[{"data":1,"prerenderedAt":2088},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-coze-vs-fastgpt":9,"compare-a-coze":10,"compare-b-fastgpt":968},{"tools":4,"reviews":5},78,26,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,21,null,{"id":11,"title":12,"alternatives":13,"api_compatible":17,"body":18,"category":881,"chinese_friendly":882,"cover":883,"description":884,"domestic":885,"extension":886,"faq":9,"free":885,"github":9,"languages":887,"lastVerified":9,"meta":890,"models":891,"navigation":897,"notSuitable":898,"opensource":885,"path":902,"pillar":903,"platforms":904,"priceTable":906,"pricing":927,"published":928,"relatedPlaybooks":9,"relatedReviews":929,"score":934,"self_host":885,"seo":936,"seoTitle":937,"slug":938,"sources":939,"stem":950,"suitable":951,"tagline":957,"tags":958,"updated":965,"verdict":966,"website":47,"__hash__":967},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md","Coze",[14,15,16],"agent\u002Fplatform\u002Fdify","agent\u002Fplatform\u002Ffastgpt","agent\u002Fplatform\u002Fyuanqi",[],{"type":19,"value":20,"toc":862},"minimark",[21,26,71,77,80,85,88,104,113,163,172,176,179,211,219,223,226,246,250,338,348,351,354,374,383,387,424,427,430,575,591,622,625,699,703,706,723,726,756,759,824,827,854],[22,23,25],"h2",{"id":24},"tldr","TL;DR",[27,28,33,58],"div",{"className":29},[30,31,32],"card","p-5","my-4",[34,35,36,40,41,57],"p",{},[37,38,39],"strong",{},"一句话："," 字节跳动出品的低代码 Agent 平台，",[37,42,43,44,51,52],{},"国内版 ",[45,46,50],"a",{"href":47,"rel":48},"https:\u002F\u002Fwww.coze.cn",[49],"nofollow","coze.cn","（中文叫\"扣子\"）+ 国际版 ",[45,53,56],{"href":54,"rel":55},"https:\u002F\u002Fwww.coze.com",[49],"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。",[34,59,60,61,64,65,70],{},"最大价值是 ",[37,62,63],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[45,66,69],{"href":67,"rel":68},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[49],"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\"。",[72,73,74],"blockquote",{},[34,75,76],{},"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。",[22,78,79],{"id":79},"核心特性",[81,82,84],"h3",{"id":83},"可视化工作流最大卖点","可视化工作流（最大卖点）",[34,86,87],{},"Coze 把 Agent 拆成两层：",[89,90,91,98],"ul",{},[92,93,94,97],"li",{},[37,95,96],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[92,99,100,103],{},[37,101,102],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署",[34,105,106,107,112],{},"工作流节点类型（基于 ",[45,108,111],{"href":109,"rel":110},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[49],"火山引擎社区 2025 实战","）：",[89,114,115,121,127,133,139,145,151,157],{},[92,116,117,120],{},[37,118,119],{},"开始 \u002F 结束节点","：输入输出",[92,122,123,126],{},[37,124,125],{},"大模型节点","：调豆包 \u002F GPT \u002F Claude 任一模型",[92,128,129,132],{},[37,130,131],{},"代码节点","：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[92,134,135,138],{},[37,136,137],{},"循环节点","：批量处理多条数据",[92,140,141,144],{},[37,142,143],{},"条件节点","：分支判断",[92,146,147,150],{},[37,148,149],{},"插件节点","：调 Coze 插件市场的工具",[92,152,153,156],{},[37,154,155],{},"知识库节点","：RAG 检索",[92,158,159,162],{},[37,160,161],{},"HTTP 节点","：调外部 API",[34,164,165,166,171],{},"典型用例（参考 ",[45,167,170],{"href":168,"rel":169},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[49],"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。",[81,173,175],{"id":174},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[34,177,178],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[89,180,181,187,193,199,205],{},[92,182,183,186],{},[37,184,185],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[92,188,189,192],{},[37,190,191],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[92,194,195,198],{},[37,196,197],{},"联网搜索","：实时网页检索",[92,200,201,204],{},[37,202,203],{},"代码执行","：在线运行 Python",[92,206,207,210],{},[37,208,209],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[34,212,213,218],{},[45,214,217],{"href":215,"rel":216},"https:\u002F\u002Fkouziai.github.io\u002F",[49],"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。",[81,220,222],{"id":221},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[34,224,225],{},"发布渠道：",[89,227,228,231,234,237,240,243],{},[92,229,230],{},"飞书机器人（一键绑）",[92,232,233],{},"抖音 \u002F 头条号",[92,235,236],{},"微信小程序 \u002F 公众号（部分需企业认证）",[92,238,239],{},"自定义网页嵌入",[92,241,242],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[92,244,245],{},"Discord（国际版）",[81,247,249],{"id":248},"国内版-vs-国际版","国内版 vs 国际版",[251,252,253,269],"table",{},[254,255,256],"thead",{},[257,258,259,263,266],"tr",{},[260,261,262],"th",{},"维度",[260,264,265],{},"扣子（coze.cn）",[260,267,268],{},"Coze（coze.com）",[270,271,272,284,295,305,316,327],"tbody",{},[257,273,274,278,281],{},[275,276,277],"td",{},"主力模型",[275,279,280],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[275,282,283],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[257,285,286,289,292],{},[275,287,288],{},"飞书 \u002F 抖音 \u002F 微信集成",[275,290,291],{},"✅ 原生",[275,293,294],{},"❌",[257,296,297,300,303],{},[275,298,299],{},"Discord \u002F Slack 集成",[275,301,302],{},"⚠️ 有限",[275,304,291],{},[257,306,307,310,313],{},[275,308,309],{},"数据存储位置",[275,311,312],{},"国内",[275,314,315],{},"海外",[257,317,318,321,324],{},[275,319,320],{},"支付",[275,322,323],{},"微信 \u002F 支付宝",[275,325,326],{},"海外信用卡",[257,328,329,332,335],{},[275,330,331],{},"内容合规",[275,333,334],{},"严格审核",[275,336,337],{},"宽松",[34,339,340,343,344,347],{},[37,341,342],{},"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 ",[37,345,346],{},"不互通","。",[22,349,350],{"id":350},"价格与运行成本",[34,352,353],{},"国内版（扣子）：",[89,355,356,362,368],{},[92,357,358,361],{},[37,359,360],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[92,363,364,367],{},[37,365,366],{},"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",[92,369,370,373],{},[37,371,372],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[34,375,376,377,382],{},"国际版（coze.com）的定价模式据 ",[45,378,381],{"href":379,"rel":380},"https:\u002F\u002Fdocs.coze.com\u002F",[49],"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。",[22,384,386],{"id":385},"上手-10-分钟","上手 10 分钟",[388,389,390,403,406,409,412,415,418,421],"ol",{},[92,391,392,393,397,398,402],{},"打开 ",[45,394,396],{"href":47,"rel":395},[49],"www.coze.cn","（国内）或 ",[45,399,401],{"href":54,"rel":400},[49],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[92,404,405],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[92,407,408],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[92,410,411],{},"写 Bot 角色 prompt",[92,413,414],{},"可选：上传 PDF \u002F 文档建知识库",[92,416,417],{},"测试一下对话效果",[92,419,420],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[92,422,423],{},"拿到调用 URL \u002F 飞书机器人 webhook",[34,425,426],{},"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。",[22,428,429],{"id":429},"与同类怎么选",[251,431,432,458],{},[254,433,434],{},[257,435,436,438,440,446,452],{},[260,437,262],{},[260,439,12],{},[260,441,442],{},[45,443,445],{"href":444},"\u002Fagent\u002Fplatform\u002Fdify.html","Dify",[260,447,448],{},[45,449,451],{"href":450},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT",[260,453,454],{},[45,455,457],{"href":456},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[270,459,460,474,489,505,521,534,548,562],{},[257,461,462,465,467,470,472],{},[275,463,464],{},"开源",[275,466,294],{},[275,468,469],{},"✅",[275,471,469],{},[275,473,294],{},[257,475,476,479,482,484,486],{},[275,477,478],{},"私有部署",[275,480,481],{},"⚠️ 仅企业版",[275,483,469],{},[275,485,469],{},[275,487,488],{},"⚠️",[257,490,491,494,497,500,502],{},[275,492,493],{},"上手难度",[275,495,496],{},"★ 最简单",[275,498,499],{},"★★★",[275,501,499],{},[275,503,504],{},"★★",[257,506,507,510,513,516,519],{},[275,508,509],{},"工作流编排",[275,511,512],{},"★★★★☆",[275,514,515],{},"★★★★★",[275,517,518],{},"★★★☆☆",[275,520,518],{},[257,522,523,526,528,530,532],{},[275,524,525],{},"RAG 精度",[275,527,518],{},[275,529,512],{},[275,531,515],{},[275,533,518],{},[257,535,536,539,541,543,545],{},[275,537,538],{},"字节生态",[275,540,515],{},[275,542,294],{},[275,544,294],{},[275,546,547],{},"❌（腾讯系）",[257,549,550,553,556,558,560],{},[275,551,552],{},"插件市场",[275,554,555],{},"★★★★★ 