YouTube RAG 搜索前端（使用 Apify、Qdrant 和 AI）

• •Redis 服务器连接信息
• •HTTP Webhook 端点（n8n 会自动生成）
• •可能需要目标 API 的认证凭证
• •OpenAI API Key
• •Qdrant 服务器连接信息

{
  "meta": {
    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "c8221e91-9a9c-489e-a770-7c3cf2cb3328",
      "name": "点击“测试工作流”时",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
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      "parameters": {},
      "typeVersion": 1
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      "name": "表单提交1",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        540,
        -360
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/acts/streamers~youtube-channel-scraper/run-sync-get-dataset-items",
        "options": {},
        "jsonBody": "={{\n{\n  \"downloadSubtitles\": true,\n  \"hasCC\": false,\n  \"hasLocation\": false,\n  \"hasSubtitles\": false,\n  \"is360\": false,\n  \"is3D\": false,\n  \"is4K\": false,\n  \"isBought\": false,\n  \"isHD\": false,\n  \"isHDR\": false,\n  \"isLive\": false,\n  \"isVR180\": false,\n  \"maxResultStreams\": 0,\n  \"maxResults\": 1,\n  \"maxResultsShorts\": 0,\n  \"preferAutoGeneratedSubtitles\": false,\n  \"saveSubsToKVS\": false,\n  \"startUrls\": [\n    {\n      \"url\": $json.url,\n      \"method\": \"GET\"\n    }\n  ],\n  \"subtitlesFormat\": \"vtt\",\n  \"subtitlesLanguage\": \"en\"\n}\n}}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "SV9BDKc1cRbZBeoL",
          "name": "Apify.com (personal token)"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "6dcd5497-89cf-4591-ae79-bd12bbde6256",
      "name": "获取视频字幕",
      "type": "n8n-nodes-base.set",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
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              "type": "array",
              "value": "={{\nArray(\n  Math.ceil($json.subtitles[0].vtt.length/30_000)\n).fill(0)\n  .map((_,idx) => $json.subtitles[0].vtt.substr(idx*30_000,(idx * 30_000) + 30_000))\n}}"
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        }
      },
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    },
    {
      "id": "689fc39e-21d9-4222-9cda-858f21cacc97",
      "name": "Qdrant 向量存储",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
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        -520
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "list",
          "value": "n8n_videos",
          "cachedResultName": "n8n_videos"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "AhUP2CNvcQDRd5au",
          "name": "clients-dev"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "ee57ffe2-e3f8-409a-a87a-b69902494598",
      "name": "默认数据加载器",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
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      ],
      "parameters": {
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "videoId",
                "value": "={{ $('Video Ref').item.json.id }}"
              },
              {
                "name": "title",
                "value": "={{ $('Video Ref').item.json.title }}"
              },
              {
                "name": "channelId",
                "value": "={{ $('Video Ref').item.json.channelId }}"
              },
              {
                "name": "url",
                "value": "={{ $('Video Ref').item.json.url }}"
              },
              {
                "name": "type",
                "value": "={{ $('Video Ref').item.json.type }}"
              }
            ]
          }
        },
        "jsonData": "={{ $json.vtt.replaceAll('\\n\\n', '\\n') }}",
        "jsonMode": "expressionData"
      },
      "typeVersion": 1
    },
    {
      "id": "4ce56ce3-73fc-4ba3-abbf-0401d44ce748",
      "name": "嵌入",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
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        -360
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "a910822d-073f-42a6-8f6d-5c04dc59fba2",
      "name": "文本分割器",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
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        -240
      ],
      "parameters": {
        "options": {},
        "chunkSize": 3000
      },
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    },
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      "id": "0361055c-8fc2-488a-9c43-8e0492648756",
      "name": "分块字幕",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
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      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "77243da4-38cb-430b-b8f3-2698ec6dd022",
      "name": "对于每个视频",
      "type": "n8n-nodes-base.noOp",
      "position": [
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      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "fe63938a-8c17-4191-8fdc-cd044f5de080",
      "name": "视频参考",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
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        -400
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "4bbbc54a-30b6-4395-bb06-0145dde9abd9",
      "name": "等待",
      "type": "n8n-nodes-base.wait",
      "position": [
        1920,
        -400
      ],
      "webhookId": "45ae600a-d26f-444b-bbe0-792c5602fe8d",
      "parameters": {
        "amount": 1
      },
      "executeOnce": true,
      "typeVersion": 1.1
    },
    {
      "id": "6f581ad9-abc5-4ef7-b2ce-1267ba67999d",
      "name": "对于每个块",
      "type": "n8n-nodes-base.set",
      "position": [
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              "name": "title",
              "type": "string",
              "value": "={{ $json.title }}"
            },
            {
              "id": "3fb553d6-79a1-41f2-8b72-581d667adcea",
              "name": "url",
