[42,3165,3166],{},"HTTP \u002F Webhook 万能节点","：任意 REST API 都能接",[165,3169,3170,3173],{},[42,3171,3172],{},"Cron \u002F Trigger","：定时 \u002F 事件 \u002F Webhook 触发",[165,3175,3176,3179],{},[42,3177,3178],{},"多分支并行 + 错误处理","：production workflow 必备",[165,3181,3182,3185],{},[42,3183,3184],{},"版本控制 + Git Sync","：workflow as code",[165,3187,3188,3191],{},[42,3189,3190],{},"自托管 Docker \u002F Kubernetes","：一行起 + 水平扩展",[165,3193,3194,3197],{},[42,3195,3196],{},"execution-based 定价","：20 步和 2 步同价（自托管 = 0）",[165,3199,3200,3203],{},[42,3201,3202],{},"5800+ 社区 workflow","：clone 即用",[27,3205,272],{"id":272},[227,3207,3208,3214,3220,3226],{},[165,3209,3210,3213],{},[42,3211,3212],{},"Community Self-host","：$0；全功能 + 不限 execution + 自付 VPS $5-10\u002F月",[165,3215,3216,3219],{},[42,3217,3218],{},"Cloud Starter","：~€20\u002F月；2,500 executions + 5 workflow",[165,3221,3222,3225],{},[42,3223,3224],{},"Cloud Pro","：~€50\u002F月；高 executions + 团队协作",[165,3227,3228,3230],{},[42,3229,315],{},"：联系销售；SSO + LDAP + 私有部署 + SLA",[60,3232,3233],{},[39,3234,3235],{},"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。",[27,3237,3239],{"id":3238},"实测中型团队-saas-迁移-本地-ai","实测（中型团队 SaaS 迁移 + 本地 AI）",[39,3241,3242],{},[42,3243,3244],{},"亮点：",[227,3246,3247,3250,3253,3256,3259,3262,3265,3268],{},[165,3248,3249],{},"自托管成本几乎可忽略：$5\u002F月 VPS 跑几十个 workflow",[165,3251,3252],{},"AI Agent + Ollama 让 LLM 任务零 API 成本",[165,3254,3255],{},"70 LangChain 节点覆盖 RAG \u002F Agent \u002F 多模态",[165,3257,3258],{},"MCP 原生集成让 n8n agent 调用任意 MCP server",[165,3260,3261],{},"5800+ 社区 workflow 节省 80% 上手时间",[165,3263,3264],{},"HTTP \u002F Webhook 万能节点弥补 native 集成缺口",[165,3266,3267],{},"升级 Docker tag 一行，无 vendor 升级费",[165,3269,3270],{},"中文社区 \u002F B 站教程丰富",[39,3272,3273],{},[42,3274,3275],{},"踩坑：",[227,3277,3278,3281,3284,3287,3290,3293,3296,3299],{},[165,3279,3280],{},"集成数（400+）远少于 Zapier（8000+），冷门 SaaS 要写 HTTP 自己接",[165,3282,3283],{},"自托管要懂 Docker \u002F Postgres \u002F Redis（高吞吐场景）",[165,3285,3286],{},"Cloud 定价 execution 计算法与本地不一致，迁移要重算成本",[165,3288,3289],{},"复杂 workflow 调试比 Zapier 难（错误堆栈深）",[165,3291,3292],{},"Sustainable Use License 不是传统 OSI 开源，企业法务要看条款",[165,3294,3295],{},"AI Agent 节点 production 稳定性不如简单线性 flow",[165,3297,3298],{},"Webhook 公网暴露要加 IP 白名单 + secret",[165,3300,3301],{},"Worker 模式才能并发，单进程吞吐有限",[27,3303,3305],{"id":3304},"上手docker-5-分钟","上手（Docker 5 分钟）",[342,3307,3309],{"className":344,"code":3308,"language":346,"meta":347,"style":347},"# 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",[349,3310,3311,3316,3327,3331,3335,3348,3358,3368,3381,3390,3399,3409,3419,3424,3428],{"__ignoreMap":347},[352,3312,3313],{"class":354,"line":355},[352,3314,3315],{"class":409},"# 