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n8n 中文网amn8n.com

使用Lookio、Linkup和GPT-5创建双源专家文章

高级

这是一个自动化工作流,包含 21 个节点。主要使用 Set, SplitOut, Aggregate, FormTrigger, HttpRequest 等节点。 使用Lookio、Linkup和GPT-5创建双源专家文章

前置要求
  • 可能需要目标 API 的认证凭证
  • OpenAI API Key

分类

-
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": "7bf61071-1e5c-4a4f-a187-86322f7870fd",
      "name": "新内容 - 生成研究问题",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        -1024,
        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": "1b690964-85a5-4b63-8bc0-bdcabda04687",
      "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{{ $('Prepare form values').first().json.Guidelines }}\n\n\nContent to leverage:\n\nThis detailed Q&A research provides high-quality knowledge, insights, and sources for your content. Each question features insights from our internal knowledge base and insights found on the web. Be sure to include source links in your output whenever a source was used.\n\n{{ JSON.stringify($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": "2bcda6a8-4a48-4f93-be65-8dc21116d2dd",
      "name": "新文章表单",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        -1568,
        528
      ],
      "webhookId": "38617360-598d-40c5-a07a-9214085a87e2",
      "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": "06e35599-9ab1-445b-aa1e-7a04ea798c8a",
      "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": "ddd15121-9dd9-48e0-90cf-5f3970e43564",
      "name": "结构化输出解析器",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        -896,
        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": "bbf1d36c-9cfa-4bb0-b1b1-7403493bd836",
      "name": "GPT 5 mini",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1024,
        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": "1472aa87-3e1a-4ca1-8985-4e4a37ea6544",
      "name": "拆分问题",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        -608,
        528
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "output"
      },
      "typeVersion": 1
    },
    {
      "id": "d49ae369-48e2-4566-9d46-f532abd54213",
      "name": "循环处理问题",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        -352,
        512
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "ceb186a4-09ba-4cf2-bb3d-3ff8f9677d13",
      "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": "2b8a4dbb-0920-432c-a4b0-8cb08a49a1ea",
      "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": "6f55841c-a444-4f2a-ab9d-ebd7b2dd222a",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -96,
        512
      ],
      "parameters": {
        "color": 7,
        "width": 224,
        "height": 368,
        "content": "连接您的 [lookio.app](https://www.lookio.app) 凭证并设置要查询的助手 ID"
      },
      "typeVersion": 1
    },
    {
      "id": "f167aab8-2d09-4748-9eba-74bbd8acae27",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1152,
        -256
      ],
      "parameters": {
        "width": 832,
        "height": 560,
        "content": "# 专家 AI 文章撰写器 - 知识库 + 网络"
      },
      "typeVersion": 1
    },
    {
      "id": "7a895183-d6fc-4a09-bd3a-ec90e633a040",
      "name": "便签 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -448,
        384
      ],
      "parameters": {
        "color": 6,
        "width": 1232,
        "height": 608,
        "content": "## 使用 Lookio 回答每个子问题以获取内部知识见解,使用 Linkup 获取网络见解"
      },
      "typeVersion": 1
    },
    {
      "id": "e1be0351-9071-446c-acab-2640f776b2ea",
      "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": "6a0492ec-fd4c-449c-ab88-d8dcdd02f9b1",
      "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": "fa485a6a-d18e-4ff6-a808-9e3deb904c0f",
      "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": "13a04bfc-4e36-48fa-8c3e-c0104a959c8f",
      "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 API KEY>"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "3fe8d920-61d3-410c-bba5-0a42ac0783f2",
      "name": "格式化问题和见解",
      "type": "n8n-nodes-base.set",
      "position": [
        592,
        768
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "1e33a1f4-a1a2-4962-ac72-cc518d7ff043",
              "name": "Question",
              "type": "string",
              "value": "={{ $('Loop Over Questions').item.json.question }}"
            },
            {
              "id": "0c1e6dbd-11cf-49b0-8105-f4736c5102aa",
              "name": "Internal knowledge insights",
              "type": "string",
              "value": "={{ $('Query Lookio Assistant').item.json.Output }}"
            },
            {
              "id": "903bcf38-13dd-48fb-8eb3-83f7a232aa53",
              "name": "Web insights",
              "type": "array",
              "value": "={{ $json.insights }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "881dfbff-7917-49cc-9584-6e43ada8fe8e",
      "name": "便签6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        208,
        512
      ],
      "parameters": {
        "color": 7,
        "width": 224,
        "height": 368,
        "content": "连接您的 linkup.so 凭证(在标头中添加您的 API 密钥或使用您为 Linkup 存储的\"通用凭证\")。"
      },
      "typeVersion": 1
    },
    {
      "id": "6bc89e0a-ab8d-44ff-bbda-d36764791fc1",
      "name": "查询 Linkup 进行 AI 网络搜索",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        272,
        560
      ],
      "parameters": {
        "url": "https://api.linkup.so/v1/search",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "authentication": "genericCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "q",
              "value": "=Find 5 specific and meaningful insights about the topic:\n\n\"{{ $('Loop Over Questions').item.json.question }}\"\n\nthat would strengthen an article paragraph. Each insight should be a concrete finding, statistic, research result, or illustrative example (not just generic background), and should come from a robust source."
            },
            {
              "name": "depth",
              "value": "standard"
            },
            {
              "name": "outputType",
              "value": "structured"
            },
            {
              "name": "structuredOutputSchema",
              "value": "={\n  \"type\": \"object\",\n  \"properties\": {\n    \"insights\": {\n      \"description\": \"A list of 5 insights about the topic\",\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"insight\": {\n            \"description\": \"A one-sentence key insight, finding, or example about the topic\",\n            \"type\": \"string\"\n          },\n          \"url\": {\n            \"description\": \"The URL of the source where the insight is from\",\n            \"type\": \"string\"\n          },\n          \"title\": {\n            \"description\": \"The title of the page containing the insight\",\n            \"type\": \"string\"\n          }\n        },\n        \"required\": [\"insight\", \"url\", \"title\"]\n      }\n    }\n  }\n}"
            },
            {
              "name": "includeImages",
              "value": "=false"
            }
          ]
        },
        "genericAuthType": "httpBearerAuth"
      },
      "credentials": {
        "httpBearerAuth": {
          "id": "W7AgeoVOv60DlvyS",
          "name": "Linkup - web search AI"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "74d00282-becc-4bd2-a853-fd90abac6ce6",
      "name": "汇总完整研究",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        -112,
        160
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData",
        "destinationFieldName": "Content to leverage"
      },
      "typeVersion": 1
    }
  ],
  "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 full research",
            "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": "Query Linkup for AI web-search",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Aggregate full research": {
      "main": [
        [
          {
            "node": "New content - Generate the AI output",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "New content - generate research questions",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Format question and insights": {
      "main": [
        [
          {
            "node": "Loop Over Questions",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Query Linkup for AI web-search": {
      "main": [
        [
          {
            "node": "Format question and insights",
            "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

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。

工作流信息
难度等级
高级
节点数量21
分类-
节点类型10
难度说明

适合高级用户,包含 16+ 个节点的复杂工作流

作者
Guillaume Duvernay

Guillaume Duvernay

@duv

AI and automation expert

外部链接
在 n8n.io 查看

分享此工作流