              "type": "string",
              "value": "=https://www.youtube.com/watch?v={{ $json.videoId }}"
            },
            {
              "id": "9f435790-5b84-4a23-ac39-561c87d0eea1",
              "name": "extract",
              "type": "string",
              "value": "={{ $json.extract.replaceAll('\\n', ' ') }}"
            },
            {
              "id": "f3d63c6e-d5c9-40b6-a9a7-ebfe7c6c9a41",
              "name": "timestamp",
              "type": "string",
              "value": "={{\n(function(str){\n  return str.length === 3\n  ? str[1] + ':' + str[2]\n  : str.join(':');\n})($json.timestamp.split(':'))\n}}"
            },
            {
              "id": "f937c492-ddbe-40fe-8e12-a21c21832e4a",
              "name": "videoId",
              "type": "string",
              "value": "={{ $json.videoId }}"
            },
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              "id": "2245a7b6-cf9e-4c39-875b-5bf80b1353bc",
              "name": "video_ts",
              "type": "string",
              "value": "={{\n(function(timestamp){\n  const buffer = 5;\n  let [hr,min,sec] = timestamp.map(x => Number(x));\n  if (sec === undefined){ sec = min; min = hr; hr = 0 }\n  return Math.max((hr * 60 * 60) + (min * 60) + sec - buffer, 0);\n})($json.timestamp.split(':'))\n}}"
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      "typeVersion": 3.4
    },
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      "id": "27c19284-1ce6-4756-b385-6433096d4b84",
      "name": "清理输出",
      "type": "n8n-nodes-base.sort",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "sortFieldsUi": {
          "sortField": [
            {
              "fieldName": "videoId"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "dc70ab23-8fb0-4f7f-9833-5d6b01407b69",
      "name": "响应 Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
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      ],
      "parameters": {
        "options": {
          "responseCode": 200,
          "responseHeaders": {
            "entries": [
              {
                "name": "Content-Type",
                "value": "text/html"
              }
            ]
          }
        },
        "respondWith": "text",
        "responseBody": "=<div id=\"answer\">\n  <div id=\"answer-legend\">AI Summary</div>\n  {{ $json.text }}\n</div>\n{{ $json.results }}"
      },
      "executeOnce": false,
      "typeVersion": 1.1
    },
    {
      "id": "1c4eac3a-1412-4e24-85fd-359aa065e3db",
      "name": "提取结果",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        1080,
        300
      ],
      "parameters": {
        "text": "=<transcripts>\n{{ $json.hits\n  .map(item => `<transcript>${item.toJsonString()}</transcript>`).join('\\n')\n}}\n</transcripts>\n<user_query>\n{{ $('Get Query').first().json.query }}\n</user_query>",
        "options": {
          "systemPromptTemplate": "=Your task is to analyse the collection of video transcripts and extract the parts relevant to the user's query.\n* When returning your response, provide from 3 and up to 10 results as extracts of the transcript combined with their timestamps (MM:SS) and include the video title and url.\n* When getting the extract for the results, as this will be read by the user, return only the text of the transcript and remove any vtt tags, annotations, markers.\n* Refer to the metadata for video title and video url."
        },
        "schemaType": "manual",
        "inputSchema": "{\n  \"type\": \"array\",\n  \"items\": {\n    \"type\":\"object\",\n    \"required\": [\n      \"title\",\"url\",\"extract\",\"timestamp\",\"videoId\"\n    ],\n    \"properties\": {\n      \"title\": { \"type\": \"string\" },\n       \"extract\": {\n         \"type\": \"string\",\n         \"description\": \"extract and transcribe the relevant parts of the transcript removing vtt annotations and markers.\"\n       },\n       \"timestamp\": { \"type\": \"string\" },\n       \"videoId\": { \"type\": \"string\" }\n    }\n  }\n}"
      },
      "executeOnce": false,
      "typeVersion": 1
    },
    {
      "id": "cc2d88f7-065d-489a-bfc4-cbc13268b59a",
      "name": "按视频ID排序",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -1100,
        360
      ],
      "webhookId": "e2768373-66ad-4ad2-948f-c5e278d39595",
      "parameters": {
        "path": "n8n_videos/api/search",
        "options": {
          "ignoreBots": false
        },
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "ae2fb16b-2a31-4616-a2b9-6cd634b64647",
      "name": "搜索API",
      "type": "n8n-nodes-base.set",
      "position": [
        -360,
        240
      ],
      "parameters": {
        "mode": "raw",
        "options": {},
        "jsonOutput": "={{\n{\n  query: ((($('SEARCH API').first().json.query?.q\n      .removeTags())\n      .removeTags())\n      .replaceSpecialChars()).substr(0,128),\n  type: ['video', 'stream'].includes($('SEARCH API').first().json.query.type)\n    ? $('SEARCH API').first().json.query.type\n    : undefined\n}\n}}"
      },
      "typeVersion": 3.4
    },
    {
      "id": "6d14cd25-f65a-4162-bcfc-cc2e7e547c23",
      "name": "获取查询",
      "type": "n8n-nodes-base.set",
      "position": [
        2460,
        160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "3e4daf29-906b-4469-b107-6cbc142dab44",
              "name": "results",
              "type": "string",
