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使用PDF向量AI解析评分简历

中级

这是一个HR, AI Summarization, Multimodal AI领域的自动化工作流,包含 11 个节点。主要使用 Set, Code, GoogleDrive, ManualTrigger, PdfVector 等节点。 使用PDF向量AI解析评分简历

前置要求
  • Google Drive API 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": "placeholder"
  },
  "nodes": [
    {
      "id": "overview-note",
      "name": "系统概览",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        50,
        50
      ],
      "parameters": {
        "color": 5,
        "width": 350,
        "height": 180,
        "content": "## 👥 AI 简历处理系统"
      },
      "typeVersion": 1
    },
    {
      "id": "setup-note",
      "name": "需要设置",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        50,
        250
      ],
      "parameters": {
        "color": 4,
        "width": 280,
        "height": 150,
        "content": "## ⚙️ 首先配置"
      },
      "typeVersion": 1
    },
    {
      "id": "input-note",
      "name": "输入格式",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        450,
        450
      ],
      "parameters": {
        "width": 250,
        "height": 150,
        "content": "## 📄 简历输入"
      },
      "typeVersion": 1
    },
    {
      "id": "extract-note",
      "name": "数据提取",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        750,
        450
      ],
      "parameters": {
        "width": 260,
        "height": 180,
        "content": "## 🤖 AI 提取"
      },
      "typeVersion": 1
    },
    {
      "id": "scoring-note",
      "name": "候选人评分",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1050,
        450
      ],
      "parameters": {
        "color": 6,
        "width": 260,
        "height": 180,
        "content": "## 📊 评分引擎"
      },
      "typeVersion": 1
    },
    {
      "id": "manual-trigger",
      "name": "手动触发器",
      "type": "n8n-nodes-base.manualTrigger",
      "notes": "Start resume parsing",
      "position": [
        250,
        300
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "google-drive",
      "name": "从 Google Drive 获取简历",
      "type": "n8n-nodes-base.googleDrive",
      "notes": "Download resume from Google Drive",
      "position": [
        450,
        300
      ],
      "parameters": {
        "fileId": "={{ $json.fileId }}",
        "operation": "download"
      },
      "typeVersion": 3
    },
    {
      "id": "pdfvector-parse",
      "name": "PDF Vector - 解析简历",
      "type": "n8n-nodes-pdfvector.pdfVector",
      "notes": "Extract candidate information",
      "position": [
        650,
        300
      ],
      "parameters": {
        "prompt": "Extract all relevant information from this resume document or image including personal details, work experience with dates and achievements, education, all technical and soft skills, certifications, and languages. Handle both digital documents and scanned/photographed resumes. Pay special attention to dates for calculating experience.",
        "schema": "{\"type\":\"object\",\"properties\":{\"personalInfo\":{\"type\":\"object\",\"properties\":{\"name\":{\"type\":\"string\"},\"email\":{\"type\":\"string\"},\"phone\":{\"type\":\"string\"},\"location\":{\"type\":\"string\"},\"linkedIn\":{\"type\":\"string\"},\"summary\":{\"type\":\"string\"}}},\"workExperience\":{\"type\":\"array\",\"items\":{\"type\":\"object\",\"properties\":{\"company\":{\"type\":\"string\"},\"position\":{\"type\":\"string\"},\"startDate\":{\"type\":\"string\"},\"endDate\":{\"type\":\"string\"},\"description\":{\"type\":\"string\"},\"achievements\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}},\"technologies\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}}}}},\"education\":{\"type\":\"array\",\"items\":{\"type\":\"object\",\"properties\":{\"institution\":{\"type\":\"string\"},\"degree\":{\"type\":\"string\"},\"field\":{\"type\":\"string\"},\"graduationDate\":{\"type\":\"string\"},\"gpa\":{\"type\":\"string\"}}}},\"skills\":{\"type\":\"object\",\"properties\":{\"technical\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}},\"soft\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}},\"languages\":{\"type\":\"array\",\"items\":{\"type\":\"object\",\"properties\":{\"language\":{\"type\":\"string\"},\"proficiency\":{\"type\":\"string\"}}}}}},\"certifications\":{\"type\":\"array\",\"items\":{\"type\":\"object\",\"properties\":{\"name\":{\"type\":\"string\"},\"issuer\":{\"type\":\"string\"},\"date\":{\"type\":\"string\"},\"expiryDate\":{\"type\":\"string\"}}}}},\"required\":[\"personalInfo\"],\"additionalProperties\":false}",
        "resource": "document",
        "inputType": "file",
        "operation": "extract",
        "binaryPropertyName": "data"
      },
      "typeVersion": 1
    },
    {
      "id": "calculate-metrics",
      "name": "计算经验指标",
      "type": "n8n-nodes-base.code",
