基于AI的Loom视频问答（Gemini-2.5和Slack通知）
高级
这是一个AI, IT Ops领域的自动化工作流，包含 24 个节点。主要使用 If, Set, Code, Wait, Merge 等节点，结合人工智能技术实现智能自动化。 基于AI的Loom视频问答：使用Gemini-2.5和Slack通知
前置要求
- •Slack Bot Token 或 Webhook URL
- •可能需要目标 API 的认证凭证
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"meta": {
"instanceId": "59761dc282918b63de68f8544bab8098be77f63f00c94bc04dd5d71886f7d2e1",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "1b69f192-6e52-4484-8953-285441906bde",
"name": "Extract Video ID",
"type": "n8n-nodes-base.set",
"position": [
600,
-420
],
"parameters": {
"values": {
"string": [
{
"name": "videoId",
"value": "={{ $json['Loom Video URL'].split('/').pop().split(\"?\")[0] }}"
}
]
},
"options": {}
},
"typeVersion": 1
},
{
"id": "96a1f9d1-41da-4f73-aef1-5fc61a2ecbde",
"name": "Fetch Download URL",
"type": "n8n-nodes-base.httpRequest",
"position": [
820,
-425
],
"parameters": {
"url": "=https://www.loom.com/api/campaigns/sessions/{{ $json.videoId }}/transcoded-url",
"method": "POST",
"options": {}
},
"typeVersion": 3
},
{
"id": "983e0686-6a65-495c-af5c-103001995271",
"name": "Download Video Content",
"type": "n8n-nodes-base.httpRequest",
"position": [
1040,
-420
],
"parameters": {
"url": "={{ $json.url }}",
"options": {}
},
"typeVersion": 3
},
{
"id": "9426bf71-eb18-419f-a693-a7b5832956a6",
"name": "Loom URL Form",
"type": "n8n-nodes-base.formTrigger",
"position": [
160,
-420
],
"webhookId": "5c01bf3e-8c98-4311-859e-dac20b35d252",
"parameters": {
"options": {},
"formTitle": "Loom Video Downloader to Gemini",
"formFields": {
"values": [
{
"fieldLabel": "Loom Video URL",
"placeholder": "https://www.loom.com/share/4ef793670bfd4b06a7c042b1b439d51a",
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "Enter a question about the video",
"requiredField": true
}
]
},
"formDescription": "Enter a public loom video url and the video will be downloaded and provided as input to Google Gemini"
},
"typeVersion": 2.2
},
{
"id": "a7331691-acda-4191-add6-65ab1f61b1d5",
"name": "Upload Video Data",
"type": "n8n-nodes-base.httpRequest",
"position": [
2360,
-425
],
"parameters": {
"url": "={{ $json.uploadUrl }}",
"method": "PUT",
"options": {
"response": {
"response": {
"responseFormat": "json"
}
}
},
"sendBody": true,
"contentType": "binaryData",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Length",
"value": "={{ $json.fileSizeInBytes }}"
},
{
"name": "X-Goog-Upload-Offset",
"value": "0"
},
{
"name": "X-Goog-Upload-Command",
"value": "upload, finalize"
}
]
},
"inputDataFieldName": "data"
},
"typeVersion": 4.1
},
{
"id": "c24fb0b7-d21f-4fe7-bed4-b0e2ecd0c2b2",
"name": "Start Upload Session for Gemini",
"type": "n8n-nodes-base.httpRequest",
"position": [
1700,
-500
],
"parameters": {
"url": "=https://generativelanguage.googleapis.com/upload/v1beta/files",
"method": "POST",
"options": {
"response": {
"response": {
"fullResponse": true
}
}
},
"jsonBody": "={\n \"file\": {\n \"display_name\": \"{{ $json.displayName }}\"\n }\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"headerParameters": {
"parameters": [
{
"name": "X-Goog-Upload-Protocol",
"value": "resumable"
},
{
"name": "X-Goog-Upload-Command",
"value": "start"
},
{
"name": "X-Goog-Upload-Header-Content-Length",
"value": "={{ $json.fileSizeInBytes }}"
},
{
"name": "X-Goog-Upload-Header-Content-Type",
"value": "={{ $json.mimeType }}"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "wDRHYE3a1YNvuZ5Z",
"name": "Gemini API Query Auth"
}
},
"typeVersion": 4.1
},
{
"id": "e92b0b3d-e309-44b3-a288-2fea8f50c695",
"name": "Valid Loom URL?",
"type": "n8n-nodes-base.if",
"position": [
380,
-420
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "debf942c-92e7-43f0-9c9b-15d03aa6e507",
"operator": {
"type": "string",
"operation": "startsWith"
},
"leftValue": "={{ $json['Loom Video URL'] }}",
"rightValue": "https://www.loom.com/share/"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "3180c3a0-b5cc-4501-80ed-2ebce9463af2",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
2140,
-425
