简历工具

Name: 简历工具
Rating: 4.5 (10 reviews)
Author: Lakindu Siriwardana

Intermédiaire

Ceci est unHR, AI Summarizationworkflow d'automatisation du domainecontenant 15 nœuds.Utilise principalement des nœuds comme Code, Merge, Webhook, Aggregate, GoogleDrive. 基于Llama3.1大语言模型deAI简历筛选，intégrationGoogle云端硬盘et表格

Prérequis

•Point de terminaison HTTP Webhook (généré automatiquement par n8n)
•Informations d'identification Google Drive API
•Informations d'identification Google Sheets API

Nœuds utilisés (15)

OutputParserAutofixing

OutputParserStructured

Catégorie

Ressources Humaines

Résumé IA

Aperçu du workflow

Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement

Boucle sur les éléments

Fusion

Agrégation

Ollama Model

Analyseur de sortie auto-corrigé

Analyseur de sortie structurée

Code

Télécharger-fichier

Critères d'entrée

Extraire du PDF

Feuille de sortie

Webhook

Répondre à Webhook

Recherche de dossier

Chaîne LLM de base

React Flow

Exporter le workflow

Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow

{
  "id": "7wkmOQEEUAJIwFEP",
  "meta": {
    "instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a",
    "templateCredsSetupCompleted": true
  },
  "name": "cv-tool",
  "tags": [],
  "nodes": [
    {
      "id": "0cae9383-b4da-43ec-9962-afc97d56ddad",
      "name": "Boucle sur les éléments",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        -280,
        160
      ],
      "parameters": {
        "options": {}
      },
      "executeOnce": false,
      "typeVersion": 3
    },
    {
      "id": "c027ca47-5415-4f7a-9028-a0637acc195f",
      "name": "Fusion",
      "type": "n8n-nodes-base.merge",
      "position": [
        380,
        360
      ],
      "parameters": {
        "mode": "chooseBranch"
      },
      "typeVersion": 3
    },
    {
      "id": "2bd255ee-e3d8-46a6-9112-14b348852eae",
      "name": "Agrégation",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        600,
        360
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData"
      },
      "typeVersion": 1
    },
    {
      "id": "ae51c305-87e4-4404-816e-4f2b30b80c6d",
      "name": "Ollama Model",
      "type": "@n8n/n8n-nodes-langchain.lmOllama",
      "position": [
        920,
        840
      ],
      "parameters": {
        "model": "llama3.1:latest",
        "options": {
          "temperature": 0.1
        }
      },
      "credentials": {
        "ollamaApi": {
          "id": "7CIt42W14b1MCgxQ",
          "name": "Ollama account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "42fd32cf-1787-45c5-a2df-08955534ae64",
      "name": "Analyseur de sortie auto-corrigé",
      "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
      "position": [
        1020,
        660
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "097e8558-2a30-4c1e-a7bd-4620bc9d22a6",
      "name": "Analyseur de sortie structurée",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1060,
        1100
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n  \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n  \"title\": \"Evaluation Form\",\n  \"type\": \"object\",\n  \"properties\": {\n    \"candidate_file_name\": {\"$ref\": \"#/definitions/candidateFileName\"},\n    \"candidate_name\": {\"$ref\": \"#/definitions/candidateName\"},\n    \"questions\": {\"$ref\": \"#/definitions/questions\"},\n    \"overall_points\": {\"$ref\": \"#/definitions/overallPoints\"}\n  },\n  \"required\": [\"candidate_file_name\", \"candidate_name\", \"questions\", \"overall_points\"],\n  \"definitions\": {\n    \"candidateFileName\": {\n      \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n      \"title\": \"Candidate File Name\",\n      \"type\": \"string\"\n    },\n    \"candidateName\": {\n      \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n      \"title\": \"Candidate Name\",\n      \"type\": \"string\"\n    },\n    \"questions\": {\n      \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n      \"title\": \"Questions\",\n      \"type\": \"array\",\n      \"items\": {\n        \"$ref\": \"#/definitions/question\"\n      }\n    },\n    \"question\": {\n      \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n      \"title\": \"Question\",\n      \"type\": \"object\",\n      \"properties\": {\n        \"question\": {\"$ref\": \"#/definitions/questionText\"},\n        \"answer\": {\"$ref\": \"#/definitions/candidateAnswer\"}\n      },\n      \"required\": [\"question\", \"answer\"]\n    },\n    \"questionText\": {\n      \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n      \"title\": \"Question Text\",\n      \"type\": \"string\"\n    },\n    \"candidateAnswer\": {\n      \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n      \"title\": \"Candidate Answer\",\n      \"type\": \"string\"\n    },\n    \"overallPoints\": {\n      \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n      \"title\": \"Overall Points\",\n      \"type\": \"string\"\n    }\n  }\n}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "79957386-3e4b-4650-9490-8a29f948d5f0",
      "name": "Code",
      "type": "n8n-nodes-base.code",
      "position": [