              "value": "={{\n(function(items) {\n  const groupByVideoId = items.reduce((acc, item) => {\n    if (!acc[item.videoId]) acc[item.videoId] = [];\n    acc[item.videoId].push(item);\n    return acc;\n  }, {});\n  \n  const results = Object.keys(groupByVideoId).map(key => {\n    const parts = groupByVideoId[key]\n      .toSorted((a,b) => Number(a.video_ts) - Number(b.video_ts));\n    const {title,url} = parts[0];\n    return `<li video-id=\"${key}\">\n      <div class=\"resultSource\">\n        <a\n          href=\"${url}\"\n          target=\"_blank\"\n          hx-on:click=\"loadVideo('${key}',0); event.preventDefault()\"\n        >\n          <div class=\"resultSourceTitle\">${title}</div>\n          <div class=\"resultSourceUrl\">${url}</div>\n        </a>\n      </div>\n      ${parts.map(item => `\n        <div class=\"resultContent\">\n          <a\n            class=\"resultTimestamp\"\n            href=\"${item.url}&t=${item.video_ts}\n            \"target=\"_blank\"\n            hx-on:click=\"loadVideo('${item.videoId}',${item.video_ts}); event.preventDefault()\"\n          >\n            [${item.timestamp}]\n            <span>...${item.extract}...</span>\n          </a>\n        </div>`).join('\\n')}\n    </li>`\n  }).join('\\n')\n\n  return `<div id=\"resultsCount\">${Object.keys(groupByVideoId).length} Video Result${Object.keys(groupByVideoId).length === 1 ? '' : 's'}</div>${results}`;\n})(\n  $input.all().map(item => item.json).filter(item => item.videoId)\n)\n}}"
            }
          ]
        }
      },
      "executeOnce": true,
      "typeVersion": 3.4
    },
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      "id": "ccf2744d-3678-40b8-b7a1-2fda1d820dd0",
      "name": "生成模板",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
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        180
      ],
      "parameters": {
        "text": "=<results>{{ $json.results }}</results>\n<user_query>\n{{ $('Get Query').first().json.query }}\n</user_query>",
        "messages": {
          "messageValues": [
            {
              "message": "=Using the available results, generate a 1 or 2 sentence answer for the user's query. You may format your answer using markdown."
            }
          ]
        },
        "promptType": "define"
      },
      "executeOnce": true,
      "typeVersion": 1.5
    },
    {
      "id": "5c9a1091-1c68-4b83-a002-638236044599",
      "name": "回答查询",
      "type": "n8n-nodes-base.if",
      "position": [
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        260
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "81f8ec3e-be33-469c-8bf5-c3d3575e3764",
              "operator": {
                "type": "object",
                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "97e6fdf0-db16-4957-bc4f-ce96a8ccc944",
      "name": "有结果吗？",
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      "position": [
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        360
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "7c4bd999-49b1-4532-89ca-c53e98da6b17",
              "name": "text",
              "type": "string",
              "value": "={{ '' }}"
            },
            {
              "id": "916221de-2ec9-4fd9-8029-d7a3de88f395",
              "name": "results",
              "type": "string",
              "value": "=<div id=\"resultsCount\">0 Video Results</div>"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "160933f5-ae39-407d-9124-f24d193f1153",
      "name": "生成空响应",
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      "position": [
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      ],
      "parameters": {
        "options": {},
        "assignments": {
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            {
              "id": "36bb30ce-6baf-492a-ad8c-4bec175e85a0",
              "name": "text",
              "type": "string",
              "value": "={{ $json.data }}"
            },
            {
              "id": "60fb3d9d-0342-41c2-80bb-1899773f4bd7",
              "name": "results",
              "type": "string",
              "value": "={{ $('Generate Template').first().json.results }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "ac4881ee-e200-48b9-8339-0a21647cc1c4",
      "name": "映射字段",
      "type": "n8n-nodes-base.redis",
      "position": [
        -900,
        360
      ],
      "parameters": {
        "key": "=n8n_videos_session_{{ $json.headers['x-forwarded-for'] }}",
        "expire": true,
        "operation": "incr"
      },
      "credentials": {
        "redis": {
          "id": "zU4DA70qSDrZM1El",
          "name": "Redis account (localhost)"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "5aa5880a-d9c4-4263-877c-b7c8b3f36916",
      "name": "增加速率限制",
      "type": "n8n-nodes-base.if",
      "position": [
        -720,
        360
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "032093e1-b223-45f4-b1bc-5603134acfe8",
              "operator": {
                "type": "number",
                "operation": "lt"
              },
              "leftValue": "={{ Object.values($json)[0] }}",
              "rightValue": 11
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "7eb4a8e8-ba35-4a55-98cc-f85395a90604",
      "name": "10次请求/分钟",
      "type": "n8n-nodes-base.executeWorkflow",
      "position": [
        -180,
        -360
      ],
      "parameters": {
        "mode": "each",
        "options": {
          "waitForSubWorkflow": true
        },
        "workflowId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $workflow.id }}"
        },
        "workflowInputs": {
          "value": {},
          "schema": [],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": true
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "dd76b922-8522-4d5b-a49b-e3e4cdca333f",
      "name": "向量化子工作流",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        140,
        -360
      ],
      "parameters": {
        "inputSource": "passthrough"
      },
      "typeVersion": 1.1
    },
    {
