Asistente de Respuesta Automática de Correos con IA. Resumen y envío de correos

Avanzado

Este es unAIflujo de automatización del dominio deautomatización que contiene 26 nodos.Utiliza principalmente nodos como Markdown, EmailSend, GoogleDrive, HttpRequest, EmailReadImap, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Automatización de correo empresarial con IA: Resumen y respuesta de correos basado en RAG

Requisitos previos
  • Credenciales de API de Google Drive
  • Pueden requerirse credenciales de autenticación para la API de destino
  • Clave de API de OpenAI
  • Información de conexión del servidor Qdrant
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "id": "q8IFGLeOCGSfoWZu",
  "meta": {
    "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
    "templateCredsSetupCompleted": true
  },
  "name": "Email AI Auto-responder. Summerize and send email",
  "tags": [],
  "nodes": [
    {
      "id": "59885699-0f6c-4522-acff-9e28b2a07b82",
      "name": "Email Trigger (IMAP)",
      "type": "n8n-nodes-base.emailReadImap",
      "position": [
        -440,
        -20
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "imap": {
          "id": "k31W9oGddl9pMDy4",
          "name": "IMAP info@n3witalia.com"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "b268ab9d-b2e3-46e6-b7ae-70aff0b5484d",
      "name": "Markdown",
      "type": "n8n-nodes-base.markdown",
      "position": [
        -220,
        -20
      ],
      "parameters": {
        "html": "={{ $json.textHtml }}",
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "13c2d151-6f59-4e1f-a174-02d4d0bcaefd",
      "name": "DeepSeek R1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -20,
        160
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "deepseek/deepseek-r1:free",
          "cachedResultName": "deepseek/deepseek-r1:free"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "XJTqRiKFJpFs5MuX",
          "name": "OpenRouter account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "8149e40d-64e6-4fb9-aebc-2a2483961f07",
      "name": "Send Email",
      "type": "n8n-nodes-base.emailSend",
      "position": [
        500,
        340
      ],
      "parameters": {
        "html": "={{ $json.text }}",
        "options": {},
        "subject": "=Re: {{ $('Email Trigger (IMAP)').item.json.subject }}",
        "toEmail": "={{ $('Email Trigger (IMAP)').item.json.from }}",
        "fromEmail": "={{ $('Email Trigger (IMAP)').item.json.to }}"
      },
      "credentials": {
        "smtp": {
          "id": "hRjP3XbDiIQqvi7x",
          "name": "SMTP info@n3witalia.com"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "633f0ce9-04ff-4653-8bbc-7457ba0d18bd",
      "name": "Qdrant Vector Store",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        -320,
        600
      ],
      "parameters": {
        "mode": "retrieve-as-tool",
        "options": {},
        "toolName": "company_knowladge_base",
        "toolDescription": "Extracts information regarding the request made.",
        "qdrantCollection": {
          "__rl": true,
          "mode": "id",
          "value": "=COLLECTION"
        },
        "includeDocumentMetadata": false
      },
      "credentials": {
        "qdrantApi": {
          "id": "iyQ6MQiVaF3VMBmt",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "20daf5d3-dc9c-4fad-9f2f-98d86bc1660c",
      "name": "Embeddings OpenAI",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        -340,
        760
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "CDX6QM4gLYanh0P4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "67699bca-4096-4259-bbd4-51a879539aca",
      "name": "Email Classifier",
      "type": "@n8n/n8n-nodes-langchain.textClassifier",
      "position": [
        360,
        -20
      ],
      "parameters": {
        "options": {
          "fallback": "other",
          "multiClass": false,
          "enableAutoFixing": true,
          "systemPromptTemplate": "Please classify the text provided by the user into one of the following categories: {categories}, and use the provided formatting instructions below. Don't explain, and only output the json.\n"
        },
        "inputText": "=You must classify the following email::\n\n{{ $json.response.text }}",
        "categories": {
          "categories": [
            {
              "category": "Company info request",
              "description": "Company info request"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "9f7742e9-87d5-40b9-9129-0777d8a37933",
      "name": "Email Summarization Chain",
      "type": "@n8n/n8n-nodes-langchain.chainSummarization",
      "position": [
        0,
        -20
      ],
      "parameters": {
        "options": {
          "binaryDataKey": "={{ $json.data }}",
          "summarizationMethodAndPrompts": {