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.1
},
{
"id": "5c1a814e-041b-456d-89f2-22a1845d6693",
"name": "Merge1",
"type": "n8n-nodes-base.merge",
"position": [
1480,
-420
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.1
},
{
"id": "51021cc5-971d-4287-be7f-d102ccb2505f",
"name": "Extract File Details",
"type": "n8n-nodes-base.set",
"position": [
2580,
-420
],
"parameters": {
"values": {
"string": [
{
"name": "geminiFileUri",
"value": "={{ $json.file.uri }}"
},
{
"name": "geminiFileName",
"value": "={{ $json.file.name }}"
},
{
"name": "geminiFileMimeType",
"value": "={{ $json.file.mimeType }}"
}
]
},
"options": {},
"keepOnlySet": true
},
"typeVersion": 1
},
{
"id": "a0b210dc-4d66-45eb-a1f6-526297049bea",
"name": "Wait 5 Seconds",
"type": "n8n-nodes-base.wait",
"position": [
3060,
-400
],
"webhookId": "ccaddc3f-1091-4e08-a513-0f61bbfe025f",
"parameters": {},
"typeVersion": 1.1
},
{
"id": "e36643d5-5102-4ef9-99ce-3777d38d0f16",
"name": "Loop Until Video Is Active",
"type": "n8n-nodes-base.splitInBatches",
"position": [
2800,
-425
],
"parameters": {
"options": {
"reset": false
}
},
"typeVersion": 3
},
{
"id": "6496a5f2-b52a-4f68-bfef-09788e36aac1",
"name": "Get Video Status",
"type": "n8n-nodes-base.httpRequest",
"position": [
3240,
-400
],
"parameters": {
"url": "={{ $json.geminiFileUri }}",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth"
},
"credentials": {
"httpQueryAuth": {
"id": "wDRHYE3a1YNvuZ5Z",
"name": "Gemini API Query Auth"
}
},
"typeVersion": 4.2
},
{
"id": "4a822835-719f-46aa-8f0e-1715af385f7a",
"name": "Video Active?",
"type": "n8n-nodes-base.if",
"position": [
3460,
-400
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "0f9c3f19-3a7b-43c3-9e81-41cfcf649d00",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.state }}",
"rightValue": "ACTIVE"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "9e78e6d5-435c-4c8a-8cd4-64f0c5e4ff7f",
"name": "Ask Gemini to Summarize Video",
"type": "n8n-nodes-base.httpRequest",
"position": [
3740,
-460
],
"parameters": {
"url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-pro-preview-03-25:generateContent",
"method": "POST",
"options": {},
"jsonBody": "={\n \"contents\": [\n {\n \"parts\": [\n {\n \"file_data\": {\n \"mime_type\": \"video/mp4\",\n \"file_uri\": \"{{ $json.uri }}\"\n }\n },\n {\n \"text\": {{ JSON.stringify($('Loom URL Form').first().json['Enter a question about the video']) }}\n }\n ]\n }\n ]\n} ",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth"
},
"credentials": {
"httpQueryAuth": {
"id": "wDRHYE3a1YNvuZ5Z",
"name": "Gemini API Query Auth"
}
},
"typeVersion": 4.2
},
{
"id": "77df9ffb-2a4d-46c9-a2a1-44eaf1f7a734",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
120,
-640
],
"parameters": {
"color": 7,
"width": 1080,
"height": 420,
"content": "## Download Loom Video\n\nEnter loom video url via form, then make requests to loom api to get url of video and then download."
},
"typeVersion": 1
},
{
"id": "89545746-96c1-4896-95bf-c5bca17b1ef3",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1200,
-640
],
"parameters": {
"color": 5,
"width": 1300,
"height": 420,
"content": "## Upload Video to Gemini\n\nExtract data from video needed for upload to Gemini. Then start an authenticated upload session, get the url to upload to and upload the video."
},
"typeVersion": 1
},
{
"id": "f35ceb48-2931-47b5-835a-bf3cfbec813b",
"name": "Extract URL for Uploading",
"type": "n8n-nodes-base.set",
"position": [
1920,
-500
],
"parameters": {
"values": {
"string": [
{
"name": "uploadUrl",
"value": "={{ $json.headers['x-goog-upload-url'] }}"
}
]
},
"options": {},
"keepOnlySet": true
},
"typeVersion": 1
},
{
"id": "02cff2c4-5f4f-4422-acc8-bb5e6a125365",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
2500,
-640
],
"parameters": {
"width": 1120,
"height": 420,
"content": "## Ensure Video Is Active Before Using with LLM Request\n\nUploaded videos start in \"PROCESSING\" state when first uploaded and need to be \"ACTIVE\" before they can be provided to a Gemini LLM request."