      "id": "7b7c5773-9eac-4356-8d66-793dd9bcc008",
      "name": "向量化子工作流1",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -1120,
        920
      ],
      "webhookId": "8b531d97-c5d7-4a98-8ef0-f19e59cf886f",
      "parameters": {
        "path": "n8n_videos/",
        "options": {
          "ignoreBots": true
        },
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "32a0fb68-1b6f-4d65-8591-f370d0307eb4",
      "name": "网页界面",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        0,
        240
      ],
      "parameters": {
        "url": "=http://qdrant:6333/collections/n8n_videos/points/search/groups",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "authentication": "predefinedCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "limit",
              "value": "={{ 4 }}"
            },
            {
              "name": "filter",
              "value": "={{\n$('Get Query').first().json.type\n  ? {\n    \"must\": [\n      {\n        \"key\": \"metadata.type\",\n        \"match\": {\n          \"any\": [].concat($('Get Query').first().json.type)\n        }\n      }\n    ]\n  }\n  : undefined\n}}"
            },
            {
              "name": "with_payload",
              "value": "={{ true }}"
            },
            {
              "name": "group_by",
              "value": "metadata.videoId"
            },
            {
              "name": "group_size",
              "value": "={{ 3 }}"
            },
            {
              "name": "vector",
              "value": "={{ $json.data[0].embedding }}"
            }
          ]
        },
        "nodeCredentialType": "qdrantApi"
      },
      "credentials": {
        "qdrantApi": {
          "id": "AhUP2CNvcQDRd5au",
          "name": "clients-dev"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "0ddf6e63-d0db-499d-873c-ea7d82bf1ef6",
      "name": "Qdrant组搜索",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -180,
        240
      ],
      "parameters": {
        "url": "https://api.openai.com/v1/embeddings",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "authentication": "predefinedCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "input",
              "value": "={{ $json.query }}"
            },
            {
              "name": "model",
              "value": "text-embedding-3-small"
            }
          ]
        },
        "nodeCredentialType": "openAiApi"
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "a2fc2329-79be-49ac-923a-63affdefe464",
      "name": "获取嵌入",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        740,
        220
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "ed300a5f-7eca-4f15-bcc3-7855afed0a9e",
      "name": "对于每个组",
      "type": "n8n-nodes-base.noOp",
      "position": [
        900,
        300
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "4e3b33f6-6274-43f1-8206-adeac3220113",
      "name": "组参考",
      "type": "n8n-nodes-base.set",
      "position": [
        1540,
        260
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "f797071b-f722-4273-a672-932370123fc0",
              "name": "output",
              "type": "array",
              "value": "={{ $input.all().flatMap(item => item.json.output) }}"
            }
          ]
        }
      },
      "executeOnce": true,
      "typeVersion": 3.4
    },
    {
      "id": "da36d896-3187-40f6-82a5-953ae0fde867",
      "name": "合并结果",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        1920,
        160
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "output"
      },
      "typeVersion": 1
    },
    {
      "id": "e297fd2c-a551-4efe-8240-26522de4cec3",
      "name": "响应 Webhook2",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        -180,
        460
      ],
      "parameters": {
        "options": {
          "responseCode": 200
        },
        "respondWith": "text",
        "responseBody": "=<div id=\"answer\">{{ $json.text }}</div>\n{{ $json.results }}"
      },
      "executeOnce": false,
      "typeVersion": 1.1
    },
    {
      "id": "1cc6136e-b60d-4dc3-aeb7-30efb09b24f1",
      "name": "转录本转项目",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        2100,
        360
      ],
      "parameters": {
        "options": {
          "responseCode": 200
        },
        "respondWith": "text",
        "responseBody": "=<div id=\"answer\">{{ $json.text }}</div>\n{{ $json.results }}"
      },
      "executeOnce": false,
      "typeVersion": 1.1
    },
    {
      "id": "143115aa-5754-4e43-9bda-332b38cce4ae",
      "name": "计划触发器",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -1100,
        -280
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "weeks",
              "triggerAtDay": [
                6
              ],
              "triggerAtHour": 6
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "154adf7a-8390-425c-b96c-641c02c92072",
      "name": "响应Webhook3",
      "type": "n8n-nodes-base.removeDuplicates",
      "position": [
        -620,
        -360
      ],
      "parameters": {
        "options": {},
        "operation": "removeItemsSeenInPreviousExecutions",
        "dedupeValue": "={{ $json.id }}"
      },
      "typeVersion": 2
    },
    {
      "id": "c488a718-8c27-4d52-a891-bb875c7b8615",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1180,
        -640
      ],
      "parameters": {
        "color": 7,
        "width": 1200,
        "height": 560,
        "content": "忽略已查看内容"
      },
      "typeVersion": 1
    },
    {
      "id": "09fc0bc7-1efc-495f-b57b-3d62edbe09a6",
      "name": "## 1. 使用[Apify.com](https://www.apify.com?fpr=414q6)获取最新视频",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -820,
        -360