持久化目录\n",[352,3317,3318,3321,3324],{"class":354,"line":369},[352,3319,3320],{"class":358},"mkdir",[352,3322,3323],{"class":372}," -p",[352,3325,3326],{"class":362}," ~\u002Fn8n-data\n",[352,3328,3329],{"class":354,"line":379},[352,3330,559],{"emptyLinePlaceholder":558},[352,3332,3333],{"class":354,"line":391},[352,3334,2434],{"class":409},[352,3336,3337,3339,3342,3345],{"class":354,"line":406},[352,3338,394],{"class":358},[352,3340,3341],{"class":362}," run",[352,3343,3344],{"class":372}," -d",[352,3346,3347],{"class":372}," \\\n",[352,3349,3350,3353,3356],{"class":354,"line":555},[352,3351,3352],{"class":372},"  --name",[352,3354,3355],{"class":362}," n8n",[352,3357,3347],{"class":372},[352,3359,3360,3363,3366],{"class":354,"line":562},[352,3361,3362],{"class":372},"  -p",[352,3364,3365],{"class":362}," 5678:5678",[352,3367,3347],{"class":372},[352,3369,3370,3373,3376,3379],{"class":354,"line":568},[352,3371,3372],{"class":372},"  -e",[352,3374,3375],{"class":362}," N8N_BASIC_AUTH_ACTIVE=",[352,3377,3378],{"class":372},"true",[352,3380,3347],{"class":372},[352,3382,3383,3385,3388],{"class":354,"line":574},[352,3384,3372],{"class":372},[352,3386,3387],{"class":362}," N8N_BASIC_AUTH_USER=admin",[352,3389,3347],{"class":372},[352,3391,3392,3394,3397],{"class":354,"line":579},[352,3393,3372],{"class":372},[352,3395,3396],{"class":362}," N8N_BASIC_AUTH_PASSWORD=yourpassword",[352,3398,3347],{"class":372},[352,3400,3401,3404,3407],{"class":354,"line":585},[352,3402,3403],{"class":372},"  -v",[352,3405,3406],{"class":362}," ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n",[352,3408,3347],{"class":372},[352,3410,3411,3414,3417],{"class":354,"line":590},[352,3412,3413],{"class":372},"  --restart",[352,3415,3416],{"class":362}," always",[352,3418,3347],{"class":372},[352,3420,3421],{"class":354,"line":596},[352,3422,3423],{"class":362},"  n8nio\u002Fn8n\n",[352,3425,3426],{"class":354,"line":602},[352,3427,559],{"emptyLinePlaceholder":558},[352,3429,3430],{"class":354,"line":2456},[352,3431,3432],{"class":409},"# http:\u002F\u002Flocalhost:5678\n",[39,3434,3435],{},"连 Ollama：",[342,3437,3439],{"className":344,"code":3438,"language":346,"meta":347,"style":347},"ollama serve\nollama pull llama3.2\n# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[349,3440,3441,3449,3459],{"__ignoreMap":347},[352,3442,3443,3446],{"class":354,"line":355},[352,3444,3445],{"class":358},"ollama",[352,3447,3448],{"class":362}," serve\n",[352,3450,3451,3453,3456],{"class":354,"line":369},[352,3452,3445],{"class":358},[352,3454,3455],{"class":362}," pull",[352,3457,3458],{"class":362}," llama3.2\n",[352,3460,3461],{"class":354,"line":379},[352,3462,3463],{"class":409},"# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[39,3465,3466],{},"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。",[27,3468,3469],{"id":3469},"对比",[77,3471,3472,3488],{},[80,3473,3474],{},[83,3475,3476,3478,3480,3483,3486],{},[86,3477,649],{},[86,3479,665],{},[86,3481,3482],{},"Zapier",[86,3484,3485],{},"Make",[86,3487,838],{},[96,3489,3490,3503,3516,3533,3546,3560,3572,3586,3602],{},[83,3491,3492,3494,3497,3499,3501],{},[101,3493,672],{},[101,3495,3496],{},"✅ fair-code",[101,3498,678],{},[101,3500,678],{},[101,3502,2678],{},[83,3504,3505,3507,3510,3512,3514],{},[101,3506,455],{},[101,3508,3509],{},"✅ 旗舰",[101,3511,678],{},[101,3513,678],{},[101,3515,675],{},[83,3517,3518,3521,3524,3527,3530],{},[101,3519,3520],{},"集成数",[101,3522,3523],{},"400+",[101,3525,3526],{},"8000+",[101,3528,3529],{},"2000+",[101,3531,3532],{},"LangChain 原语",[83,3534,3535,3537,3539,3542,3544],{},[101,3536,997],{},[101,3538,3509],{},[101,3540,3541],{},"部分",[101,3543,3541],{},[101,3545,675],{},[83,3547,3548,3551,3554,3556,3558],{},[101,3549,3550],{},"LangChain 节点",[101,3552,3553],{},"✅ 70 个",[101,3555,678],{},[101,3557,678],{},[101,3559,1430],{},[83,3561,3562,3564,3566,3568,3570],{},[101,3563,1004],{},[101,3565,1430],{},[101,3567,678],{},[101,3569,678],{},[101,3571,3541],{},[83,3573,3574,3577,3580,3582,3584],{},[101,3575,3576],{},"Local LLM",[101,3578,3579],{},"✅ Ollama",[101,3581,678],{},[101,3583,678],{},[101,3585,675],{},[83,3587,3588,3591,3594,3597,3600],{},[101,3589,3590],{},"起价",[101,3592,3593],{},"$0 自托管",[101,3595,3596],{},"$29.99\u002F月",[101,3598,3599],{},"$9\u002F月",[101,3601,3593],{},[83,3603,3604,3607,3610,3613,3616],{},[101,3605,3606],{},"适合",[101,3608,3609],{},"开发者 + 高量级",[101,3611,3612],{},"非技术 + 简单",[101,3614,3615],{},"中等复杂",[101,3617,3618],{},"LangChain 工程",[27,3620,3621],{"id":3621},"避坑",[227,3623,3624,3630,3636,3642,3648,3654,3660,3666,3672,3677],{},[165,3625,3626,3629],{},[42,3627,3628],{},"自托管装 Postgres + Redis","：默认 SQLite 高吞吐崩",[165,3631,3632,3635],{},[42,3633,3634],{},"Worker 模式","：高并发要起 worker container 才能并行",[165,3637,3638,3641],{},[42,3639,3640],{},"Webhook 加防护","：公网 Webhook 加 IP 白名单 \u002F secret \u002F nginx",[165,3643,3644,3647],{},[42,3645,3646],{},"数据加密","：n8n encryption key 设强随机值，备份要带 key",[165,3649,3650,3653],{},[42,3651,3652],{},"Cloud vs Self-host 成本","：>2k execution\u002F月 自托管更省",[165,3655,3656,3659],{},[42,3657,3658],{},"集成缺失","：冷门 SaaS 用 HTTP Request + curl 等价",[165,3661,3662,3665],{},[42,3663,3664],{},"AI Agent 稳定性","：生产关键流先用线性节点，agent 留给探索任务",[165,3667,3668,3671],{},[42,3669,3670],{},"license 法务","：Sustainable Use License 给法务看一遍，企业内部用没问题",[165,3673,3674,3676],{},[42,3675,3202],{},"：导入前看作者 + star 数 + 不要直接生产用，要 review",[165,3678,3679,3682],{},[42,3680,3681],{},"monitoring","：生产部署加 prometheus + 错误告警",[27,3684,918],{"id":917},[227,3686,3687,3690,3693,3696,3699,3702,3705,3708],{},[165,3688,3689],{},"✅ 开发者 + 完全控制 + 高量级自动化",[165,3691,3692],{},"✅ 从 Zapier \u002F Make 迁出降本",[165,3694,3695],{},"✅ AI Agent + LangChain + MCP 一体",[165,3697,3698],{},"✅ 合规 \u002F 数据驻留 \u002F 自托管需求",[165,3700,3701],{},"❌ 非技术 + 要 8000+ 现成集成（用 Zapier）",[165,3703,3704],{},"❌ 完全不愿自托管 + 不想付 Cloud",[165,3706,3707],{},"❌ 纯研究 \u002F 学术 agent（用 OpenManus）",[165,3709,3710],{},"❌ 极简 2-step 自动化（Zapier 更快）",[27,3712,976],{"id":976},[227,3714,3715,3721,3727],{},[165,3716,3717],{},[54,3718,3720],{"href":3719},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[165,3722,3723],{},[54,3724,3726],{"href":3725},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[165,3728,3729],{},[54,3730,3732],{"href":3731},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus","OpenManus 