            "values": {
              "prompt": "=Write a concise summary of the following in max 100 words:\n\n\"{{ $json.data }}\"\n\nDo not enter the total number of words used.",
              "combineMapPrompt": "=Write a concise summary of the following in max 100 words:\n\n\"{{ $json.data }}\"\n"
            }
          }
        },
        "operationMode": "nodeInputBinary"
      },
      "typeVersion": 2
    },
    {
      "id": "e2d404c0-2aad-407d-b75e-5ef0c5105c0e",
      "name": "Write email",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -440,
        340
      ],
      "parameters": {
        "text": "=Write the text to reply to the following email:\n\n{{ $json.response.text }}",
        "options": {
          "systemMessage": "You are an expert at answering emails. You need to answer them professionally based on the information you have. This is a business email. Be concise and never exceed 100 words."
        },
        "promptType": "define"
      },
      "typeVersion": 1.7
    },
    {
      "id": "3786c2de-c5cb-4233-826e-7265f2bccbdb",
      "name": "Review email",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        40,
        340
      ],
      "parameters": {
        "text": "=Review at the following email:\n\n{{ $json.output }}",
        "messages": {
          "messageValues": [
            {
              "message": "=If you are an expert in reviewing emails before sending them. You need to review and structure them in such a way that you can send them. It must be in HTML format and you can insert (if you think it is appropriate) only HTML characters such as <br>, <b>, <i>, <p> where necessary.\n\nNon superare le 100 parole."
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.5
    },
    {
      "id": "baf60eba-5e7b-467f-b27e-1388a91622d0",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -500,
        -980
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "77e6160f-20a7-4a75-9fef-bc875b953a16",
      "name": "Create collection",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -200,
        -1120
      ],
      "parameters": {
        "url": "https://QDRANTURL/collections/COLLECTION",
        "method": "POST",
        "options": {},
        "jsonBody": "{\n  \"filter\": {}\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "qhny6r5ql9wwotpn",
          "name": "Qdrant API (Hetzner)"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "ab7764d1-531c-4281-8b89-015fb3f5e780",
      "name": "Refresh collection",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -200,
        -860
      ],
      "parameters": {
        "url": "https://QDRANTURL/collections/COLLECTION/points/delete",
        "method": "POST",
        "options": {},
        "jsonBody": "{\n  \"filter\": {}\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "qhny6r5ql9wwotpn",
          "name": "Qdrant API (Hetzner)"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "cd3eaa81-0f94-484b-b0c2-ecf0ca4541dc",
      "name": "Get folder",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        20,
        -860
      ],
      "parameters": {
        "filter": {
          "driveId": {
            "__rl": true,
            "mode": "list",
            "value": "My Drive",
            "cachedResultUrl": "https://drive.google.com/drive/my-drive",
            "cachedResultName": "My Drive"
          },
          "folderId": {
            "__rl": true,
            "mode": "id",
            "value": "=test-whatsapp"
          }
        },
        "options": {},
        "resource": "fileFolder"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "HEy5EuZkgPZVEa9w",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "b39ecd2d-4d5b-4885-86a9-2cfe9f6074ef",
      "name": "Download Files",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        240,
        -860
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.id }}"
        },
        "options": {
          "googleFileConversion": {
            "conversion": {
              "docsToFormat": "text/plain"
            }
          }
        },
        "operation": "download"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "HEy5EuZkgPZVEa9w",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "8171b8f2-998d-4d72-ac28-524daae4a2d7",
      "name": "Default Data Loader",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        620,
        -660
      ],
      "parameters": {
        "options": {},
        "dataType": "binary"
      },
      "typeVersion": 1
    },
    {
      "id": "ec6737ad-3fbe-4864-9df8-44f82d6f2c5c",
      "name": "Token Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
      "position": [
        600,
        -500
      ],
      "parameters": {
        "chunkSize": 300,
        "chunkOverlap": 30