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/acts/streamers~youtube-channel-scraper/run-sync-get-dataset-items",
        "options": {},
        "jsonBody": "={{\n{\n  \"maxResultStreams\": 10,\n  \"maxResults\": 10,\n  \"maxResultsShorts\": 0,\n  \"oldestPostDate\": \"2025-01-01\",\n  \"startUrls\": [\n    {\n      \"url\": \"https://www.youtube.com/@n8n-io\",\n      \"method\": \"GET\"\n    }\n  ]\n}\n}}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "SV9BDKc1cRbZBeoL",
          "name": "Apify.com (personal token)"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "06384b2c-c30f-457e-94d8-976b187ff633",
      "name": "便签 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        60,
        -640
      ],
      "parameters": {
        "color": 7,
        "width": 860,
        "height": 560,
        "content": "获取最新YouTube视频"
      },
      "typeVersion": 1
    },
    {
      "id": "7a22fa36-955a-4586-8022-bcaa07950621",
      "name": "便签 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        940,
        -740
      ],
      "parameters": {
        "color": 7,
        "width": 1200,
        "height": 660,
        "content": "## 2. 使用[Apify.com](https://www.apify.com?fpr=414q6)获取视频转录本"
      },
      "typeVersion": 1
    },
    {
      "id": "063c6f34-0972-4c2e-a3db-d3e3158015b7",
      "name": "Chunks to Items",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        1020,
        -400
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "vtt"
      },
      "typeVersion": 1
    },
    {
      "id": "a088b16e-d518-4746-9f03-6ab0a2a46fc0",
      "name": "便签 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1180,
        80
      ],
      "parameters": {
        "color": 7,
        "width": 680,
        "height": 520,
        "content": "## 4. Search API with Rate Limiting\n[Learn more about Redis](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.redis)\n\nWebhooks are a great feature to build simple APIs with n8n. This particular webhook will serve as your search API which takes user queries as input, searches our vector store of n8n videos and returns a list of matching results as output. A Redis counter can be used as a simple rate limiter to manage resources through feel free to remove if you're publishing the webUI to the public. "
      },
      "typeVersion": 1
    },
    {
      "id": "3a9d011d-fa8f-4dc0-8e7b-d7e9990f9485",
      "name": "429 Response",
      "type": "n8n-nodes-base.set",
      "position": [
        -360,
        460
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "7c4bd999-49b1-4532-89ca-c53e98da6b17",
              "name": "text",
              "type": "string",
              "value": "={{ '' }}"
            },
            {
              "id": "916221de-2ec9-4fd9-8029-d7a3de88f395",
              "name": "results",
              "type": "string",
              "value": "=<div id=\"resultsCount\">Search Limit Reached!</div>\n<div>\nSearch requests are limited to 3 per minute.\n<br/>Need more? Download the free template and run it yourself!\n</div>"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "c4263da3-bc5f-470b-8ace-b03a88b650af",
      "name": "便签 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -480,
        -20
      ],
      "parameters": {
        "color": 7,
        "width": 1080,
        "height": 680,
        "content": "## 5. Qdrant Advanced Search - Point Groups\n[Learn more about Qdrant's Search Groups API](https://qdrant.tech/documentation/concepts/search/#search-groups)\n\nOur goal is to return videos and timestamps within them which are relevant to our user's query. We could using simple similarity search but the problem is your results might be too in-depth on the first and second videos. If we want to increase the breadth ie. cover more videos, then we can use something like Qdrant's Search Group API. This search API uses metadata to group results allowing you to specify a max results limit per video. Unfortunately, as this API is not supported by n8n, we'll have to use the HTTP request node - **Be sure to configure the node's credentials before use!**"
      },
      "typeVersion": 1
    },
    {
      "id": "5c655b2c-1986-499b-b89d-563e2f755986",
      "name": "便签 5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        640,
        -20
      ],
      "parameters": {
        "color": 7,
        "width": 800,
        "height": 640,
        "content": "## 6. Contextually Understanding Transcripts with AI\n[Read more about the Information Extractor](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.information-extractor)\n\nOne of the great use-cases for AI/LLM data extraction is that it can save a lot of parsing effort traditional done via code. Here, we provide the raw transcript blocks and the AI will help us pick out only the relevant parts with timestamps which answer our user's query."
      },
      "typeVersion": 1
    },
    {
      "id": "f825ab4a-b88d-46af-b2f2-271c6b22665c",
      "name": "便签6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1460,
        -20
      ],
      "parameters": {
        "color": 7,
        "width": 1180,
        "height": 620,
        "content": "## 7. Generate Results HTML Template\n[Learn more about the Edit Fields node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set)\n\nOnce we have our extracted transcript parts, we just need to re-group the results and build the results list HTML to be rendered back to the user.\nI'm using the excellent **htmx** (htmx.org) framework for the Web UI which is perfect for single page applications. The results HTML template generated is heavily influenced by this so it may look strange if you're unfamiliar. Feel free to use whatever is comfortable!"