评测",[27,3734,1041],{"id":1041},[162,3736,3737,3744,3751,3758],{},[165,3738,3739,3740],{},"n8n 官网 ",[54,3741,3742],{"href":3742,"rel":3743},"https:\u002F\u002Fn8n.io",[184],[165,3745,3746,3747],{},"AutomationByExperts — n8n 2026 200k users 5x ARR ",[54,3748,3749],{"href":3749,"rel":3750},"https:\u002F\u002Fautomationbyexperts.com\u002Fblog\u002Fn8n-ai-workflow-automation-guide-2026",[184],[165,3752,3753,3754],{},"Tutorials Technology — n8n + AI on Linux 2026（Docker + Ollama）",[54,3755,3756],{"href":3756,"rel":3757},"https:\u002F\u002Ftutorials.technology\u002Ftutorials\u002Fn8n-ai-workflows-linux-2026.html",[184],[165,3759,3760,3761],{},"Northflank — n8n Self-host Architecture + Pricing 2026 ",[54,3762,3763],{"href":3763,"rel":3764},"https:\u002F\u002Fnorthflank.com\u002Fblog\u002Fhow-to-self-host-n8n-setup-architecture-and-pricing-guide",[184],[1082,3766,3767],{},"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":347,"searchDepth":379,"depth":379,"links":3769},[3770,3771,3772,3773,3774,3775,3776,3777,3778,3779],{"id":29,"depth":369,"text":30},{"id":3129,"depth":369,"text":3129},{"id":272,"depth":369,"text":272},{"id":3238,"depth":369,"text":3239},{"id":3304,"depth":369,"text":3305},{"id":3469,"depth":369,"text":3469},{"id":3621,"depth":369,"text":3621},{"id":917,"depth":369,"text":918},{"id":976,"depth":369,"text":976},{"id":1041,"depth":369,"text":1041},"\u002Fimg\u002Ftools\u002Fn8n.webp","n8n 2026 真实评测：开源自托管自动化平台和 AI Agent 工作流工具，支持 LangChain 节点、MCP、Ollama、OpenAI、Webhook、400+ 集成和 execution-based 定价。本文对比 Zapier、Make、Dify，整理自托管成本、适合场景和避坑建议。",[3783,3786,3789,3792],{"q":3784,"a":3785},"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":3787,"a":3788},"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":3790,"a":3791},"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":3793,"a":3794},"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。","https:\u002F\u002Fgithub.com\u002Fn8n-io\u002Fn8n",[1114,3797],"multi",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n",[1169,3801,394,1979],"cloud",[3803,3807,3811,3815],{"plan":3804,"price":468,"features":3805,"notes":3806},"Community (Self-host)","全部功能 + 不限执行 + 不限 workflow + Sustainable Use License","VPS $5-10\u002F月",{"plan":3218,"price":3808,"features":3809,"notes":3810},"~€20\u002F月","2,500 executions + 5 workflow + 基础集成","试水 \u002F 小团队",{"plan":3224,"price":3812,"features":3813,"notes":3814},"~€50\u002F月","更高 executions + 团队协作 + 高级特性","中型团队",{"plan":315,"price":318,"features":3816,"notes":3817},"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","2026-06-19",[3821],"onboarding\u002Fn8n-ollama-automation",{"power":406,"ux":391,"price":406,"cn_support":379,"stability":406},{"title":665,"description":3781},"n8n 评测 2026：开源自托管自动化平台，AI Agent 工作流首选",[3826,3828,3830,3832],{"name":3827,"url":3742,"accessed":1174},"n8n 