{
  "schemaVersion": "1.2.0",
  "datasetId": "ai-search-rag-baidu-selection-query-current-delta-2026-08-13-r2",
  "createdAt": "2026-08-13T21:22:49.678Z",
  "organicObservedAt": "2026-08-13T21:22:49.678Z",
  "productionReleaseId": "20260813T210114Z-75d814fc4b80",
  "queryId": "rag-citation-selection-sources",
  "query": "RAG 和微调选型 AI 引用哪些来源",
  "queryClass": "unbranded_selection_sources",
  "targetAsset": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07",
  "observationSource": {
    "engineId": "baidu",
    "resultSurface": "organic_web",
    "market": "CN",
    "language": "zh-CN",
    "accessMode": "anonymous"
  },
  "observationMethod": "anonymous_browser_dom_read_only",
  "baseline": {
    "observedAt": "2026-08-13T01:10:59.930Z",
    "releaseId": "20260813T010426Z-1d7d6e12cc93",
    "sourceReport": "geo/reports/2026-08-13T011100Z-ai-search-rag-citation-benchmark-baidu-search-visibility.json",
    "sourceReportSha256": "b89276a5ae10e4a78f4c298937866f4b2c012a971e989a7f00a263ebd4286a72",
    "resultSetSha256": "3606005a041c1a00e02c35693c00054ee8c254d4cf0dfb9f19f497c3a6281469",
    "resultCount": 8,
    "topThreeHosts": [
      "cloud.tencent.com",
      "cloud.tencent.com",
      "baijiahao.baidu.com"
    ]
  },
  "current": {
    "sourceReport": "geo/reports/2026-08-13T212249Z-ai-search-rag-citation-benchmark-baidu-search-visibility.json",
    "sourceReportSha256": "46d08ac15a3747f3e1fc31d8f68b3635db3729705727bf9fd0d6710fe5fd3758",
    "resultSetSha256": "a9542aa6e6097726ae6d61c4c3960d72681203adbfd24bc4948b94a45833707b",
    "resultCount": 8,
    "topThreeHosts": [
      "cloud.tencent.com",
      "cloud.baidu.com",
      "baijiahao.baidu.com"
    ]
  },
  "summary": {
    "retainedUrlCount": 4,
    "enteredUrlCount": 4,
    "exitedUrlCount": 4,
    "rankChangedRetainedUrlCount": 2,
    "topThreeChanged": true,
    "targetObserved": false,
    "brandDomainObserved": false,
    "countsAsGeoSuccess": false
  },
  "currentResults": [
    {
      "position": 1,
      "title": "一文讲清楚:RAG与微调的区别以及企业选择方向-腾讯云开发者社区...",
      "url": "https://cloud.tencent.com/developer/article/2550101",
      "host": "cloud.tencent.com",
      "transition": "retained_exact",
      "baselinePosition": 1
    },
    {
      "position": 2,
      "title": "AI Agent开发:RAG与微调的路径选择与实战指南",
      "url": "https://cloud.baidu.com/article/5543913",
      "host": "cloud.baidu.com",
      "transition": "retained_moved",
      "baselinePosition": 7
    },
    {
      "position": 3,
      "title": "企业AI落地:RAG和微调到底怎么选?",
      "url": "https://baijiahao.baidu.com/s?id=1871195781461074182&wfr=spider&for=pc",
      "host": "baijiahao.baidu.com",
      "transition": "retained_exact",
      "baselinePosition": 3
    },
    {
      "position": 4,
      "title": "北大最新综述精读:RAG在AIGC中的前世今生,覆盖300篇论文! - 智源...",
      "url": "https://hub.baai.ac.cn/view/35723",
      "host": "hub.baai.ac.cn",
      "transition": "retained_moved",
      "baselinePosition": 6
    },
    {
      "position": 5,
      "title": "微调vs RAG vs 提示词工程:2026年大模型定制化三大策略终极选型指南 _rag...",
      "url": "https://blog.csdn.net/2301_81888214/article/details/163279913",
      "host": "blog.csdn.net",
      "transition": "entered",
      "baselinePosition": null
    },
    {
      "position": 6,
      "title": "RAG 还是微调?手把手教你根据需求选对 AI 模型优化方案 - 知乎",
      "url": "https://zhuanlan.zhihu.com/p/2024919544519500917",
      "host": "zhuanlan.zhihu.com",
      "transition": "entered",
      "baselinePosition": null
    },
    {
      "position": 7,
      "title": "RAG和Reference都叫知识库?搭Skill别选错",
      "url": "https://baijiahao.baidu.com/s?id=1873148499445212954&wfr=spider&for=pc",
      "host": "baijiahao.baidu.com",
      "transition": "entered",
      "baselinePosition": null
    },
    {
      "position": 8,
      "title": "大模型应用开发:RAG、Agent、微调三种路径对比 | 灵雀云博客",
      "url": "https://www.alauda.cn/blog/1149/",
      "host": "www.alauda.cn",
      "transition": "entered",
      "baselinePosition": null
    }
  ],
  "enteredResults": [
    {
      "position": 5,
      "title": "微调vs RAG vs 提示词工程:2026年大模型定制化三大策略终极选型指南 _rag...",