200+",[275,557,518],{},[275,559,518],{},[275,561,518],{},[257,563,564,567,569,571,573],{},[275,565,566],{},"中文社区",[275,568,515],{},[275,570,512],{},[275,572,512],{},[275,574,512],{},[34,576,577,580,581,586,587,112],{},[37,578,579],{},"怎么选","（综合 ",[45,582,585],{"href":583,"rel":584},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[49],"BestHub 2025-07"," 和 ",[45,588,590],{"href":67,"rel":589},[49],"博客园 2026-01",[89,592,593,599,607,614],{},[92,594,595,598],{},[37,596,597],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[92,600,601,604,605],{},[37,602,603],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队"," → ",[45,606,445],{"href":444},[92,608,609,604,612],{},[37,610,611],{},"核心场景就是企业知识库 QA",[45,613,451],{"href":450},[92,615,616,604,619],{},[37,617,618],{},"QQ \u002F 微信生态 + 腾讯系",[45,620,621],{"href":456},"元器",[22,623,624],{"id":624},"避坑清单",[89,626,627,637,643,659,669,675,687,693],{},[92,628,629,632,633,636],{},[37,630,631],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[37,634,635],{},"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",[92,638,639,642],{},[37,640,641],{},"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",[92,644,645,648,649,653,654,658],{},[37,646,647],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[650,651,652],"code",{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[45,655,657],{"href":109,"rel":656},[49],"火山引擎 2025 教程","）",[92,660,661,664,665,668],{},[37,662,663],{},"工作流读取飞书表格默认 20 条","：要改 ",[650,666,667],{},"page_size","，最大 500 条；超过 500 要分页或循环",[92,670,671,674],{},[37,672,673],{},"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",[92,676,677,680,681,683,684,686],{},[37,678,679],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[45,682,445],{"href":444}," \u002F ",[45,685,451],{"href":450}," 自托管",[92,688,689,692],{},[37,690,691],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[92,694,695,698],{},[37,696,697],{},"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",[22,700,702],{"id":701},"适合-不适合","适合 \u002F 不适合",[34,704,705],{},"✅ 适合：",[89,707,708,711,714,717,720],{},[92,709,710],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[92,712,713],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[92,715,716],{},"个人副业（小红书账号批量内容生成等）",[92,718,719],{},"中小企业客服 Bot（3 天上线）",[92,721,722],{},"想用豆包 \u002F DeepSeek 国产模型的人",[34,724,725],{},"❌ 不适合：",[89,727,728,731,734,739,746],{},[92,729,730],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[92,732,733],{},"复杂业务系统深度集成（自由度不够）",[92,735,736,737,658],{},"反感字节生态（去 ",[45,738,445],{"href":444},[92,740,741,742,683,744,658],{},"希望开源 \u002F 完全自主可控（去 ",[45,743,445],{"href":444},[45,745,451],{"href":450},[92,747,748,749,683,751,755],{},"海外 toB SaaS 产品后端（",[45,750,445],{"href":444},[45,752,754],{"href":753},"\u002Fagent\u002Fplatform\u002Flangflow.html","Langflow"," 更合适）",[22,757,758],{"id":758},"相关阅读",[89,760,761,776,794,813],{},[92,762,763,764,683,766,683,768,683,770,683,772],{},"同类对比：",[45,765,445],{"href":444},[45,767,451],{"href":450},[45,769,621],{"href":456},[45,771,754],{"href":753},[45,773,775],{"href":774},"\u002Fagent\u002Fplatform\u002Fn8n.html","n8n",[92,777,778,779,683,783,683,787,683,791],{},"概念：",[45,780,782],{"href":781},"\u002Fwiki\u002Fai-agent.html","AI Agent",[45,784,786],{"href":785},"\u002Fwiki\u002Frag.html","RAG",[45,788,790],{"href":789},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[45,792,793],{"href":781},"Multi-Agent",[92,795,796,797,683,801,683,805,683,809],{},"模型：",[45,798,800],{"href":799},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[45,802,804],{"href":803},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[45,806,808],{"href":807},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[45,810,812],{"href":811},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[92,814,815,816,683,820],{},"进阶：",[45,817,819],{"href":818},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[45,821,823],{"href":822},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[22,825,826],{"id":826},"来源",[89,828,829,835,841,848,851],{},[92,830,831,832],{},"国内版：",[45,833,47],{"href":47,"rel":834},[49],[92,836,837,838],{},"国际版：",[45,839,54],{"href":54,"rel":840},[49],[92,842,843,844],{},"官方文档：",[45,845,846],{"href":846,"rel":847},"https:\u002F\u002Fdocs.coze.com",[49],[92,849,850],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[92,852,853],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[34,855,856,857,861],{},"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 ",[45,858,860],{"href":859},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",{"title":863,"searchDepth":864,"depth":864,"links":865},"",3,[866,868,874,875,876,877,878,879,880],{"id":24,"depth":867,"text":25},2,{"id":79,"depth":867,"text":79,"children":869},[870,871,872,873],{"id":83,"depth":864,"text":84},{"id":174,"depth":864,"text":175},{"id":221,"depth":864,"text":222},{"id":248,"depth":864,"text":249},{"id":350,"depth":867,"text":350},{"id":385,"depth":867,"text":386},{"id":429,"depth":867,"text":429},{"id":624,"depth":867,"text":624},{"id":701,"depth":867,"text":702},{"id":758,"depth":867,"text":758},{"id":826,"depth":867,"text":826},"platform",5,"\u002Fimg\u002Ftools\u002Fcoze.webp","Coze 扣子 2026 真实评测：字节低代码 AI Agent 平台，支持可视化工作流、插件市场、知识库和 Bot 发布。本文对比 Dify、FastGPT、n8n，梳理国内版\u002F国际版差异、价格、适合场景和避坑建议。",false,"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":366,"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":372,"price":919,"limit":920,"cn_pay":469,"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",[930,931,932,933],"coze-deep-review","coze-vs-dify","dify-deep-review","fastgpt-deep-review",{"power":935,"ux":882,"price":935,"cn_support":882,"stability":935},4,{"title":12,"description":884},"Coze 扣子评测 2026：字节 AI Agent 平台，对比 Dify","agent\u002Fplatform\u002Fcoze",[940,942,944,946,948],{"title":941,"url":47},"Coze 国内版（扣子）",{"title":943,"url":54},"Coze 国际版",{"title":945,"url":846},"Coze 官方文档",{"title":947,"url":67},"Coze vs Dify vs FastGPT 选型 2026",{"title":949,"url":583},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[952,953,954,955,956],"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",[959,960,961,962,963,964],"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。","necnnd5prSTfssbiPIQOZWkZ3WDKHK3nbAKz7ZhN7uc",{"id":969,"title":451,"alternatives":970,"api_compatible":973,"body":975,"category":881,"chinese_friendly":882,"cover":2015,"description":2016,"domestic":885,"extension":886,"faq":9,"free":885,"github":1977,"languages":2017,"lastVerified":9,"meta":2018,"models":2019,"navigation":897,"notSuitable":2023,"opensource":897,"path":2027,"pillar":903,"platforms":2028,"priceTable":2032,"pricing":2054,"published":928,"relatedPlaybooks":2055,"relatedReviews":2057,"score":2058,"self_host":897,"seo":2059,"seoTitle":9,"slug":15,"sources":2060,"stem":2071,"suitable":2072,"tagline":2078,"tags":2079,"updated":965,"verdict":2086,"website":1970,"__hash__":2087},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt.md",[14,938,971,972],"agent\u002Fplatform\u002Flangflow","agent\u002Fplatform\u002Fn8n",[974],"openai",{"type":19,"value":976,"toc":1997},[977,979,1008,1019,1021,1025,1028,1042,1045,1071,1075,1082,1114,1121,1125,1178,1185,1188,1191,1194,1201,1247,1253,1257,1288,1292,1423,1426,1429,1433,1441,1567,1582,1584,1743,1751,1785,1791,1793,1868,1870,1872,1892,1894,1912,1914,1961,1963,1988,1993],[22,978,25],{"id":24},[27,980,982,997],{"className":981},[30,31,32],[34,983,984,986,987,992,993,996],{},[37,985,39],{}," labring 团队开源的 LLM 知识库 RAG 平台，27k+ GitHub star（截至 2026-03 数据，",[45,988,991],{"href":989,"rel":990},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2632669",[49],"腾讯云 2026-03 教程"," 引用），Apache 2.0 许可证可商用。",[37,994,995],{},"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。",[34,998,999,1000,1003,1004,1007],{},"最大价值在 ",[37,1001,1002],{},"国内企业知识库 + 私有部署"," 场景。