官网",{"name":3829,"url":3749,"accessed":1174},"AutomationByExperts — n8n 2026 200k users 5x ARR",{"name":3831,"url":3756,"accessed":1174},"Tutorials Technology — n8n + AI on Linux 2026",{"name":3833,"url":3763,"accessed":1174},"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",[1168,1171,3837,3838,1173,1169,665],"automation","langchain","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。","-iDDIKwjGjB9NT7Qxs4dB1VzNj1sd4TtsHpoVRTDw9A",{"id":3842,"title":838,"alternatives":3843,"api_compatible":3844,"body":3845,"category":1107,"chinese_friendly":379,"cover":4397,"description":4398,"domestic":1976,"extension":1110,"faq":4399,"free":558,"github":4412,"languages":4413,"lastVerified":1116,"meta":4414,"models":1111,"navigation":558,"notSuitable":1111,"opensource":558,"path":3719,"pillar":1119,"platforms":4415,"priceTable":4416,"pricing":4429,"published":3819,"relatedPlaybooks":4430,"relatedReviews":1111,"score":4432,"self_host":558,"seo":4433,"seoTitle":4434,"slug":15,"sources":4435,"stem":4445,"suitable":1111,"tagline":4446,"tags":4447,"updated":1174,"verdict":4450,"website":4438,"__hash__":4451},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow.md",[14,3113,3114],[17,18,19,20,21,22],{"type":24,"value":3846,"toc":4385},[3847,3849,3852,3855,3857,3931,3933,3958,3963,3967,3971,3997,4001,4027,4029,4083,4086,4109,4111,4249,4251,4306,4308,4334,4336,4351,4353,4383],[27,3848,30],{"id":29},[39,3850,3851],{},"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。",[39,3853,3854],{},"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）。",[27,3856,3129],{"id":3129},[227,3858,3859,3865,3871,3877,3883,3889,3895,3901,3907,3913,3919,3925],{},[165,3860,3861,3864],{},[42,3862,3863],{},"可视化 LangChain 画布","：节点 = primitive，连线 = 数据流",[165,3866,3867,3870],{},[42,3868,3869],{},"RAG pipeline 原生组件","：Chunking \u002F Embedding \u002F VectorStore \u002F Retriever",[165,3872,3873,3876],{},[42,3874,3875],{},"多 agent 工作流","：编排多 agent 协作",[165,3878,3879,3882],{},[42,3880,3881],{},"Python 下钻","：任意节点可写 custom Python",[165,3884,3885,3888],{},[42,3886,3887],{},"向量库适配","：Astra DB \u002F Pinecone \u002F pgvector \u002F Weaviate \u002F Chroma",[165,3890,3891,3894],{},[42,3892,3893],{},"API 部署","：流程一键导出为 REST API",[165,3896,3897,3900],{},[42,3898,3899],{},"Real-time collaboration","：多用户同 project",[165,3902,3903,3906],{},[42,3904,3905],{},"版本控制","：内置 versioning + revert",[165,3908,3909,3912],{},[42,3910,3911],{},"数据可视化","：node output \u002F data flow 可视化调试",[165,3914,3915,3918],{},[42,3916,3917],{},"角色权限","：user auth + RBAC",[165,3920,3921,3924],{},[42,3922,3923],{},"Docker \u002F pip 安装","：5 分钟启动",[165,3926,3927,3930],{},[42,3928,3929],{},"Astra-hosted cloud","：DataStax 托管选项",[27,3932,272],{"id":272},[227,3934,3935,3941,3947,3953],{},[165,3936,3937,3940],{},[42,3938,3939],{},"Self-Host (OSS)","：$0；MIT 完全免费，自付 LLM API + 服务器",[165,3942,3943,3946],{},[42,3944,3945],{},"Cloud Free","：$0；DataStax Astra-hosted 小流量",[165,3948,3949,3952],{},[42,3950,3951],{},"Cloud