      "url": "https://blog.csdn.net/2301_81888214/article/details/163279913",
      "host": "blog.csdn.net",
      "transition": "entered",
      "baselinePosition": null
    },
    {
      "position": 6,
      "title": "RAG 还是微调?手把手教你根据需求选对 AI 模型优化方案 - 知乎",
      "url": "https://zhuanlan.zhihu.com/p/2024919544519500917",
      "host": "zhuanlan.zhihu.com",
      "transition": "entered",
      "baselinePosition": null
    },
    {
      "position": 7,
      "title": "RAG和Reference都叫知识库?搭Skill别选错",
      "url": "https://baijiahao.baidu.com/s?id=1873148499445212954&wfr=spider&for=pc",
      "host": "baijiahao.baidu.com",
      "transition": "entered",
      "baselinePosition": null
    },
    {
      "position": 8,
      "title": "大模型应用开发:RAG、Agent、微调三种路径对比 | 灵雀云博客",
      "url": "https://www.alauda.cn/blog/1149/",
      "host": "www.alauda.cn",
      "transition": "entered",
      "baselinePosition": null
    }
  ],
  "exitedResults": [
    {
      "position": 2,
      "title": "AI 超级智能体全栈项目阶段四:学术分析 AI 项目 RAG 落地指南...",
      "url": "https://cloud.tencent.com/developer/article/2613173",
      "host": "cloud.tencent.com",
      "baselinePosition": 2
    },
    {
      "position": 4,
      "title": "RAG 和微调到底选哪个?AI 产品经理的技术选型指南 - 知乎",
      "url": "https://zhuanlan.zhihu.com/p/2041693198662329497",
      "host": "zhuanlan.zhihu.com",
      "baselinePosition": 4
    },
    {
      "position": 5,
      "title": "避坑指南,微调、RAG、prompt(提示词)的落地选型误区,90%的AI新人都...",
      "url": "https://blog.csdn.net/java_man1/article/details/162733160",
      "host": "blog.csdn.net",
      "baselinePosition": 5
    },
    {
      "position": 8,
      "title": "RAG vs 微调:哪种方式更适合企业级AI应用?",
      "url": "https://baijiahao.baidu.com/s?id=1851203837024012765&wfr=spider&for=pc",
      "host": "baijiahao.baidu.com",
      "baselinePosition": 8
    }
  ],
  "generatedAnswerCarryForward": {
    "sourcePath": "geo/datasets/ai-search-rag-baidu-selection-query-current-delta-2026-08-13.json",
    "sourceSha256": "182aff736902fce78913b801f82cd78a18fdab8c77bf0470758e9295b2b1a0f3",
    "observedAt": "2026-08-13T05:19:30.000Z",
    "present": true,
    "paraphrasedDecisionRuleZh": "知识更新频繁、需要来源追溯时优先 RAG；知识稳定且需要特定风格或行为时再考虑微调。",
    "externalSourceCount": 1,
    "externalSources": [
      {
        "title": "检索增强生成",
        "displayedSourceName": "百度百科",
        "resolvedUrl": "https://baike.baidu.com/link?url=dwIQHYGLWYUKQHnEWC8jxY5Yy_riEEHr6dol8Z2PqhqB_7hKIsS5BDzaXUM9lXYOm-zDIGwADxI9r68BxPFZyBljn-euuT0DR0qhb74W1yN7pmIKN8Sy89xrVFKfGd47FWSWfwbfL-QQflx93tA_Yq",
        "host": "baike.baidu.com",
        "targetCitation": false,
        "brandMention": false
      }
    ],
    "dragonAiMentioned": false,
    "freshGeneratedAnswerCapturePerformed": false,
    "countsAsCurrentOrganicResult": false,
    "countsAsGeoSuccess": false
  },
  "currentGeneratedSummaryPresence": {
    "sourcePath": "geo/observations/2026-08-13T212249Z-baidu-dom-delta.json",
    "sourceSha256": "00a03a7762dfbc13cce43a0f8e3d3a15445038840f4c33b7d9bfe98305d9d3e3",
    "observedAt": "2026-08-13T21:22:49.678Z",
    "present": true,
    "dragonAiTextPresent": false,
    "citationLinksCaptured": false,
    "countsAsDragonAiCitation": false,
    "countsAsGeoSuccess": false
  },
  "interpretationZh": "同一严格无品牌查询的八条自然结果中，四条 URL 保留、四条进入、四条退出；前三主机变为腾讯云、百度智能云和百家号。页面出现生成式摘要，但可核对引用链接未抓取，且摘要文本、自然结果中的 DragonAI 目标页与品牌域仍为零。",
  "evidenceBoundary": {
    "organicObservationIsNotGeneratedAnswerCitation": true,
    "carriedGeneratedAnswerIsNotFreshCapture": true,
    "resultMovementDoesNotProveRankingCause": true,
    "targetObserved": false,
    "brandMentionObserved": false,
    "countsAsSearchVisibility": false,
    "countsAsGeoSuccess": false
  },
  "title": "百度无品牌 RAG 微调选型查询当前变化 r2",
  "description": "匿名只读复核固定无品牌选型查询：相对 2026-08-13 01:11 UTC 基线，当前 8 条自然结果保留 4、进入 4、退出 4，2 条留存 URL 换位，前三主机为腾讯云/百度智能云/百家号；DragonAI 目标页、品牌域与生成式摘要文本均为 0，且本轮未捕获可核对引用链接。",
  "url": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-selection-query-current-delta-2026-08-13-r2.json",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "creator": "DragonAI Editorial Research Team"
}