        1260,
        360
      ],
      "parameters": {
        "jsCode": "// Extract input data\nconst items = $input.all();\nlet results = [];\nlet allQuestions = new Set();\n\n// Collect all possible question fields dynamically\nitems.forEach(item => {\n    let output = item.json.output;\n    let questions = output.questions;\n    \n    Object.keys(questions).forEach(q => allQuestions.add(q));\n});\n\n// Convert to array format\nitems.forEach(item => {\n    let output = item.json.output;\n    let row = {\n        \"Candidate File Name\": output.candidate_file_name,\n        \"Candidate Name\": output.candidate_name\n    };\n\n    // Add all dynamically available question scores\n    allQuestions.forEach(question => {\n        row[question] = output.questions[question] || \"\";\n    });\n\n    // Add overall points\n    row[\"Overall Points\"] = output.overall_points;\n    results.push(row);\n});\n\nreturn results.map(row => ({ json: row }));"
      },
      "executeOnce": false,
      "typeVersion": 2
    },
    {
      "id": "b0c56e05-f929-496d-9482-ff2f61a6e544",
      "name": "Télécharger-fichier",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        -100,
        380
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.id }}"
        },
        "options": {
          "googleFileConversion": {
            "conversion": {
              "docsToFormat": "application/pdf",
              "slidesToFormat": "application/pdf",
              "drawingsToFormat": "application/pdf"
            }
          }
        },
        "operation": "download"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "5dc07e0a-900f-407e-be7e-da4db4168e30",
      "name": "Critères d'entrée",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        20,
        180
      ],
      "parameters": {
        "options": {},
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 714429904,
          "cachedResultUrl": "",
          "cachedResultName": "Search_Criteria_t2"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1VoJbCMXbgQm8lO37h1kAp-wFo_7rC_xthL7H4PXCNxg",
          "cachedResultUrl": "",
          "cachedResultName": "Criteria-sheet"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "",
          "name": "Google Sheets account"
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "e917b4e5-ca96-4d08-b43c-bf832710b1f4",
      "name": "Extraire du PDF",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        140,
        380
      ],
      "parameters": {
        "options": {},
        "operation": "pdf"
      },
      "typeVersion": 1
    },
    {
      "id": "fbee4bec-65af-4017-98b7-9074c4fd5770",
      "name": "Feuille de sortie",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        1500,
        360
      ],
      "parameters": {
        "columns": {
          "value": {},
          "schema": [
            {
              "id": "Candidate File Name",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Candidate File Name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Candidate Name",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Candidate Name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Business Analysis",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Business Analysis",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Project Management (PMO)",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Project Management (PMO)",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Banking",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Banking",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Communication Skills",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Communication Skills",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Overall Points",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Overall Points",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "autoMapInputData",
          "matchingColumns": []
        },
        "options": {},
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 1534129230,
          "cachedResultUrl": "",
          "cachedResultName": "Sheet2"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1TvYZwuCeTVImsXdd3cNh6zYf7neJbHvCkqLjNzsCk5w",
          "cachedResultUrl": "",
          "cachedResultName": "Output-sheet"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "",
          "name": "Google Sheets account"
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "1d77e98d-20fa-4301-93ea-175881cac1dc",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -880,
        160
      ],
      "webhookId": "6751c9a2-4bf9-416e-8e98-905498867431",
      "parameters": {
        "path": "6751c9a2-4bf9-416e-8e98-905498867431",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "d7644e7c-2abb-4bb2-ac81-7595cc918a9b",
      "name": "Répondre à Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        20,
        -60
      ],
      "parameters": {
        "options": {},
        "respondWith": "json",
        "responseBody": "{\n  \"Status\": \"Workflow Completed!\"\n}"
      },
      "typeVersion": 1.1,
      "alwaysOutputData": false
    },
    {