Paid","：~$25\u002F月起；Astra DB + 更高额度 + 团队协作",[165,3954,3955,3957],{},[42,3956,315],{},"：联系销售；SSO + audit + 私有部署 + SLA",[60,3959,3960],{},[39,3961,3962],{},"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。",[27,3964,3966],{"id":3965},"实测rag-应用-内部工具搭建","实测（RAG 应用 + 内部工具搭建）",[39,3968,3969],{},[42,3970,3244],{},[227,3972,3973,3976,3979,3982,3985,3988,3991,3994],{},[165,3974,3975],{},"画布直观，比纯写 LangChain 协作效率高 5x",[165,3977,3978],{},"节点下钻到 Python 让灵活度不被画布限制",[165,3980,3981],{},"Astra DB 集成省了配 vector store 时间",[165,3983,3984],{},"4.4\u002F5 用户评分（Propicked \u002F Tooliverse）",[165,3986,3987],{},"开源 + 自托管 + 数据驻留满足合规",[165,3989,3990],{},"多 agent 编排比裸 LangChain 调试容易",[165,3992,3993],{},"RAG pipeline 模板一键起 demo",[165,3995,3996],{},"与 DataStax 长期支持降低 abandon ware 风险",[39,3998,3999],{},[42,4000,3275],{},[227,4002,4003,4006,4009,4012,4015,4018,4021,4024],{},[165,4004,4005],{},"稳定性偶发：复杂流大流量下 node 偶尔失联（SelectHub 反馈）",[165,4007,4008],{},"第三方 API 依赖：external API 失败时错误处理弱",[165,4010,4011],{},"production readiness 不算 mission-critical（要自加 observability）",[165,4013,4014],{},"LangChain 升级偶尔 break 旧 flow",[165,4016,4017],{},"文档对新组件滞后 1-2 月",[165,4019,4020],{},"中文 UI 不完整，业务侧用户上手陡",[165,4022,4023],{},"大型 flow（100+ 节点）画布卡顿",[165,4025,4026],{},"多人协作偶发同步冲突",[27,4028,2730],{"id":2730},[342,4030,4032],{"className":344,"code":4031,"language":346,"meta":347,"style":347},"# 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",[349,4033,4034,4039,4050,4060,4064,4069],{"__ignoreMap":347},[352,4035,4036],{"class":354,"line":355},[352,4037,4038],{"class":409},"# pip 安装\n",[352,4040,4041,4044,4047],{"class":354,"line":369},[352,4042,4043],{"class":358},"pip",[352,4045,4046],{"class":362}," install",[352,4048,4049],{"class":362}," langflow\n",[352,4051,4052,4055,4057],{"class":354,"line":379},[352,4053,4054],{"class":358},"langflow",[352,4056,3341],{"class":362},[352,4058,4059],{"class":409},"  # http:\u002F\u002Flocalhost:7860\n",[352,4061,4062],{"class":354,"line":391},[352,4063,559],{"emptyLinePlaceholder":558},[352,4065,4066],{"class":354,"line":406},[352,4067,4068],{"class":409},"# 或 Docker\n",[352,4070,4071,4073,4075,4077,4080],{"class":354,"line":555},[352,4072,394],{"class":358},[352,4074,3341],{"class":362},[352,4076,3323],{"class":372},[352,4078,4079],{"class":362}," 7860:7860",[352,4081,4082],{"class":362}," langflowai\u002Flangflow:latest\n",[39,4084,4085],{},"试 RAG 流：",[162,4087,4088,4091,4094,4097,4100,4103,4106],{},[165,4089,4090],{},"新建 flow → 选 Document QA 模板",[165,4092,4093],{},"Document Loader 节点 → 上传 PDF",[165,4095,4096],{},"Splitter → Embedder（OpenAI 或本地）",[165,4098,4099],{},"VectorStore（Astra \u002F Chroma）",[165,4101,4102],{},"Retriever + ChatOpenAI → Chat Output",[165,4104,4105],{},"部署为 API → 拿到 endpoint",[165,4107,4108],{},"复杂场景下钻节点写 Python 