},
"typeVersion": 1
},
{
"id": "9f457708-2b80-403e-8030-1dbdbc81bc54",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
3620,
-640
],
"parameters": {
"color": 4,
"width": 580,
"height": 420,
"content": "## Send Request to Gemini LLM\n\nOnce video is active, send video to Gemini with prompt from the form"
},
"typeVersion": 1
},
{
"id": "33800aac-7646-40ce-98b2-213f48f91ad8",
"name": "Calculate File Size",
"type": "n8n-nodes-base.code",
"position": [
1240,
-520
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "// Get the input item (using $input.item for single item processing is fine)\nconst item = $input.item;\n\n// --- Define the Expected Binary Property Name ---\n// This is crucial. If the node feeding this Code node outputs binary data\n// under a different property name (e.g., 'file', 'binaryOutput'),\n// you MUST change this value accordingly.\nconst binaryPropertyName = 'data';\n\n// --- Check if any binary data exists and if the specific property is present ---\nif (!item.binary || !item.binary[binaryPropertyName]) {\n const availableProperties = item.binary ? Object.keys(item.binary).join(', ') : 'none';\n throw new Error(`Binary property '${binaryPropertyName}' not found on input item. Available binary properties: ${availableProperties}. Check the 'Property Name' setting in the preceding node if it handles binary data (e.g., HTTP Request, Read File).`);\n}\n\n// --- Access Binary Data and Calculate Size using Helpers ---\n// Use the n8n helper function to get the buffer\nconst buffer = await this.helpers.getBinaryDataBuffer(0, binaryPropertyName);\n\n// The length of the buffer *is* the size in bytes\nconst fileSizeInBytes = buffer.length;\n\n// --- Prepare Output JSON ---\nconst outputJson = {\n fileSizeInBytes: fileSizeInBytes,\n};\n\nreturn outputJson;"
},
"typeVersion": 2
},
{
"id": "e6fdc875-2fde-4da3-8330-11e72ba02d33",
"name": "Set Video Attributes",
"type": "n8n-nodes-base.set",
"position": [
1240,
-360
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "185823b8-48f0-423b-a670-33a5215cf348",
"name": "mimeType",
"type": "string",
"value": "={{ $binary.data.mimeType }}"
},
{
"id": "94cce1af-7bcc-49ea-9968-c0b12c2fbc82",
"name": "displayName",
"type": "string",
"value": "=loom_{{ $('Extract Video ID').item.json.videoId }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "3ae06fca-7edb-4949-a9e7-588256ffddd0",
"name": "Slack",
"type": "n8n-nodes-base.slack",
"position": [
4020,
-460
],
"webhookId": "3ec96773-ccb6-446d-8b2f-0d53e50bfca8",
"parameters": {
"text": "=Loom video response from Gemini: {{ $json.candidates[0].content.parts[0].text }}",
"user": {
"__rl": true,
"mode": "username",
"value": "@giosegar"
},
"select": "user",
"otherOptions": {}
},
"credentials": {
"slackApi": {
"id": "9",
"name": "Bot access token"
}
},
"typeVersion": 2.3
},
{
"id": "b564cf3b-1fd7-4b4d-9fda-1e5ba2842224",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-440,
-640
],
"parameters": {
"width": 420,
"height": 400,
"content": "## How to use the workflow\nThis workflow takes a Loom link, extracts the video ID, uses the Loom API to download the video, then sends it to Gemini along with your question. Finally, it sends the output to Slack. \n\nTo use it, you just need to add your own [API key for Gemini](https://aistudio.google.com/app/apikey) and Slack connection. \n\nClick the link above to get your Gemini API key, then add a generic \"Query auth\" type credential in n8n. The name will be \"key\" and the value will be your API key.\n\nOne way to customize this workflow would be to make the trigger any received email, extract the Loom link, and run an auto-prompt like \"Describe this video in detail\". "
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"3180c3a0-b5cc-4501-80ed-2ebce9463af2": {
"main": [
[
{