代价是 ",[37,1005,1006],{},"配置门槛","：docker 基础 + 网络知识 + 一定运维能力。",[72,1009,1010],{},[34,1011,1012,1013,1018],{},"来源说明：本文基于 fastgpt.io 官方页面、github.com\u002Flabring\u002FFastGPT 仓库、",[45,1014,1017],{"href":1015,"rel":1016},"https:\u002F\u002Fwww.nanhuantech.com\u002Fzh\u002Fai-reviews\u002Ffastgpt-2025-review",[49],"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。",[22,1020,79],{"id":79},[81,1022,1024],{"id":1023},"知识库管理核心能力","知识库管理（核心能力）",[34,1026,1027],{},"支持文件类型：",[89,1029,1030,1033,1036,1039],{},[92,1031,1032],{},"文档：PDF \u002F Word \u002F Markdown \u002F TXT \u002F HTML",[92,1034,1035],{},"表格：Excel \u002F CSV",[92,1037,1038],{},"网页：URL 抓取 + 定时同步",[92,1040,1041],{},"API：通过接口推送内容",[34,1043,1044],{},"处理流程：上传 → 文本切分 → 向量化 → 存储 → 可用于问答。支持：",[89,1046,1047,1053,1059,1065],{},[92,1048,1049,1052],{},[37,1050,1051],{},"文件夹分组","：不同主题 \u002F 部门分类",[92,1054,1055,1058],{},[37,1056,1057],{},"多种分块策略","：默认按段落 \u002F 按 token 数 \u002F 自定义",[92,1060,1061,1064],{},[37,1062,1063],{},"批量导入","：脚本化大批量同步",[92,1066,1067,1070],{},[37,1068,1069],{},"定时同步","：网页源自动更新",[81,1072,1074],{"id":1073},"rag-流程编排最强卖点","RAG 流程编排（最强卖点）",[34,1076,1077,1081],{},[45,1078,1080],{"href":1015,"rel":1079},[49],"南环 AI 2026 评测"," 总结的 FastGPT RAG 链路：",[388,1083,1084,1090,1096,1102,1108],{},[92,1085,1086,1089],{},[37,1087,1088],{},"问题预处理","：改写 \u002F 扩展 \u002F 错词纠正（提升召回率）",[92,1091,1092,1095],{},[37,1093,1094],{},"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",[92,1097,1098,1101],{},[37,1099,1100],{},"重排序（Rerank）","：对初步检索结果二次排序，提升相关性",[92,1103,1104,1107],{},[37,1105,1106],{},"上下文组装","：最优 chunk + 问题 → prompt",[92,1109,1110,1113],{},[37,1111,1112],{},"答案生成","：调大模型基于检索结果回答 + 引用标注",[34,1115,1116,1117,1120],{},"每一步都可视化调参，这是 FastGPT 比 Coze \u002F Dify 在 ",[37,1118,1119],{},"纯知识库 QA 精度","上更高的原因。",[81,1122,1124],{"id":1123},"多模型支持不绑定厂商","多模型支持（不绑定厂商）",[251,1126,1127,1137],{},[254,1128,1129],{},[257,1130,1131,1134],{},[260,1132,1133],{},"模型类别",[260,1135,1136],{},"支持",[270,1138,1139,1147,1154,1162,1170],{},[257,1140,1141,1144],{},[275,1142,1143],{},"国产闭源",[275,1145,1146],{},"豆包 \u002F 通义千问 \u002F 文心一言 \u002F 智谱 GLM \u002F Moonshot Kimi \u002F MiniMax",[257,1148,1149,1151],{},[275,1150,464],{},[275,1152,1153],{},"LLaMA \u002F Qwen \u002F ChatGLM \u002F DeepSeek 等可自部署",[257,1155,1156,1159],{},[275,1157,1158],{},"OpenAI 系",[275,1160,1161],{},"GPT-5 \u002F GPT-5 mini \u002F o3",[257,1163,1164,1167],{},[275,1165,1166],{},"Claude 系",[275,1168,1169],{},"Sonnet 4 \u002F Opus 4 \u002F Haiku",[257,1171,1172,1175],{},[275,1173,1174],{},"嵌入 \u002F 重排",[275,1176,1177],{},"BGE \u002F m3e \u002F OpenAI text-embedding-3",[34,1179,1180,1181,1184],{},"可以在 ",[37,1182,1183],{},"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。",[81,1186,1187],{"id":1187},"工作流与高级编排",[34,1189,1190],{},"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。",[81,1192,1193],{"id":1193},"多向量库选择",[34,1195,1196,1200],{},[45,1197,1199],{"href":989,"rel":1198},[49],"腾讯云教程"," 公开的 4 种向量后端：",[251,1202,1203,1213],{},[254,1204,1205],{},[257,1206,1207,1210],{},[260,1208,1209],{},"后端",[260,1211,1212],{},"适用",[270,1214,1215,1223,1231,1239],{},[257,1216,1217,1220],{},[275,1218,1219],{},"PgVector",[275,1221,1222],{},"5000 万索引以下，新手 \u002F 小规模",[257,1224,1225,1228],{},[275,1226,1227],{},"Milvus",[275,1229,1230],{},"亿级以上，高性能",[257,1232,1233,1236],{},[275,1234,1235],{},"Zilliz Cloud",[275,1237,1238],{},"Milvus 全托管 SaaS",[257,1240,1241,1244],{},[275,1242,1243],{},"SeekDB \u002F OceanBase",[275,1245,1246],{},"企业级国产化",[34,1248,1249,1250,347],{},"部署时选对应 ",[650,1251,1252],{},"docker-compose.{pgvector|milvus|...}.yml",[81,1254,1256],{"id":1255},"api-与-mcp","API 与 MCP",[89,1258,1259,1265,1271,1282],{},[92,1260,1261,1264],{},[37,1262,1263],{},"对话 API","：流式 \u002F 非流式 HTTP，OpenAI 兼容",[92,1266,1267,1270],{},[37,1268,1269],{},"知识库检索 API","：单独调检索（不走生成）做 hybrid pipeline",[92,1272,1273,1276,1277,1281],{},[37,1274,1275],{},"MCP Server","：3005 端口暴露 MCP SSE 服务，可被 ",[45,1278,1280],{"href":1279},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code"," 等客户端直接接入",[92,1283,1284,1287],{},[37,1285,1286],{},"Webhook","：回调通知",[22,1289,1291],{"id":1290},"部署-10-分钟docker","部署 10 分钟（Docker）",[1293,1294,1298],"pre",{"className":1295,"code":1296,"language":1297,"meta":863,"style":863},"language-bash shiki shiki-themes github-light github-dark","# 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","bash",[650,1299,1300,1309,1322,1331,1336,1341,1355,1360,1366,1374,1383,1388,1394,1412,1417],{"__ignoreMap":863},[1301,1302,1305],"span",{"class":1303,"line":1304},"line",1,[1301,1306,1308],{"class":1307},"sJ8bj","# 