      "id": "14869643-9588-42de-a238-195f47875d78",
      "name": "Recherche de dossier",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        -580,
        160
      ],
      "parameters": {
        "filter": {
          "folderId": {
            "__rl": true,
            "mode": "list",
            "value": "1z0DTQL4nfB7lQFETQw8-fnxg1YaOpgoL",
            "cachedResultUrl": "",
            "cachedResultName": "test"
          }
        },
        "options": {},
        "resource": "fileFolder"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "8f920f78-86d3-45ed-b59c-4a74e6fb108b",
      "name": "Chaîne LLM de base",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        860,
        360
      ],
      "parameters": {
        "text": "=%Candidate_Profile%: \n{{ $('Extract from PDF').first().json.text}}\n\nAnalyze the %Candidate_Profile% against the %Questions%:{{ $json.data.map(item => item.Matching_Criteria + \" - Output Type:\" + item.Output_Type) + \"\\n\" }}. \n\nUse this question format as input to the AI-Model :  How do you rate your experiance in {{ $json.data.map(item => item.Matching_Criteria + \"Output Type:\" + item.Output_Type) + \"\\n\" }}\n\nTake candidate_file_name as {{ $('Download-file').first().json.name }} and fetch the candidate_name from the %Candidate_Profile%\n\nFor each question output format should be : {{ $json.data[0].Output_Type}}\n\nAt the end please calculate overall point(Total Point = sum({{ $json.data[0].Output_Type}} for each criteria)).\n\n\nIf he or she didn't have any experiance under specific area please mark rating as 0.\n",
        "messages": {
          "messageValues": [
            {
              "message": "Output should be a one specific format for all outputs"
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.5
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "3a4961eb-24af-44a3-b727-9e11b39ee823",
  "connections": {
    "79957386-3e4b-4650-9490-8a29f948d5f0": {
      "main": [
        [
          {
            "node": "fbee4bec-65af-4017-98b7-9074c4fd5770",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "c027ca47-5415-4f7a-9028-a0637acc195f": {
      "main": [
        [
          {
            "node": "2bd255ee-e3d8-46a6-9112-14b348852eae",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "1d77e98d-20fa-4301-93ea-175881cac1dc": {
      "main": [
        [
          {
            "node": "14869643-9588-42de-a238-195f47875d78",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "2bd255ee-e3d8-46a6-9112-14b348852eae": {
      "main": [
        [
          {
            "node": "8f920f78-86d3-45ed-b59c-4a74e6fb108b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "ae51c305-87e4-4404-816e-4f2b30b80c6d": {
      "ai_languageModel": [
        [
          {
            "node": "8f920f78-86d3-45ed-b59c-4a74e6fb108b",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "42fd32cf-1787-45c5-a2df-08955534ae64",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "fbee4bec-65af-4017-98b7-9074c4fd5770": {
      "main": [
        [
          {
            "node": "0cae9383-b4da-43ec-9962-afc97d56ddad",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "b0c56e05-f929-496d-9482-ff2f61a6e544": {
      "main": [
        [
          {
            "node": "e917b4e5-ca96-4d08-b43c-bf832710b1f4",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "14869643-9588-42de-a238-195f47875d78": {
      "main": [
        [
          {
            "node": "0cae9383-b4da-43ec-9962-afc97d56ddad",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "5dc07e0a-900f-407e-be7e-da4db4168e30": {
      "main": [
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          {
            "node": "c027ca47-5415-4f7a-9028-a0637acc195f",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "8f920f78-86d3-45ed-b59c-4a74e6fb108b": {
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            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "0cae9383-b4da-43ec-9962-afc97d56ddad": {
      "main": [
        [
          {
            "node": "d7644e7c-2abb-4bb2-ac81-7595cc918a9b",
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        [
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    "e917b4e5-ca96-4d08-b43c-bf832710b1f4": {
      "main": [
        [
          {
            "node": "c027ca47-5415-4f7a-9028-a0637acc195f",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "097e8558-2a30-4c1e-a7bd-4620bc9d22a6": {
      "ai_outputParser": [
        [
          {
            "node": "42fd32cf-1787-45c5-a2df-08955534ae64",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
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    },
    "42fd32cf-1787-45c5-a2df-08955534ae64": {
      "ai_outputParser": [
        [
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            "node": "8f920f78-86d3-45ed-b59c-4a74e6fb108b",
            "type": "ai_outputParser",
            "index": 0
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      ]
    }
  }
}

Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Intermédiaire - Ressources Humaines, Résumé IA

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.