      },
      "typeVersion": 1
    },
    {
      "id": "1ed3a232-6c03-4cef-806b-7030615b1e98",
      "name": "便签7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2660,
        -20
      ],
      "parameters": {
        "color": 7,
        "width": 600,
        "height": 560,
        "content": "## 8. Summarise Results to Generate Answer\n[Read more about the Basic LLM node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm)\n\nThis is a nice extra bit of UX to try and answer the user's query based on the search results. A basic LLM node is perfect for this simple prompt."
      },
      "typeVersion": 1
    },
    {
      "id": "4d5b1466-8bb8-42e7-9cee-275aa4c905df",
      "name": "便签8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3280,
        -20
      ],
      "parameters": {
        "color": 7,
        "width": 600,
        "height": 560,
        "content": "## 9. Return Answer & Search Results\n[Learn more about the webhook node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.respondtowebhook/)\n\nFinally, we combine the AI answer and results list as a HTML response for the Web UI.\nPhew, that was a lot to get through! Beyond this template, you can play with different search parameters or approaches to reduce latency, include other content types etc."
      },
      "typeVersion": 1
    },
    {
      "id": "07edb5ea-a4ad-4b06-91f2-9bdc2d5150a4",
      "name": "便签9",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1180,
        700
      ],
      "parameters": {
        "color": 7,
        "width": 840,
        "height": 480,
        "content": "## 10. N8N Video Search Frontend using Web UI\n[Learn more about the HTML node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.html/)\n\nBuilding and deploying simple webpages using n8n is quite easy and great if you don't want to worry too much about the technical details. Once the n8n template is set to active, you can visit [https://<n8n_url>/webhook/n8n_video](/webhook/n8n_video) to use it."
      },
      "typeVersion": 1
    },
    {
      "id": "8a9593fc-5a7a-4da9-b7d4-a128c0d36e8e",
      "name": "Render Page",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        -760,
        920
      ],
      "parameters": {
        "options": {
          "responseCode": 200,
          "responseHeaders": {
            "entries": [
              {
                "name": "Content-Type",
                "value": "text/html"
              }
            ]
          }
        },
        "respondWith": "text",
        "responseBody": "={{ $json.html }}"
      },
      "typeVersion": 1.1
    },
    {
      "id": "8fbdd941-fba7-4f89-b216-489a6e80cef9",
      "name": "Generate Webpage",
      "type": "n8n-nodes-base.html",
      "position": [
        -940,
        920
      ],
      "parameters": {
        "html": "<!DOCTYPE html>\n\n<html>\n<head>\n  <meta charset=\"UTF-8\" />\n  <title>N8N Videos Search</title>\n  <link rel=\"stylesheet\" href=\"https://cdn.jsdelivr.net/npm/purecss@3.0.0/build/pure-min.css\" integrity=\"sha384-X38yfunGUhNzHpBaEBsWLO+A0HDYOQi8ufWDkZ0k9e0eXz/tH3II7uKZ9msv++Ls\" crossorigin=\"anonymous\">\n  <link rel=\"stylesheet\" href=\"https://cdn.jsdelivr.net/npm/purecss@3.0.0/build/grids-responsive-min.css\" />\n  <script src=\"https://unpkg.com/htmx.org@2.0.4\" integrity=\"sha384-HGfztofotfshcF7+8n44JQL2oJmowVChPTg48S+jvZoztPfvwD79OC/LTtG6dMp+\" crossorigin=\"anonymous\"></script>\n  <style>\n    body { font-family: sans-serif;}\n    .header { padding: 1rem 2rem; }\n    .title { color:#000; text-decoration:none}\n    .title-main { display:block; font-weight: 700; }\n    .title-sub { font-size: 0.9rem; }\n    .container { max-width: 1280px; @media screen and (min-width: 80em) { margin-left: 10rem; } }\n    \n    #search-panel { padding: 0 2rem 1rem; }\n    \n    #results-panel { padding: 0 4rem 4rem 2rem; }\n    #results { margin: 0; padding: 0; }\n    #results li { padding: 1rem 0 0 0; margin-left: 1rem; }\n    .resultSource { display:inline-block; margin-bottom:0.5rem; a { text-decoration: none } }\n    .resultSourceTitle { font-size: 0.8rem; font-weight: 700; color: #000}\n    .resultSourceUrl { font-size: 0.8rem;}\n    .resultContent { font-size: 0.9rem; margin-bottom:0.5rem; a { text-decoration: none; span { color: #000; } &:hover { text-decoration: underline;} } }\n    #resultsCount { font-weight: 700;padding: 1rem 0;}\n    #answer-legend {font-size: 0.8rem; font-weight: 700;color: blue;margin-bottom: 0.5rem;}\n    #answer { margin-bottom: 1rem; border-left: 5px solid blue; padding-left: 1rem;  p { margin:0}}\n    \n    #video-panel { position:sticky;top:0; padding: 0 0 2rem; }\n    \n    #about-panel { padding: 1rem 0 0; border-top:1px solid #eee; h2 {font-size:1rem;;margin-bottom:1rem; } p {font-size: 0.8rem;margin-bottom:1rem;} }\n    #about-services { font-size: 0.8rem;margin: 0;padding-left: 1rem;margin-bottom: 1rem; li { margin-bottom: 0.5rem;} }\n  </style>\n</head>\n<body>\n  <div class=\"container\">\n      <div class=\"header\">\n        <div class=\"home-menu pure-menu pure-menu-horizontal\">\n          <a class=\"title\" href=\"/webhook/n8n_videos\">\n            <span class=\"title-main\">Search the Official N8N Youtube Channel</span>\n            <span class=\"title-sub\">Cover a wide range of videos in seconds!