使用Lookio和OpenAI GPT从知识源创建基于事实的文章
高级
这是一个Content Creation, Multimodal AI领域的自动化工作流，包含 19 个节点。主要使用 Set, SplitOut, Aggregate, FormTrigger, HttpRequest 等节点。 使用Lookio和OpenAI GPT从知识源创建基于事实的文章
前置要求
- •可能需要目标 API 的认证凭证
- •OpenAI API Key
使用的节点 (19)
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
{
"nodes": [
{
"id": "92d1a6cf-5c1b-44e2-a6b7-7b51b5e8455e",
"name": "新内容 - 生成研究问题",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
-1008,
528
],
"parameters": {
"text": "=Content title: {{ $json.Title }}\n\nArticle guidelines: {{ $json.Guidelines }}\n\n",
"messages": {
"messageValues": [
{
"message": "=You will receive a content title and an angle. Return 5–8 non-overlapping questions in JSON array format that cover everything needed to write excellent content as it breaks down the topic into sub-questions.\n\nGuidelines: \n- Start with simple, short broad questions for example to define the terms (e.g., What is X?, Why is X important?, How to do X?). \n- Then move into more specific, advanced, or analytical questions. \n- Ensure questions together form a complete coverage of the topic. \n\n## Output format:\n\nYou'll return the questions in such a JSON ARRAY:\n\n[\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua, ut enim ad minim veniam?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur?\"\n }\n]"
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.5
},
{
"id": "a83ee6c4-b669-4985-a905-00c1246d4e90",
"name": "格式化问题与答案",
"type": "n8n-nodes-base.set",
"position": [
320,
768
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "1e33a1f4-a1a2-4962-ac72-cc518d7ff043",
"name": "Question",
"type": "string",
"value": "={{ $('Loop Over Questions').item.json.question }}"
},
{
"id": "903bcf38-13dd-48fb-8eb3-83f7a232aa53",
"name": "Answer",
"type": "string",
"value": "={{ $json.Output }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "012b019b-be98-416a-a2ba-457adbd1d81a",
"name": "新内容 - 生成 AI 输出",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
144,
-48
],
"parameters": {
"text": "=Article title:\n\n{{ $('Prepare form values').first().json.Title }}\n\nArticle guidelines:\n\n{{ $('Prepare form values').first().json.Guidelines }}\n\n\nContent to leverage:\n\nThis Q&A research provides high-quality knowledge, insights, and sources for your content. Be sure to include source links in your output whenever a source was used.\n\n{{ JSON.stringify($json['Content to leverage'], null, 2) }}\n",
"messages": {
"messageValues": [
{
"message": "=# Role\n\nYour role is to write an article based on the request in the user message.\n\n# What the user message contains\n\nThe user message includes the article title, any guidelines to follow, and comprehensive research material. This research is the sole basis for your article — do not invent information beyond it. When the research includes source links, integrate them smoothly as hyperlinks in the article.\n\n# How to write good articles\n\nYou excel at writing articles by making sure that they deliver value, are concise, seem like they are human-written, not using typical AI useless sentence formulations.\n\n# Your output format\n\nOutput only the full article.\n\n* Begin with a `# H1` title.\n* Use subheadings throughout the article."
}
]
},
"promptType": "define"
},
"typeVersion": 1.5
},
{
"id": "c39ebdbe-0fd8-4a8a-8e6f-4f71f0593c4c",
"name": "新文章表单",
"type": "n8n-nodes-base.formTrigger",
"position": [
-1568,
528
],
"webhookId": "03bf5925-caac-4232-a081-14ed9c3d04d9",
"parameters": {
"options": {},
"formTitle": "New article",
"formFields": {
"values": [
{
"fieldLabel": "Article title",
"placeholder": "10 ways to do Influencer Marketing in 2025",
"requiredField": true
},
{
"fieldLabel": "Article guidelines",
"placeholder": "Promote xyz and write in British English...",
"requiredField": true
}
]
},
"formDescription": "Fill in this form to trigger the generation of a new article."