自定义",[27,4110,3469],{"id":3469},[77,4112,4113,4128],{},[80,4114,4115],{},[83,4116,4117,4119,4121,4123,4125],{},[86,4118,649],{},[86,4120,838],{},[86,4122,10],{},[86,4124,665],{},[86,4126,4127],{},"Flowise",[96,4129,4130,4147,4161,4175,4188,4203,4216,4233],{},[83,4131,4132,4135,4138,4141,4144],{},[101,4133,4134],{},"中心",[101,4136,4137],{},"LangChain primitive",[101,4139,4140],{},"LLMOps 全平台",[101,4142,4143],{},"通用 workflow",[101,4145,4146],{},"LangChain（JS）",[83,4148,4149,4151,4153,4156,4159],{},[101,4150,672],{},[101,4152,2678],{},[101,4154,4155],{},"✅ AGPL",[101,4157,4158],{},"✅ Sustainable",[101,4160,2678],{},[83,4162,4163,4165,4168,4171,4173],{},[101,4164,455],{},[101,4166,4167],{},"✅ pip\u002FDocker",[101,4169,4170],{},"✅ Docker",[101,4172,4170],{},[101,4174,675],{},[83,4176,4177,4180,4182,4184,4186],{},[101,4178,4179],{},"可视化",[101,4181,3509],{},[101,4183,675],{},[101,4185,675],{},[101,4187,675],{},[83,4189,4190,4193,4196,4198,4201],{},[101,4191,4192],{},"代码下钻",[101,4194,4195],{},"✅ Python",[101,4197,3541],{},[101,4199,4200],{},"✅ JS",[101,4202,4200],{},[83,4204,4205,4208,4210,4212,4214],{},[101,4206,4207],{},"RAG 内置",[101,4209,675],{},[101,4211,675],{},[101,4213,3541],{},[101,4215,675],{},[83,4217,4218,4221,4224,4227,4230],{},[101,4219,4220],{},"起价（云）",[101,4222,4223],{},"$25\u002F月",[101,4225,4226],{},"$59\u002F月（Team）",[101,4228,4229],{},"自托管 $0",[101,4231,4232],{},"–",[83,4234,4235,4237,4240,4243,4246],{},[101,4236,3606],{},[101,4238,4239],{},"工程 + LangChain",[101,4241,4242],{},"业务 + LLMOps",[101,4244,4245],{},"通用自动化",[101,4247,4248],{},"JS 生态",[27,4250,3621],{"id":3621},[227,4252,4253,4259,4265,4271,4277,4283,4289,4295,4300],{},[165,4254,4255,4258],{},[42,4256,4257],{},"自托管推荐 Docker","：pip 版本依赖冲突难调",[165,4260,4261,4264],{},[42,4262,4263],{},"生产加 observability","：langsmith \u002F sentry \u002F prometheus 必装",[165,4266,4267,4270],{},[42,4268,4269],{},"Astra DB cloud free","：起步够用，付费版起步前算清成本",[165,4272,4273,4276],{},[42,4274,4275],{},"复杂 flow 拆模块","：100+ 节点画布卡顿，拆成子 flow",[165,4278,4279,4282],{},[42,4280,4281],{},"LangChain 版本 pin","：Langflow 升级前测试 flow 兼容性",[165,4284,4285,4288],{},[42,4286,4287],{},"第三方 API 加重试","：custom Python 节点写 retry + fallback",[165,4290,4291,4294],{},[42,4292,4293],{},"多人协作 lock","：同时编辑 flow 容易冲突，加 lock 流程",[165,4296,4297,4299],{},[42,4298,759],{},"：UI 英文为主，业务侧用户先培训",[165,4301,4302,4305],{},[42,4303,4304],{},"Self-host vs Cloud","：合规要 self-host，省心要 Cloud",[27,4307,918],{"id":917},[227,4309,4310,4313,4316,4319,4322,4325,4328,4331],{},[165,4311,4312],{},"✅ 工程团队要可视化建 LangChain 流",[165,4314,4315],{},"✅ 合规 \u002F 数据驻留要求自托管",[165,4317,4318],{},"✅ 要 Astra DB 一站式 RAG",[165,4320,4321],{},"✅ Python 团队 + 想画布 + 想下钻代码",[165,4323,4324],{},"❌ 业务侧 + 非工程师（用 Dify \u002F Coze）",[165,4326,4327],{},"❌ 纯无代码偏好",[165,4329,4330],{},"❌ 轻量场景 + 直接写 LangChain 更快",[165,4332,4333],{},"❌ JS 生态优先（用 Flowise）",[27,4335,976],{"id":976},[227,4337,4338,4343,4347],{},[165,4339,4340],{},[54,4341,4342],{"href":3799},"n8n 评测",[165,4344,4345],{},[54,4346,3726],{"href":3725},[165,4348,4349],{},[54,4350,3732],{"href":3731},[27,4352,1041],{"id":1041},[162,4354,4355,4362,4369,4376],{},[165,4356,4357,4358],{},"Langflow 