克隆代码\n",[1301,1310,1311,1315,1319],{"class":1303,"line":867},[1301,1312,1314],{"class":1313},"sScJk","git",[1301,1316,1318],{"class":1317},"sZZnC"," clone",[1301,1320,1321],{"class":1317}," https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\n",[1301,1323,1324,1328],{"class":1303,"line":864},[1301,1325,1327],{"class":1326},"sj4cs","cd",[1301,1329,1330],{"class":1317}," FastGPT\n",[1301,1332,1333],{"class":1303,"line":935},[1301,1334,1335],{"emptyLinePlaceholder":897},"\n",[1301,1337,1338],{"class":1303,"line":882},[1301,1339,1340],{"class":1307},"# 切到最新稳定版（参考 GitHub releases）\n",[1301,1342,1344,1346,1349,1352],{"class":1303,"line":1343},6,[1301,1345,1314],{"class":1313},[1301,1347,1348],{"class":1317}," switch",[1301,1350,1351],{"class":1326}," -c",[1301,1353,1354],{"class":1326}," 4.14.7.2\n",[1301,1356,1358],{"class":1303,"line":1357},7,[1301,1359,1335],{"emptyLinePlaceholder":897},[1301,1361,1363],{"class":1303,"line":1362},8,[1301,1364,1365],{"class":1307},"# 选向量库版本（个人 \u002F 小规模选 pg）\n",[1301,1367,1369,1371],{"class":1303,"line":1368},9,[1301,1370,1327],{"class":1326},[1301,1372,1373],{"class":1317}," deploy\u002Fdocker\u002Fcn\n",[1301,1375,1377,1380],{"class":1303,"line":1376},10,[1301,1378,1379],{"class":1313},"wget",[1301,1381,1382],{"class":1317}," https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n",[1301,1384,1386],{"class":1303,"line":1385},11,[1301,1387,1335],{"emptyLinePlaceholder":897},[1301,1389,1391],{"class":1303,"line":1390},12,[1301,1392,1393],{"class":1307},"# 启动\n",[1301,1395,1397,1400,1403,1406,1409],{"class":1303,"line":1396},13,[1301,1398,1399],{"class":1313},"docker-compose",[1301,1401,1402],{"class":1326}," -f",[1301,1404,1405],{"class":1317}," docker-compose.pg.yml",[1301,1407,1408],{"class":1317}," up",[1301,1410,1411],{"class":1326}," -d\n",[1301,1413,1415],{"class":1303,"line":1414},14,[1301,1416,1335],{"emptyLinePlaceholder":897},[1301,1418,1420],{"class":1303,"line":1419},15,[1301,1421,1422],{"class":1307},"# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[34,1424,1425],{},"最低配置：2C4G + 20GB 硬盘 + Docker 28+ + Docker Compose 2.20+。",[34,1427,1428],{},"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。",[22,1430,1432],{"id":1431},"云版-vs-自托管对比","云版 vs 自托管对比",[34,1434,1435,1440],{},[45,1436,1439],{"href":1437,"rel":1438},"https:\u002F\u002Ffastgpt.io\u002Fzh\u002Fprice",[49],"fastgpt.io 官方定价"," 公开数据：",[251,1442,1443,1471],{},[254,1444,1445],{},[257,1446,1447,1450,1453,1456,1459,1462,1465,1468],{},[260,1448,1449],{},"套餐",[260,1451,1452],{},"价格",[260,1454,1455],{},"AI 积分",[260,1457,1458],{},"知识库索引",[260,1460,1461],{},"团队",[260,1463,1464],{},"Agent",[260,1466,1467],{},"知识库",[260,1469,1470],{},"QPM",[270,1472,1473,1498,1523,1547],{},[257,1474,1475,1478,1480,1483,1486,1489,1492,1495],{},[275,1476,1477],{},"免费",[275,1479,909],{},[275,1481,1482],{},"100",[275,1484,1485],{},"600",[275,1487,1488],{},"1",[275,1490,1491],{},"10",[275,1493,1494],{},"3",[275,1496,1497],{},"30",[257,1499,1500,1503,1506,1509,1512,1515,1518,1520],{},[275,1501,1502],{},"基础",[275,1504,1505],{},"¥99\u002F月",[275,1507,1508],{},"4000",[275,1510,1511],{},"6000",[275,1513,1514],{},"5",[275,1516,1517],{},"50",[275,1519,1497],{},[275,1521,1522],{},"300",[257,1524,1525,1528,1531,1534,1537,1539,1542,1544],{},[275,1526,1527],{},"高级",[275,1529,1530],{},"¥599\u002F月",[275,1532,1533],{},"25000",[275,1535,1536],{},"36000",[275,1538,1517],{},[275,1540,1541],{},"200",[275,1543,1482],{},[275,1545,1546],{},"1500",[257,1548,1549,1552,1554,1557,1559,1561,1563,1565],{},[275,1550,1551],{},"定制",[275,1553,919],{},[275,1555,1556],{},"弹性",[275,1558,1556],{},[275,1560,1556],{},[275,1562,1556],{},[275,1564,1556],{},[275,1566,1556],{},[34,1568,1569,1572,1573,1576,1577,1581],{},[37,1570,1571],{},"云版适合","：不想运维、量小、要快速上线\n",[37,1574,1575],{},"自托管适合","：量大（10 万+ 日问答）、数据敏感、要深度定制——按 ",[45,1578,1580],{"href":1015,"rel":1579},[49],"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\"",[22,1583,429],{"id":429},[251,1585,1586,1609],{},[254,1587,1588],{},[257,1589,1590,1592,1594,1598,1603,1606],{},[260,1591,262],{},[260,1593,451],{},[260,1595,1596],{},[45,1597,445],{"href":444},[260,1599,1600],{},[45,1601,12],{"href":1602},"\u002Fagent\u002Fplatform\u002Fcoze.html",[260,1604,1605],{},"RAGFlow",[260,1607,1608],{},"AnythingLLM",[270,1610,1611,1631,1647,1662,1679,1695,1712,1727],{},[257,1612,1613,1616,1619,1622,1625,1628],{},[275,1614,1615],{},"核心定位",[275,1617,1618],{},"知识库 QA",[275,1620,1621],{},"综合 LLMOps",[275,1623,1624],{},"Bot + 工作流",[275,1626,1627],{},"文档解析+RAG",[275,1629,1630],{},"桌面级 KB",[257,1632,1633,1635,1638,1640,1642,1644],{},[275,1634,464],{},[275,1636,1637],{},"✅ Apache 2.0",[275,1639,1637],{},[275,1641,294],{},[275,1643,1637],{},[275,1645,1646],{},"✅ MIT",[257,1648,1649,1651,1654,1656,1658,1660],{},[275,1650,478],{},[275,1652,1653],{},"★★★★★ docker",[275,1655,515],{},[275,1657,481],{},[275,1659,512],{},[275,1661,515],{},[257,1663,1664,1667,1670,1672,1674,1677],{},[275,1665,1666],{},"RAG 深度",[275,1668,1669],{},"★★★★★ 最细",[275,1671,512],{},[275,1673,518],{},[275,1675,1676],{},"★★★★★ 文档解析最强",[275,1678,518],{},[257,1680,1681,1684,1686,1688,1690,1692],{},[275,1682,1683],{},"工作流",[275,1685,512],{},[275,1687,515],{},[275,1689,512],{},[275,1691,518],{},[275,1693,1694],{},"★★☆☆☆",[257,1696,1697,1700,1703,1705,1708,1710],{},[275,1698,1699],{},"上手",[275,1701,1702],{},"★★★☆☆ 需 docker",[275,1704,512],{},[275,1706,1707],{},"★★★★★ 最简单",[275,1709,518],{},[275,1711,512],{},[257,1713,1714,1717,1719,1721,1723,1725],{},[275,1715,1716],{},"中文优化",[275,1718,515],{},[275,1720,512],{},[275,1722,515],{},[275,1724,512],{},[275,1726,518],{},[257,1728,1729,1732,1735,1737,1739,1741],{},[275,1730,1731],{},"多平台发布",[275,1733,1734],{},"⚠️ API 为主",[275,1736,512],{},[275,1738,515],{},[275,1740,488],{},[275,1742,488],{},[34,1744,1745,580,1747,112],{},[37,1746,579],{},[45,1748,1750],{"href":1015,"rel":1749},[49],"南环 AI 评测",[89,1752,1753,1759,1766,1773,1779],{},[92,1754,1755,1758],{},[37,1756,1757],{},"核心需求是 RAG 精度"," → FastGPT",[92,1760,1761,604,1764],{},[37,1762,1763],{},"需要丰富插件 + 复杂工作流 + 多平台发布",[45,1765,445],{"href":444},[92,1767,1768,604,1771],{},[37,1769,1770],{},"零代码、快速发布到飞书 \u002F 微信",[45,1772,12],{"href":1602},[92,1774,1775,1778],{},[37,1776,1777],{},"文档解析（含 OCR \u002F 表格 \u002F 公式）是瓶颈"," → RAGFlow",[92,1780,1781,1784],{},[37,1782,1783],{},"桌面 \u002F 单机使用"," → AnythingLLM",[34,1786,1787,1790],{},[37,1788,1789],{},"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。",[22,1792,624],{"id":624},[89,1794,1795,1809,1818,1824,1834,1846,1852,1858],{},[92,1796,1797,1800,1801,1804,1805,1808],{},[37,1798,1799],{},"docker-compose 镜像 tag 不一致","：",[45,1802,1199],{"href":989,"rel":1803},[49]," 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 ",[650,1806,1807],{},"image:"," 行为正确版本即可",[92,1810,1811,1814,1815,1817],{},[37,1812,1813],{},"3000 端口冲突","：默认占用 3000（主服务）\u002F 9000（S3 \u002F MinIO）\u002F 3005（MCP）；改 ",[650,1816,1399],{}," 的 ports 映射端口",[92,1819,1820,1823],{},[37,1821,1822],{},"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",[92,1825,1826,1829,1830,1833],{},[37,1827,1828],{},"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 ",[45,1831,1580],{"href":1015,"rel":1832},[49],"：\"新手 \u002F 小规模 PgVector，中大规模 Milvus，企业 \u002F 国产 OceanBase\"",[92,1835,1836,1800,1839,1842,1843],{},[37,1837,1838],{},"MinIO 默认密码",[650,1840,1841],{},"minioadmin\u002Fminioadmin","，",[37,1844,1845],{},"部署到公网前必须改",[92,1847,1848,1851],{},[37,1849,1850],{},"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\"",[92,1853,1854,1857],{},[37,1855,1856],{},"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",[92,1859,1860,1863,1864,658],{},[37,1861,1862],{},"云版 AI 积分会过期","：未用完不能跨月累积（按 ",[45,1865,1867],{"href":1437,"rel":1866},[49],"fastgpt.io 定价 FAQ",[22,1869,702],{"id":701},[34,1871,705],{},[89,1873,1874,1877,1880,1883,1886,1889],{},[92,1875,1876],{},"企业内部知识库（员工手册 \u002F 制度 \u002F 流程）",[92,1878,1879],{},"产品 FAQ \u002F 用户手册问答",[92,1881,1882],{},"医疗 \u002F 法律 \u002F 金融垂直领域知识系统",[92,1884,1885],{},"数据严格不出网 + Apache 