},
"typeVersion": 2.3
},
{
"id": "364b4077-2727-460d-b400-e7d39de4ec02",
"name": "准备表单值",
"type": "n8n-nodes-base.set",
"position": [
-1312,
528
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ec4734ed-654f-478a-ab90-91bfcee1e208",
"name": "Title",
"type": "string",
"value": "={{ $json['Article title'] }}"
},
{
"id": "c034402e-a7b9-4c91-aaed-f24a838c3d91",
"name": "Guidelines",
"type": "string",
"value": "={{ $json['Article guidelines'] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "d9122da2-a108-4e51-902f-4ffd62d0a69b",
"name": "结构化输出解析器",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
-880,
752
],
"parameters": {
"jsonSchemaExample": "[\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua, ut enim ad minim veniam?\"\n },\n {\n \"question\": \"Lorem ipsum dolor sit amet, consectetur?\"\n }\n]"
},
"typeVersion": 1.2
},
{
"id": "fc390142-c963-46eb-9ec7-917ad1374a14",
"name": "GPT 5 mini",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-1008,
752
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-5-mini",
"cachedResultName": "gpt-5-mini"
},
"options": {
"reasoningEffort": "low"
}
},
"credentials": {
"openAiApi": {
"id": "dMiSy27YCK6c6rra",
"name": "Duv's OpenAI"
}
},
"typeVersion": 1.2
},
{
"id": "fca117d9-a040-4e51-b938-c2125f33f040",
"name": "拆分问题",
"type": "n8n-nodes-base.splitOut",
"position": [
-608,
528
],
"parameters": {
"options": {},
"fieldToSplitOut": "output"
},
"typeVersion": 1
},
{
"id": "6cc6e76b-1b0b-4aac-896b-57648949c9e5",
"name": "循环处理问题",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-352,
512
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "c017af5b-418e-4231-ae57-6c642324e0b9",
"name": "GPT 5 聊天",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
224,
176
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-5-chat-latest",
"cachedResultName": "gpt-5-chat-latest"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "dMiSy27YCK6c6rra",
"name": "Duv's OpenAI"
}
},
"typeVersion": 1.2
},
{
"id": "908b7320-37b4-45c1-8fc5-c0670398ac49",
"name": "文章结果",
"type": "n8n-nodes-base.set",
"position": [
560,
-48
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d3b8c4bc-27d9-4d57-b8d6-3a40b84d7b7d",
"name": "Article",
"type": "string",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e00af6b7-0d8a-410c-9d78-743a47b64d5b",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-96,
512
],
"parameters": {
"color": 7,
"width": 224,
"height": 320,
"content": ""
},
"typeVersion": 1
},
{
"id": "009734ed-642f-4916-a3b0-83fa2b6b32f9",
"name": "聚合研究内容",
"type": "n8n-nodes-base.aggregate",
"position": [
-112,
160
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "Content to leverage"
},
"typeVersion": 1
},
{
"id": "7e086700-f7cd-44e3-9f23-645a0ac63769",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1152,
-256
],
"parameters": {
"width": 832,
"height": 560,
"content": "# 基于您知识库的 AI 文章撰写器"
},
"typeVersion": 1
},
{
"id": "2311af8d-8f3b-4153-9e9a-94cbdfd995b5",
"name": "便签 2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-448,
384
],
"parameters": {
"color": 6,
"width": 976,
"height": 608,
"content": "## 使用 Lookio 逐一回答每个子问题"
},
"typeVersion": 1
},
{
"id": "b8d2e5a4-2390-4fd4-8b56-2d6a5e745d48",
"name": "便签 3",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
-208
],
"parameters": {
"color": 5,
"width": 368,
"height": 512,
"content": "## AI 步骤：基于研究和初始请求撰写最终文章"
},
"typeVersion": 1
},
{
"id": "644b48e0-1bd3-470d-88ae-0a7da22e6eac",
"name": "便签 4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1152,
384
],
"parameters": {
"color": 6,
"width": 480,
"height": 608,
"content": "## 将主题分解为子问题"
},
"typeVersion": 1
},
{
"id": "c0c2508f-2d93-4246-be63-3fd73100ad32",
"name": "便签 5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1648,
400
],
"parameters": {
"color": 4,
"width": 272,
"height": 304,
"content": "## 填写此表单以请求新文章"
},
"typeVersion": 1
},
{
"id": "0b703c42-c0a9-4a49-84e9-4dfa60025d6e",
"name": "查询 Lookio 助手",
"type": "n8n-nodes-base.httpRequest",
"position": [
-32,
560
],
"parameters": {
"url": "https://api.lookio.app/webhook/query",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"bodyParameters": {
"parameters": [
{
"name": "query",
"value": "={{ $json.question }}"
},
{
"name": "assistant_id",
"value": "<your-assistant-id>"
},
{
"name": "query_mode",
"value": "flash"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "api_key",
"value": "<your-lookio-api-key>"
}
]
}
},
"typeVersion": 4.2
}
],
"connections": {
"GPT 5 chat": {
"ai_languageModel": [
[
{
"node": "New content - Generate the AI output",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"GPT 5 mini": {
"ai_languageModel": [
[
{
"node": "New content - generate research questions",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"New article form": {
"main": [
[
{
"node": "Prepare form values",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Questions": {
"main": [
[
{
"node": "Aggregate research content",
"type": "main",
"index": 0
}
],
[
{
"node": "Query Lookio Assistant",
"type": "main",
"index": 0
}
]
]
},
"Prepare form values": {
"main": [
[
{
"node": "New content - generate research questions",
"type": "main",
"index": 0
}
]
]
},
"Split Out Questions": {
"main": [
[
{
"node": "Loop Over Questions",
"type": "main",
"index": 0
}
]
]
},
"Query Lookio Assistant": {
"main": [
[
{
"node": "Format question and answer",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "New content - generate research questions",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Aggregate research content": {
"main": [
[
{
"node": "New content - Generate the AI output",
"type": "main",
"index": 0
}
]
]
},
"Format question and answer": {
"main": [
[
{
"node": "Loop Over Questions",
"type": "main",
"index": 0
}
]
]
},
"New content - Generate the AI output": {
"main": [
[
{
"node": "Article result",
"type": "main",
"index": 0
}
]
]
},
"New content - generate research questions": {
"main": [
[
{
"node": "Split Out Questions",
"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 - 内容创作, 多模态 AI
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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