</span>\n          </a>\n        </div>\n      </div>\n    \n      <div class=\"pure-g\">\n        <div class=\"pure-u-1-2 pure-u-lg-3-5\">\n          <div id=\"search-panel\">\n            <form\n              id=\"search-form\"\n              class=\"pure-form\"\n              hx-get=\"/webhook/n8n_videos/api/search\"\n              hx-target=\"#results\"\n            >\n              <fieldset>\n                <input\n                  type=\"text\"\n                  name=\"q\"\n                  placeholder=\"Eg. When is the next n8n meetup?\"\n                  class=\"pure-input-1-2\"\n                  required\n                />\n                <select name=\"type\">\n                  <option value=\"all\">All</option>\n                  <option value=\"video\">Videos</option>\n                  <option value=\"stream\">LiveStreams</option>\n                </select>\n                <button\n                  type=\"submit\"\n                  class=\"pure-button pure-button-primary\"\n                  style=\"width:100px\"\n                >\n                  Search\n                </button>\n              </fieldset>\n            </form>\n          </div>\n          <div id=\"results-panel\">\n            <ul id=\"results\"></ul>\n          </div>\n        </div>\n        <div class=\"pure-u-1-2 pure-u-lg-2-5\">\n          <div id=\"video-panel\">\n            <div\n              id=\"ytplayer\"\n              style=\"display:flex;align-items:center;justify-content:center;width:100%;height:320px;background-color:#eee;color:#999;font-size:0.9rem\"\n            >\n              <div>Video will show here.</div>\n            </div>\n          </div>\n          <div id=\"about-panel\">\n            <h2>About N8N Video Search</h2>\n            <img\n              class=\"logo\"\n              src=\"https://res.cloudinary.com/daglih2g8/image/upload/f_auto,q_auto/v1/n8n-workflows/dscioipkxomw8gnj3h2v\"\n              width=\"70%\"\n            />\n            <p>\n              This demo has the ability to search recent video and livestream recordings from the official n8n.io Youtube channel.\n              The results are picked out of the transcripts allowing users to jump to the exact timestamp relevant to their query.\n              This application was built with the following services:\n            </p>\n            <ul id=\"about-services\">\n              <li>\n                <a href=\"https://www.apify.com?fpr=414q6\">Apify.com</a> - \n                Searches for \"n8n @ scale\" Youtube livestream recordings and downloads the transcripts. \n                Use my code <strong>\"20JIMLEUK\"</strong> at checkout for 20% OFF an Apify subscription (*expires May 2025).\n              </li>\n              <li>\n                <a href=\"https://qdrant.tech\">Qdrant.tech</a> - \n                Video transcripts are chunked and vectorised into a Qdrant Vector Store. Qdrant is super fast and have a robust search and filtering capabilities.\n              </li>\n              <li>\n                <a href=\"https://n8n.partnerlinks.io/ee7izbliiw0n\">n8n.io</a> - \n                n8n serves as our automation platform, backend API and frontend Interface for this demo! Really easy to put together quick AI projects like this one.\n                <a href=\"https://n8n.io/creators/jimleuk/\">Also be sure to checkout my other free n8n x AI templates here!</a>\n              </li>\n            </ul>\n            <p>\n              <strong>Questions or Comments?</strong> Check out my forum post here!\n            </p>\n            <p>\n              {{ $now.format('yyyy') }} &copy; Jim Le. \n              If you've enjoyed this demo, connect and follow me on \n              <a href=\"https://linkedin.com/in/jimleuk\">linkedin.com/in/jimleuk</a> and \n              <a href=\"https://x.com/jimle_uk\">x.com/jimle_uk</a>.\n            </p>\n          </div>\n        </div>\n    </div>\n  </div>\n  \n  <script>\n    const form = document.getElementById('search-form');\n    const button = form.querySelector('button[type=submit]');\n\n    document.body.addEventListener('htmx:beforeRequest', function(evt) {\n      form.disabled = true;\n      button.innerHTML = `<img\n        width=\"16px\"\n        height=\"16px\"\n        src=\"https://samherbert.net/svg-loaders/svg-loaders/oval.svg\"\n      />`;\n      button.disabled = true;\n    });\n  \n    document.body.addEventListener('htmx:afterRequest', function(evt) {\n      form.disabled = false;\n      button.innerHTML = 'Search';\n      button.disabled = false;\n    });\n  </script>\n  <script>\n    let player;\n\n    function loadVideo(id,ts) {\n      if (!player) {\n        player = new YT.Player('ytplayer', {\n          height: '390',\n          width: '640',\n          videoId: id,\n          playerVars: {\n            'playsinline': 1,\n            'origin': window.location.origin,\n            'start': ts\n          },\n          events: {\n            'onReady': (event) => { event.target.playVideo(); },\n            'onError': (event) => { console.error('onError', event) }\n          }\n        });\n        return;\n      }\n      \n      if (player && player.loadVideoById) {\n        player.loadVideoById(id, ts);\n      }\n    }\n\n    // Load the YouTube API asynchronously\n    const tag = document.createElement('script');\n    tag.src = \"https://www.youtube.com/iframe_api\";\n    document.body.appendChild(tag);\n  \n    // Create the player when API is ready\n    function onYouTubeIframeAPIReady() {\n      console.log('Youtube Player Ready!');\n    }\n  </script>\n</body>\n</html>"