2.0 商用",[92,1887,1888],{},"有 docker 运维基础的技术团队",[92,1890,1891],{},"需要把 RAG 当后端服务的开发者（API 接入业务系统）",[34,1893,725],{},[89,1895,1896,1901,1906,1909],{},[92,1897,1898,1899,658],{},"完全非技术用户（去 ",[45,1900,12],{"href":1602},[92,1902,1903,1904,658],{},"主要需求是工作流 + 插件集成（去 ",[45,1905,445],{"href":444},[92,1907,1908],{},"文档解析 \u002F OCR 是首要痛点（RAGFlow）",[92,1910,1911],{},"不想自己运维 + 量很小（FastGPT 云免费版起步即可）",[22,1913,758],{"id":758},[89,1915,1916,1925,1941,1955],{},[92,1917,763,1918,683,1920,1922,1923],{},[45,1919,445],{"href":444},[45,1921,12],{"href":1602}," \u002F RAGFlow \u002F AnythingLLM \u002F ",[45,1924,775],{"href":774},[92,1926,778,1927,683,1929,683,1933,683,1936,683,1939],{},[45,1928,786],{"href":785},[45,1930,1932],{"href":1931},"\u002Fwiki\u002Fembedding.html","Embedding",[45,1934,1935],{"href":1931},"Vector Database",[45,1937,1938],{"href":785},"Reranker",[45,1940,782],{"href":781},[92,1942,796,1943,683,1945,683,1947,683,1949,683,1953],{},[45,1944,804],{"href":803},[45,1946,808],{"href":807},[45,1948,812],{"href":811},[45,1950,1952],{"href":1951},"\u002Fmodels\u002Fkimi-k2.html","Kimi K2",[45,1954,800],{"href":799},[92,1956,815,1957,683,1959],{},[45,1958,823],{"href":822},[45,1960,819],{"href":818},[22,1962,826],{"id":826},[89,1964,1965,1972,1979,1985],{},[92,1966,1967,1968],{},"官网：",[45,1969,1970],{"href":1970,"rel":1971},"https:\u002F\u002Ffastgpt.io",[49],[92,1973,1974,1975],{},"GitHub：",[45,1976,1977],{"href":1977,"rel":1978},"https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT",[49],[92,1980,1981,1982],{},"定价：",[45,1983,1437],{"href":1437,"rel":1984},[49],[92,1986,1987],{},"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",[34,1989,1990,1991,861],{},"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 ",[45,1992,860],{"href":859},[1994,1995,1996],"style",{},"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":1998},[1999,2000,2008,2009,2010,2011,2012,2013,2014],{"id":24,"depth":867,"text":25},{"id":79,"depth":867,"text":79,"children":2001},[2002,2003,2004,2005,2006,2007],{"id":1023,"depth":864,"text":1024},{"id":1073,"depth":864,"text":1074},{"id":1123,"depth":864,"text":1124},{"id":1187,"depth":864,"text":1187},{"id":1193,"depth":864,"text":1193},{"id":1255,"depth":864,"text":1256},{"id":1290,"depth":867,"text":1291},{"id":1431,"depth":867,"text":1432},{"id":429,"depth":867,"text":429},{"id":624,"depth":867,"text":624},{"id":701,"depth":867,"text":702},{"id":758,"depth":867,"text":758},{"id":826,"depth":867,"text":826},"\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],{},[893,894,892,2020,2021,2022],"gpt-4o","claude-sonnet-4","kimi",[2024,2025,2026],"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",[2029,2030,2031],"windows","macos","linux",[2033,2037,2042,2046,2050],{"plan":2034,"price":1477,"limit":2035,"cn_pay":911,"note":2036},"Self-host 开源","全功能 + 全数据本地","Apache 2.0 可商用",{"plan":2038,"price":2039,"limit":2040,"cn_pay":911,"note":2041},"云免费版","¥0\u002F月","100 AI 积分 + 600 索引 + 3 知识库","试水",{"plan":2043,"price":1505,"limit":2044,"cn_pay":916,"note":2045},"云基础版","4000 积分 + 6000 索引 + 50 Agent","中小团队 SaaS",{"plan":2047,"price":1530,"limit":2048,"cn_pay":469,"note":2049},"云高级版","25000 积分 + 36000 索引 + 50 成员 + 200 Agent + 1500 QPM","企业级生产",{"plan":2051,"price":919,"limit":2052,"cn_pay":469,"note":2053},"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",[2056],"onboarding\u002Ffastgpt-getting-started",[933,930,931,932],{"power":935,"ux":935,"price":882,"cn_support":882,"stability":935},{"title":451,"description":2016},[2061,2063,2065,2067,2069],{"title":2062,"url":1970},"FastGPT 官网",{"title":2064,"url":1977},"FastGPT GitHub",{"title":2066,"url":1437},"FastGPT 定价页",{"title":2068,"url":1015},"FastGPT 2025 测评（南环 AI）",{"title":2070,"url":989},"FastGPT 部署教程（腾讯云）","tools\u002Fagent\u002Fplatform\u002Ffastgpt",[2073,2074,2075,2076,2077],"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",[959,2080,2081,2082,2083,2084,2085],"opensource","self-host","rag","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。","8WByuuERL4Ll0dVQeD7A-LVHlxElsUGAZF_GhzdYohI",1784565440486]