      },
      "typeVersion": 1
    },
    {
      "id": "57b6a4f3-e935-4058-bfdf-309d606c0ca9",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        0,
        -1180
      ],
      "parameters": {
        "color": 6,
        "width": 880,
        "height": 220,
        "content": "# STEP 1\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION"
      },
      "typeVersion": 1
    },
    {
      "id": "21e2326a-138d-46f3-a849-a80aa7917da9",
      "name": "Qdrant Vector Store1",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        480,
        -860
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "id",
          "value": "=COLLECTION"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "iyQ6MQiVaF3VMBmt",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "0818fb6a-2adf-4725-90a4-11cdd7d14036",
      "name": "Embeddings OpenAI1",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        500,
        -620
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "CDX6QM4gLYanh0P4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "8949d938-2743-45d6-b2ad-ce4ac139e0a3",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -220,
        -920
      ],
      "parameters": {
        "color": 4,
        "width": 620,
        "height": 400,
        "content": "# STEP 2\n\n\n\n\n\n\n\n\n\n\n\n\n## Documents vectorization with Qdrant and Google Drive\nChange:\n- QDRANTURL\n- COLLECTION"
      },
      "typeVersion": 1
    },
    {
      "id": "36d384be-3e11-43b1-b8c3-f63df600a6a6",
      "name": "Do nothing",
      "type": "n8n-nodes-base.noOp",
      "position": [
        820,
        0
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "386c27cb-6e69-4d96-a8ab-8cfd43e6b171",
      "name": "OpenAI",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -520,
        580
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini",
          "cachedResultName": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "CDX6QM4gLYanh0P4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "0bd17bef-e205-464e-9b36-dcda75254e06",
      "name": "DeepSeek",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        40,
        540
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "deepseek/deepseek-r1:free",
          "cachedResultName": "deepseek/deepseek-r1:free"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "XJTqRiKFJpFs5MuX",
          "name": "OpenRouter account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "3e68a65f-af29-432f-8159-4a599e8a0866",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -540,
        -320
      ],
      "parameters": {
        "width": 1620,
        "height": 240,
        "content": "# STEP 3 - MAIN FLOW\n\n- Transform the email into Markdown format for optimal reading by the LLM model\n- Email Summarization through DeepSeek R1 (any model can be used)\n- I classify the email in such a way as to continue only with emails regarding general information about the company. In this way I can respond independently through the information obtained from the vector database\n- I create a chain where I entrust the review of the email to a high-performance model designed for this purpose\n- I send the response email\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "3b6ae6aa-75a8-4038-bbc2-248ab533b3ab",
      "name": "OpenAI 4-o-mini",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        360,
        160
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini",
          "cachedResultName": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "CDX6QM4gLYanh0P4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    }
  ],
  "active": false,
  "pinData": {
    "Email Trigger (IMAP)": [
      {
        "json": {
          "to": "info@n3witalia.com",
          "date": "Wed, 5 Feb 2025 13:38:51 +0100",
          "from": "n3w Italia <info@n3w.it>",
          "subject": "Richiesta di informazioni aziendali",
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            "received-spf": "none (dmarc-service-75b56dd9b6-qz8tf: n3w.it does not provide an SPF record) client-ip=209.85.161.50; envelope-from=info@n3w.it; helo=mail-oo1-f50.google.com;",
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Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Avanzado - Inteligencia Artificial

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos26
Categoría1
Tipos de nodos17
Descripción de la dificultad

Adecuado para usuarios avanzados, flujos de trabajo complejos con 16+ nodos

Autor

Full-stack Web Developer based in Italy specialising in Marketing & AI-powered automations. For business enquiries, send me an email at info@n3w.it or add me on Linkedin.com/in/davideboizza

Enlaces externos
Ver en n8n.io

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Categorías

Categorías: 34