"node": "a7331691-acda-4191-add6-65ab1f61b1d5",
"type": "main",
"index": 0
}
]
]
},
"5c1a814e-041b-456d-89f2-22a1845d6693": {
"main": [
[
{
"node": "c24fb0b7-d21f-4fe7-bed4-b0e2ecd0c2b2",
"type": "main",
"index": 0
},
{
"node": "3180c3a0-b5cc-4501-80ed-2ebce9463af2",
"type": "main",
"index": 1
}
]
]
},
"9426bf71-eb18-419f-a693-a7b5832956a6": {
"main": [
[
{
"node": "e92b0b3d-e309-44b3-a288-2fea8f50c695",
"type": "main",
"index": 0
}
]
]
},
"4a822835-719f-46aa-8f0e-1715af385f7a": {
"main": [
[
{
"node": "e36643d5-5102-4ef9-99ce-3777d38d0f16",
"type": "main",
"index": 0
}
],
[
{
"node": "a0b210dc-4d66-45eb-a1f6-526297049bea",
"type": "main",
"index": 0
}
]
]
},
"a0b210dc-4d66-45eb-a1f6-526297049bea": {
"main": [
[
{
"node": "6496a5f2-b52a-4f68-bfef-09788e36aac1",
"type": "main",
"index": 0
}
]
]
},
"e92b0b3d-e309-44b3-a288-2fea8f50c695": {
"main": [
[
{
"node": "1b69f192-6e52-4484-8953-285441906bde",
"type": "main",
"index": 0
}
]
]
},
"1b69f192-6e52-4484-8953-285441906bde": {
"main": [
[
{
"node": "96a1f9d1-41da-4f73-aef1-5fc61a2ecbde",
"type": "main",
"index": 0
}
]
]
},
"6496a5f2-b52a-4f68-bfef-09788e36aac1": {
"main": [
[
{
"node": "4a822835-719f-46aa-8f0e-1715af385f7a",
"type": "main",
"index": 0
}
]
]
},
"a7331691-acda-4191-add6-65ab1f61b1d5": {
"main": [
[
{
"node": "51021cc5-971d-4287-be7f-d102ccb2505f",
"type": "main",
"index": 0
}
]
]
},
"96a1f9d1-41da-4f73-aef1-5fc61a2ecbde": {
"main": [
[
{
"node": "983e0686-6a65-495c-af5c-103001995271",
"type": "main",
"index": 0
}
]
]
},
"33800aac-7646-40ce-98b2-213f48f91ad8": {
"main": [
[
{
"node": "5c1a814e-041b-456d-89f2-22a1845d6693",
"type": "main",
"index": 0
}
]
]
},
"51021cc5-971d-4287-be7f-d102ccb2505f": {
"main": [
[
{
"node": "e36643d5-5102-4ef9-99ce-3777d38d0f16",
"type": "main",
"index": 0
}
]
]
},
"e6fdc875-2fde-4da3-8330-11e72ba02d33": {
"main": [
[
{
"node": "5c1a814e-041b-456d-89f2-22a1845d6693",
"type": "main",
"index": 1
}
]
]
},
"983e0686-6a65-495c-af5c-103001995271": {
"main": [
[
{
"node": "33800aac-7646-40ce-98b2-213f48f91ad8",
"type": "main",
"index": 0
},
{
"node": "e6fdc875-2fde-4da3-8330-11e72ba02d33",
"type": "main",
"index": 0
}
]
]
},
"f35ceb48-2931-47b5-835a-bf3cfbec813b": {
"main": [
[
{
"node": "3180c3a0-b5cc-4501-80ed-2ebce9463af2",
"type": "main",
"index": 0
}
]
]
},
"e36643d5-5102-4ef9-99ce-3777d38d0f16": {
"main": [
[
{
"node": "9e78e6d5-435c-4c8a-8cd4-64f0c5e4ff7f",
"type": "main",
"index": 0
}
],
[
{
"node": "a0b210dc-4d66-45eb-a1f6-526297049bea",
"type": "main",
"index": 0
}
]
]
},
"9e78e6d5-435c-4c8a-8cd4-64f0c5e4ff7f": {
"main": [
[
{
"node": "3ae06fca-7edb-4949-a9e7-588256ffddd0",
"type": "main",
"index": 0
}
]
]
},
"c24fb0b7-d21f-4fe7-bed4-b0e2ecd0c2b2": {
"main": [
[
{
"node": "f35ceb48-2931-47b5-835a-bf3cfbec813b",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
高级 - 人工智能, IT 运维
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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人力资源
AI智能助手：与Supabase存储和Google Drive文件对话
AI智能助手：与Supabase存储和Google Drive文件对话
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62 节点Mark Shcherbakov
工程
使用 Qdrant 的完整 RAG 系统，带自动来源引用
使用Qdrant、Gemini和OpenAI构建带自动引用的RAG系统
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29 节点Davide
人工智能
CSV到HubSpot上传器（动态字段映射与Google Sheets集成）
具有动态字段映射和Google Sheets集成的CSV到HubSpot上传器
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36 节点PollupAI
人工智能
AI驱动电话销售自动化，集成Vapi.ai、GPT-4o和Google Sheets
AI驱动电话销售自动化，集成Vapi.ai、GPT-4o和Google Sheets
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38 节点Amit Mehta
销售
工作流信息
难度等级
高级
节点数量24
分类2
节点类型10
作者
GiovanniSegar
@giosegarI build automations and web apps for businesses. If your business has over $1M in revenue, I'll help you scale with smart systems.
外部链接
在 n8n.io 查看 →
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