      },
      "typeVersion": 1.2
    },
    {
      "id": "054feb14-d740-4d05-9ef5-d5c584e07eb6",
      "name": "Markdown",
      "type": "n8n-nodes-base.markdown",
      "position": [
        3080,
        180
      ],
      "parameters": {
        "mode": "markdownToHtml",
        "options": {},
        "markdown": "={{ $json.text }}"
      },
      "typeVersion": 1
    },
    {
      "id": "76c6fb4b-5b82-4115-8be4-63b6ce652793",
      "name": "便签 10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -540,
        880
      ],
      "parameters": {
        "color": 7,
        "width": 540,
        "height": 420,
        "content": "**Fig 1. N8N Video Search Frontend**\n![screenshot of web frontend](https://res.cloudinary.com/daglih2g8/image/upload/f_auto,q_auto/v1/n8n-workflows/lqd2giei1ap2owjgbuth#full-width)"
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      "typeVersion": 1
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    {
      "id": "b8ad1b2b-ff05-46a3-a817-951d02d69b01",
      "name": "便签11",
      "type": "n8n-nodes-base.stickyNote",
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      "parameters": {
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        "width": 400,
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        "content": "**Create Qdrant Collection**\nYou may need to create the qdrant collection manually. Run this in the qdrant dashboard's console.\n```\nPUT collections/n8n_videos\n{\n  \"vectors\": {\n      \"distance\": \"Cosine\",\n      \"size\": 1536\n  }\n}\n```"
      },
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    {
      "id": "189d6973-cd09-4176-b04b-4c8feea2e653",
      "name": "便签 12",
      "type": "n8n-nodes-base.stickyNote",
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      "parameters": {
        "width": 440,
        "height": 1080,
        "content": "## Try It Out!\n### Ever wanted to build your own RAG search over Youtube videos? Well, now you can! This n8n template shows how you can build a very capable Youtube search engine powered by Apify, Qdrant and your LLM of choice to quickly and efficiently browse over many videos for research or viewing pleasure.\n\nI originally started to template to ask questions on the \"n8n @ scale office-hours\" livestream videos but then extended it to include the latest videos on the official channel.\n\n**Check out a demo here**: [https://jimleuk.app.n8n.cloud/webhook/n8n_videos](https://jimleuk.app.n8n.cloud/webhook/n8n_videos)\n\n### How it works\n* Stage 1 is to collect the Youtube video transcripts into a vector database. For this, I've used Apify to scrape and Qdrant to store.\n* Transcripts are broken down into smaller chunks and carefully tagged with metadata to assist in later search and filtering.\n* Stage 2 is to build a web frontend for the user to query the vectorised transcripts. I'm using a webhook to serve a simple web app and API to dynamically fetch the results.\n* When searching for a video, I've opted to use Qdrant's search groups API which in this use-case, performs better as it returns a wider range of videos results.\n* In the web frontend, when the user clicks on the results, the matching Youtube video plays in an embedded video player.\n\n### How to use\n* Once credentials are all set, first run steps 1 - 3 to populate your vector store.\n* Next, set the workflow to active to expose the web frontend. Visit the webhook  [https://<n8n_url>/webhook/n8n_videos](/webhook/n8n_videos) in your browser to use it.\n* If only for personal use, you may want to remove. the rate limiting mechanism in step 4.\n\n### Customising the template\n* Not interested in official n8n videos? Swap to a different channel.\n* Google Gemini may perform better when extracting from transcripts.\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!"
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              "name": "results",
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      "parameters": {
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          "responseCode": 200
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        "respondWith": "text",
        "responseBody": "=<div id=\"answer\">{{ $json.text }}</div>\n{{ $json.results }}"
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      "typeVersion": 1.1
    },
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        "fieldToSplitOut": "result.groups"
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}