      "notes": "Calculate experience and skill scores",
      "position": [
        850,
        300
      ],
      "parameters": {
        "jsCode": "// Calculate experience and skill metrics\nconst resume = $input.first().json.data;\nconst currentDate = new Date();\n\n// Calculate total years of experience\nlet totalExperience = 0;\nlet skillExperience = {};\n\nif (resume.workExperience) {\n  resume.workExperience.forEach(job => {\n    const startDate = new Date(job.startDate);\n    const endDate = job.endDate === 'Present' ? currentDate : new Date(job.endDate);\n    const years = (endDate - startDate) / (1000 * 60 * 60 * 24 * 365);\n    totalExperience += years;\n    \n    // Track experience per technology\n    if (job.technologies) {\n      job.technologies.forEach(tech => {\n        skillExperience[tech] = (skillExperience[tech] || 0) + years;\n      });\n    }\n  });\n}\n\n// Create skill proficiency scores\nconst skillScores = {};\nif (resume.skills?.technical) {\n  resume.skills.technical.forEach(skill => {\n    const experience = skillExperience[skill] || 0;\n    let score = 0;\n    if (experience >= 5) score = 5;\n    else if (experience >= 3) score = 4;\n    else if (experience >= 1) score = 3;\n    else if (experience > 0) score = 2;\n    else score = 1;\n    \n    skillScores[skill] = {\n      yearsExperience: Math.round(experience * 10) / 10,\n      proficiencyScore: score\n    };\n  });\n}\n\nreturn [{\n  json: {\n    candidateProfile: resume,\n    metrics: {\n      totalYearsExperience: Math.round(totalExperience * 10) / 10,\n      skillScores: skillScores,\n      educationLevel: resume.education?.[0]?.degree || 'Not specified',\n      certificationCount: resume.certifications?.length || 0,\n      languageCount: resume.skills?.languages?.length || 0\n    },\n    processedAt: new Date().toISOString()\n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "pdfvector-assess",
      "name": "PDF Vector - AI 评估",
      "type": "n8n-nodes-pdfvector.pdfVector",
      "notes": "Get AI assessment",
      "position": [
        1050,
        300
      ],
      "parameters": {
        "prompt": "Based on this resume document or image, provide a brief assessment of the candidate's strengths, potential roles they would fit, and any notable achievements. Also suggest their seniority level (Junior/Mid/Senior/Lead).",
        "resource": "document",
        "inputType": "file",
        "operation": "ask",
        "binaryPropertyName": "data"
      },
      "typeVersion": 1
    },
    {
      "id": "create-profile",
      "name": "创建候选人档案",
      "type": "n8n-nodes-base.set",
      "notes": "Combine all data",
      "position": [
        1250,
        300
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "assignment1",
              "name": "profile",
              "type": "object",
              "value": "={{ $node['Calculate Experience Metrics'].json.candidateProfile }}"
            },
            {
              "id": "assignment2",
              "name": "metrics",
              "type": "object",
              "value": "={{ $node['Calculate Experience Metrics'].json.metrics }}"
            },
            {
              "id": "assignment3",
              "name": "aiAssessment",
              "type": "string",
              "value": "={{ $json.answer }}"
            },
            {
              "id": "assignment4",
              "name": "atsReady",
              "type": "boolean",
              "value": "true"
            }
          ]
        }
      },
      "typeVersion": 3
    }
  ],
  "connections": {
    "Manual Trigger": {
      "main": [
        [
          {
            "node": "Get Resume from Google Drive",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "PDF Vector - Parse Resume": {
      "main": [
        [
          {
            "node": "Calculate Experience Metrics",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "PDF Vector - AI Assessment": {
      "main": [
        [
          {
            "node": "Create Candidate Profile",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Calculate Experience Metrics": {
      "main": [
        [
          {
            "node": "PDF Vector - AI Assessment",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Resume from Google Drive": {
      "main": [
        [
          {
            "node": "PDF Vector - Parse Resume",
            "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?

中级 - 人力资源, AI 摘要总结, 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。

工作流信息
难度等级
中级
节点数量11
分类3
节点类型6
难度说明

适合有一定经验的用户,包含 6-15 个节点的中等复杂度工作流

作者
PDF Vector

PDF Vector

@pdfvector

A fully featured PDF APIs for developers - Parse any PDF or Word document, extract structured data, and access millions of academic papers - all through simple APIs.

外部链接
在 n8n.io 查看

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