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生产:求职信生成器

高级

这是一个HR, AI领域的自动化工作流,包含 20 个节点。主要使用 Set, Webhook, Markdown, Agent, RespondToWebhook 等节点,结合人工智能技术实现智能自动化。 AI 驱动的 Upwork 求职信生成器 - 集成 Pinecone、Groq、Google Gemini、SerpAPI

前置要求
  • HTTP Webhook 端点(n8n 会自动生成)
  • Pinecone API Key
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
{
  "id": "4FnexGEw3EKxHlzw",
  "meta": {
    "instanceId": "d16fb7d4b3eb9b9d4ad2ee6a7fbae593d73e9715e51f583c2a0e9acd1781c08e",
    "templateCredsSetupCompleted": true
  },
  "name": "生产:求职信生成器",
  "tags": [
    {
      "id": "Vs70y1mj5s2XzUap",
      "name": "Production",
      "createdAt": "2024-12-24T14:42:00.549Z",
      "updatedAt": "2024-12-24T14:42:00.549Z"
    }
  ],
  "nodes": [
    {
      "id": "98b74f0f-4fe1-4501-9c96-8b7b4969308b",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        188,
        20
      ],
      "parameters": {},
      "typeVersion": 1.7
    },
    {
      "id": "79ff8cbb-866b-45ba-bec5-3d02d573b69b",
      "name": "Pinecone 向量存储",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "position": [
        -324,
        435
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "5d86f816-53b3-433c-9570-f3f07375ec2c",
      "name": "嵌入 Google Gemini",
      "type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini",
      "position": [
        -236,
        630
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "e9f86249-b1df-4f85-8924-1b35efa5534e",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -1140,
        20
      ],
      "webhookId": "87466a6e-2c70-4862-865c-5fdd1313557c",
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "fe11ef69-aada-4eb3-a7e1-0dffa54c8b1e",
      "name": "窗口缓冲记忆",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        172,
        240
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "df37619f-f7fc-403e-b41f-bcb27c5034a1",
      "name": "Groq聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatGroq",
      "position": [
        52,
        240
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "75e711b5-4675-4006-a70f-a9ea7839cad8",
      "name": "响应 Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        1008,
        20
      ],
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "c057a3fd-d0b8-435d-9111-50f173448f99",
      "name": "Markdown",
      "type": "n8n-nodes-base.markdown",
      "position": [
        788,
        20
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "93a9f162-9d86-4ce6-9d8e-4a45026747cf",
      "name": "字段映射",
      "type": "n8n-nodes-base.set",
      "position": [
        -920,
        20
      ],
      "parameters": {},
      "typeVersion": 3.4
    },
    {
      "id": "d58d312e-c995-4183-a53d-1d7f67f26fac",
      "name": "Basic LLM Chain",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        -700,
        20
      ],
      "parameters": {},
      "typeVersion": 1.5
    },
    {
      "id": "b3d6ca0d-3a03-4a23-aa4c-672be3cac6af",
      "name": "Groq聊天模型1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGroq",
      "position": [
        -612,
        240
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "b112f5b3-71c5-4be4-abb0-8a68095b102a",
      "name": "问答链",
      "type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
      "position": [
        -324,
        20
      ],
      "parameters": {},
      "typeVersion": 1.4
    },
    {
      "id": "66bf3d46-9edf-4db6-89ce-d08a1f0eeec3",
      "name": "向量存储检索器",
      "type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
      "position": [
        -324,
        240
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "56c90cd4-b0a2-493d-99a9-bbb8d376635e",
      "name": "使用向量存储回答问题",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "position": [
        292,
        242.5
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "31d3cb1f-9289-4220-af2f-5f9d8b56bbdd",
      "name": "SerpAPI",
      "type": "@n8n/n8n-nodes-langchain.toolSerpApi",
      "position": [
        588,
        240
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "36062623-556e-4a0f-8cab-f7de150b2c1d",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -740,
        -220
      ],
      "parameters": {
        "content": "Emelia 触发器"
      },
      "typeVersion": 1
    },
    {
      "id": "2db7a969-2c06-4078-8ca5-62374fc6d383",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -360,
        -220
      ],
      "parameters": {
        "content": "Emelia 触发器"
      },
      "typeVersion": 1
    },
    {
      "id": "352bdb73-3b34-4ada-9c1f-0b60d79cf6d3",
      "name": "便签2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        20,
        -220
      ],
      "parameters": {
        "content": "Emelia 触发器"
      },
      "typeVersion": 1
    },
    {
      "id": "9a08b587-c8dd-4246-a1ab-99828a01af3a",
      "name": "便签3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        740,
        -220
      ],
      "parameters": {
        "content": "Emelia 触发器"
      },
      "typeVersion": 1
    },
    {
      "id": "cfc704e2-8d48-4361-b0e3-7899c8ba1695",
      "name": "便签说明4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1180,
        -220
      ],
      "parameters": {
        "content": "Emelia 触发器"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "24291116-031f-4dd9-bc4e-89ff30adab75",
  "connections": {
    "SerpAPI": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Webhook": {
      "main": [
        [
          {
            "node": "Fields_Mappings",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Markdown",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Markdown": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Basic LLM Chain": {
      "main": [
        [
          {
            "node": "Question and Answer Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fields_Mappings": {
      "main": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Groq Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Groq Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "Question and Answer Chain",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "Answer questions with a vector store",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Window Buffer Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Pinecone Vector Store": {
      "ai_tool": [
        []
      ],
      "ai_vectorStore": [
        [
          {
            "node": "Vector Store Retriever",
            "type": "ai_vectorStore",
            "index": 0
          },
          {
            "node": "Answer questions with a vector store",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Store Retriever": {
      "ai_retriever": [
        [
          {
            "node": "Question and Answer Chain",
            "type": "ai_retriever",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings Google Gemini": {
      "ai_embedding": [
        [
          {
            "node": "Pinecone Vector Store",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Question and Answer Chain": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Answer questions with a vector store": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "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 - 人力资源, 人工智能

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20
分类2
节点类型15
难度说明

适合高级用户,包含 16+ 个节点的复杂工作流

作者
Udit Rawat

Udit Rawat

@ailistmaster

Hi, I’m Udit, an Acquia-certified developer with a strong background in web development and creating enterprise solutions. Recently, I’ve transitioned into AI and ML, I hold DIAT Professional AI Certification. I specialize in building AI-driven automation to streamline workflows, improve efficiency, and solve complex problems. With expertise in AI/ML tools and years of experience in Acquia and Drupal, I’m passionate about leveraging tech to drive innovation and create smarter solutions.

外部链接
在 n8n.io 查看

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