官网 + 定价 ",[54,4359,4360],{"href":4360,"rel":4361},"https:\u002F\u002Fwww.langflow.org\u002Fpricing",[184],[165,4363,4364,4365],{},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison ",[54,4366,4367],{"href":4367,"rel":4368},"https:\u002F\u002Fautomationatlas.io\u002Ftools\u002Flangflow",[184],[165,4370,4371,4372],{},"xpay — LangFlow 2026 Visual AI Agent Builder（MIT + DataStax）",[54,4373,4374],{"href":4374,"rel":4375},"https:\u002F\u002Fwww.xpay.sh\u002Fresources\u002Fagentic-frameworks\u002Flangflow",[184],[165,4377,4378,4379],{},"SelectHub — LangFlow Reviews 2026（稳定性 + 生产 readiness）",[54,4380,4381],{"href":4381,"rel":4382},"https:\u002F\u002Fwww.selecthub.com\u002Fp\u002Fai-agent-builder-software\u002Flangflow\u002F",[184],[1082,4384,3023],{},{"title":347,"searchDepth":379,"depth":379,"links":4386},[4387,4388,4389,4390,4391,4392,4393,4394,4395,4396],{"id":29,"depth":369,"text":30},{"id":3129,"depth":369,"text":3129},{"id":272,"depth":369,"text":272},{"id":3965,"depth":369,"text":3966},{"id":2730,"depth":369,"text":2730},{"id":3469,"depth":369,"text":3469},{"id":3621,"depth":369,"text":3621},{"id":917,"depth":369,"text":918},{"id":976,"depth":369,"text":976},{"id":1041,"depth":369,"text":1041},"\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。",[4400,4403,4406,4409],{"q":4401,"a":4402},"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":4404,"a":4405},"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":4407,"a":4408},"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":4410,"a":4411},"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。","https:\u002F\u002Fgithub.com\u002Flangflow-ai\u002Flangflow",[1114,3797],{},[1169,3801,394,1979],[4417,4420,4422,4426],{"plan":3939,"price":468,"features":4418,"notes":4419},"MIT + pip\u002FDocker + 全部组件 + Pinecone\u002Fpgvector\u002FAstra 适配","自付 LLM API + 服务器",{"plan":3945,"price":468,"features":4421,"notes":3065},"DataStax 托管 + 小流量",{"plan":3951,"price":4423,"features":4424,"notes":4425},"~$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":315,"price":318,"features":4427,"notes":4428},"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）",[4431],"onboarding\u002Frag-app-workflow",{"power":391,"ux":406,"price":406,"cn_support":379,"stability":391},{"title":838,"description":4398},"Langflow 评测 2026：可视化 AI 工作流构建工具，LangChain 低代码平台",[4436,4439,4441,4443],{"name":4437,"url":4438,"accessed":1174},"Langflow 官网","https:\u002F\u002Fwww.langflow.org",{"name":4440,"url":4367,"accessed":1174},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison",{"name":4442,"url":4374,"accessed":1174},"xpay — LangFlow 2026 Visual AI Agent Builder",{"name":4444,"url":4381,"accessed":1174},"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",[1168,4448,3838,1170,4449,4054],"visual-builder","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。","PNaJCu7eJDsH8LhAlO7CJ5JmktlB6hCq0vbBojxlTeM",1785660639357]