OpenAI E-Mail-Klassifizierung - Anwendung

Name: OpenAI E-Mail-Klassifizierung - Anwendung
Rating: 4.5 (10 reviews)
Author: Sleak

Fortgeschritten

Dies ist ein HR, AI-Bereich Automatisierungsworkflow mit 10 Nodes. Hauptsächlich werden EmailReadImap, ExtractFromFile, LmChatOpenAi, TextClassifier, InformationExtractor und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. E-Mails mit GPT-4o klassifizieren und strukturierte Daten aus Bewerbungsanfragen extrahieren

Voraussetzungen

•OpenAI API Key

Verwendete Nodes (10)

Kategorie

Personalwesen

Künstliche Intelligenz

Workflow-Vorschau

Visualisierung der Node-Verbindungen, mit Zoom und Pan

E-Mail-Trigger

E-Mail klassifizieren

Variablen extrahieren - E-Mail & Anhang

Daten aus Anhang extrahieren

OpenAI-Chat-Modell 2

OpenAI-Chat-Modell

Workflow 2

Workflow 3

Workflow 4

React Flow

Workflow exportieren

Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n

{
  "id": "39KuujB1fbOvx8Al",
  "meta": {
    "instanceId": "0a5638e14e0c728ef975d18d109cfb41edae575e3d911724f4f1eccde06a729f"
  },
  "name": "OpenAI e-mail classification - application",
  "tags": [],
  "nodes": [
    {
      "id": "6156844f-d1ba-413d-9ab2-02148bef5bf0",
      "name": "E-Mail-Trigger",
      "type": "n8n-nodes-base.emailReadImap",
      "position": [
        -440,
        120
      ],
      "parameters": {
        "format": "resolved",
        "options": {},
        "postProcessAction": "nothing",
        "dataPropertyAttachmentsPrefixName": "attachment"
      },
      "credentials": {
        "imap": {
          "id": "il5dS1iQxJvOMWbE",
          "name": "IMAP account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "1aedaa56-d988-469b-86b9-61d50e707950",
      "name": "Haftnotiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        0,
        0
      ],
      "parameters": {
        "height": 200,
        "content": "### Change or add any category you want\nEach category can be assigned it's own specific workflow"
      },
      "typeVersion": 1
    },
    {
      "id": "d41ba844-2b99-42bb-80df-cff1b97dcbb9",
      "name": "E-Mail klassifizieren",
      "type": "@n8n/n8n-nodes-langchain.textClassifier",
      "position": [
        0,
        120
      ],
      "parameters": {
        "options": {},
        "inputText": "={{ $('Email trigger').first().json.text }}\n\nattachment:\n{{ $('Extract data from attachment').first().json.text }}\n",
        "categories": {
          "categories": [
            {
              "category": "job_application",
              "description": "for job applications"
            },
            {
              "category": "inbound_lead",
              "description": "for sales inquiries or requests for more information about our products/services"
            },
            {
              "category": "invoice",
              "description": "for invoices"
            },
            {
              "category": "other",
              "description": "for all other sorts of emails"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "b63a864f-f968-4e7e-9da4-d704f3ffa022",
      "name": "Variablen extrahieren - E-Mail & Anhang",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        440,
        20
      ],
      "parameters": {
        "text": "={{ $('Email trigger').first().json.text }}\n\nResume:\n{{ $('Extract data from attachment').first().json.text }}\n",
        "options": {},
        "attributes": {
          "attributes": [
            {
              "name": "first_name",
              "description": "first name of the applicant"
            },
            {
              "name": "last_name",
              "description": "last name of the applicant"
            },
            {
              "name": "age",
              "description": "age of the applicant"
            },
            {
              "name": "residence",
              "description": "residence of the applicant"
            },
            {
              "name": "study",
              "description": "relevant completed study of the applicant"
            },
            {
              "name": "work_experience",
              "description": "relevant work experience of the applicant"
            },
            {
              "name": "personal_character",
              "description": "personal characteristics of the applicant"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "398b9240-0d9c-416e-af3b-31ba9e1ac9b2",
      "name": "Daten aus Anhang extrahieren",
      "type": "n8n-nodes-base.extractFromFile",
      "onError": "continueRegularOutput",
      "position": [
        -220,
        120
      ],
      "parameters": {
        "options": {},
        "operation": "pdf",
        "binaryPropertyName": "attachment0"
      },
      "typeVersion": 1,
      "alwaysOutputData": false
    },
    {
      "id": "9f949aac-1681-4f04-983e-8bd5c949987a",
      "name": "OpenAI-Chat-Modell 2",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        660,
        200
      ],
      "parameters": {
        "model": "gpt-4o",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "by5xbXU1Yz36JahE",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "c7a61afe-d68d-407e-8653-46cb123877e9",
      "name": "OpenAI-Chat-Modell",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        100,
        320
      ],
      "parameters": {
        "model": "gpt-4o",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "by5xbXU1Yz36JahE",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "5a22e81b-8b60-443e-985b-47d493724389",
      "name": "Workflow 2",
      "type": "n8n-nodes-base.noOp",
      "position": [
        440,
        180
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "808e4f35-604e-4354-ab8b-3ba68940016b",
      "name": "Workflow 3",
      "type": "n8n-nodes-base.noOp",
      "position": [
        600,
        360
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "d793675d-c68d-4f73-a99d-6451be5bea30",
      "name": "Workflow 4",
      "type": "n8n-nodes-base.noOp",
      "position": [
        440,
        360
      ],
      "parameters": {},
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "errorWorkflow": "rkMQmtrfcSF3XpMF",
    "executionOrder": "v1"
  },
  "versionId": "28448ab7-6d45-41df-9de3-aad0e187edc5",
  "connections": {
    "6156844f-d1ba-413d-9ab2-02148bef5bf0": {
      "main": [
        [
          {
            "node": "398b9240-0d9c-416e-af3b-31ba9e1ac9b2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "d41ba844-2b99-42bb-80df-cff1b97dcbb9": {
      "main": [
        [
          {
            "node": "b63a864f-f968-4e7e-9da4-d704f3ffa022",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "5a22e81b-8b60-443e-985b-47d493724389",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "808e4f35-604e-4354-ab8b-3ba68940016b",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "d793675d-c68d-4f73-a99d-6451be5bea30",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "d41ba844-2b99-42bb-80df-cff1b97dcbb9",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model 2": {
      "ai_languageModel": [
        [
          {
            "node": "b63a864f-f968-4e7e-9da4-d704f3ffa022",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "398b9240-0d9c-416e-af3b-31ba9e1ac9b2": {
      "main": [
        [
          {
            "node": "d41ba844-2b99-42bb-80df-cff1b97dcbb9",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "b63a864f-f968-4e7e-9da4-d704f3ffa022": {
      "main": [
        []
      ]
    }
  }
}

Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Fortgeschritten - Personalwesen, Künstliche Intelligenz

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.