8
n8n Españolamn8n.com

Motor de recomendación de libros impulsado por IA

Avanzado

Este es unSupport Chatbot, Multimodal AIflujo de automatización del dominio deautomatización que contiene 21 nodos.Utiliza principalmente nodos como If, Set, Code, Wait, EmailSend. Sistema de recomendación de libros basado en correos, usando el modelo de lenguaje grande Ollama y la API de OpenLibrary

Requisitos previos
  • •Pueden requerirse credenciales de autenticación para la API de destino

Nodos utilizados (21)

If
Set
Code
Wait
EmailSend
StickyNote
HttpRequest
EmailReadImap
Agent
LmChatOllama

Categoría

Chatbot de soporte
IA Multimodal
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
React Flow
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "id": "QRbFHzWOiN6ee7D9",
  "meta": {
    "instanceId": "dd69efaf8212c74ad206700d104739d3329588a6f3f8381a46a481f34c9cc281",
    "templateCredsSetupCompleted": true
  },
  "name": "AI-Driven Book Recommendation Engine",
  "tags": [],
  "nodes": [
    {
      "id": "9840af8c-b582-4659-ae3b-869500193074",
      "name": "Ollama Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOllama",
      "position": [
        -132,
        280
      ],
      "parameters": {
        "model": "llama3.2-16000:latest",
        "options": {}
      },
      "credentials": {
        "ollamaApi": {
          "id": "7td3WzXCW2wNhraP",
          "name": "Ollama - test"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "61b127d3-bb32-4eee-a239-c259430e9139",
      "name": "Email Trigger – Book Request",
      "type": "n8n-nodes-base.emailReadImap",
      "position": [
        -440,
        60
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "imap": {
          "id": "zTEGYssr7MSVeCs3",
          "name": "IMAP-test"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "cc2e4acc-e8dc-4789-9142-1bc08977add5",
      "name": "Analyze Email with Ollama",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -220,
        60
      ],
      "parameters": {
        "text": "={{ $json.textPlain }}",
        "options": {
          "systemMessage": "=You are a helper that identifies and lists only the types of books mentioned in the message.\n\nWhich types of books are being asked for in this message?\n\nReply with the types in lowercase, one on each line. Don’t include anything else — no headers, labels, or symbols.\n\nInput:\n{{ $json.textPlain }}"
        },
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "37386ba5-319e-40da-bf42-c8d2fbb0a48a",
      "name": "Create Book Search Query",
      "type": "n8n-nodes-base.set",
      "position": [
        156,
        60
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "subject-name",
              "value": "={{ $json.output }}"
            }
          ]
        },
        "options": {},
        "keepOnlySet": true
      },
      "typeVersion": 1
    },
    {
      "id": "0c9dc4d4-c775-4ae6-bd5c-dddb0ca175ab",
      "name": "Call Book Search API",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        376,
        60
      ],
      "parameters": {
        "url": "=https://openlibrary.org/subjects/{{ $json.subject-name}}",
        "options": {},
        "queryParametersUi": {
          "parameter": [
            {
              "name": "limit",
              "value": "0"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "39dc690f-f68b-4f5d-87e0-44eb12cbb5f4",
      "name": "Check API Response",
      "type": "n8n-nodes-base.if",
      "position": [
        596,
        60
      ],
      "parameters": {
        "conditions": {
          "number": [
            {
              "value1": "={{$node[\"Call Book Search API\"].json[\"work_count\"]}}",
              "operation": "larger"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "727a94bd-9c95-44b6-85f7-86ee36fcda7f",
      "name": "Handle No Book Found",
      "type": "n8n-nodes-base.emailSend",
      "position": [
        816,
        160
      ],
      "parameters": {
        "html": "=<p>We're sorry, but no books were found for the subject <em>{{$node[\"Check API Response\"].json[\"name\"]}}</em>. </p>\n\n<p>Please try a different subject or update your n8n workflow accordingly.</p>\n\n<p>You can explore a list of available subjects at <a href=\"https://openlibrary.org/subjects\" target=\"_blank\">Open Library Subjects</a>.</p>\n",
        "options": {},
        "subject": "=Book not found in {{$node[\"Check API Response\"].json[\"name\"]}}",
        "toEmail": "john.doe@example.com",
        "fromEmail": "john.doe@example.com"
      },
      "credentials": {
        "smtp": {
          "id": "G1kyF8cSWTZ4vouN",
          "name": "SMTP -test"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "d164e6f0-b684-4467-a4e8-0aae75878663",
      "name": "Check Book Name",
      "type": "n8n-nodes-base.code",
      "position": [
        816,
        -40
      ],
      "parameters": {
        "jsCode": "var retrieve_book = 0;\nvar book_count = items[0].json.work_count;\n\nretrieve_book = Math.floor(Math.random() * book_count) + 1\n\nitems[0].json.retrieve_book = retrieve_book;\nreturn items;"
      },
      "typeVersion": 2
    },
    {
      "id": "efa8a98b-cd03-41ac-93f0-c1f856cff17f",
      "name": "Extract Book Summary",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1036,
        -40
      ],
      "parameters": {
        "url": "=http://openlibrary.org/subjects/{{$json[\"name\"]}}.json",
        "options": {},
        "queryParametersUi": {
          "parameter": [
            {
              "name": "limit",
              "value": "1"
            },
            {
              "name": "offset",
              "value": "={{$json[\"retrieve_book\"]}}"
            },
            {
              "name": "detail",
              "value": "true"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "96c40040-623c-45df-ae94-b2813ffd5668",
      "name": "Wait for Summary Response",
      "type": "n8n-nodes-base.wait",
      "position": [
        1256,
        -40
      ],
      "webhookId": "4880c8b5-9639-4e41-9ef9-3eb5520f5fab",
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "786470f7-9056-46c3-83d0-48bbf98133a5",
      "name": "Retrieve Book Details",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1476,
        -40
      ],
      "parameters": {
        "url": "=http://openlibrary.org.{{$node[\"Extract Book Summary\"].json[\"works\"][0][\"key\"]}}.json",
        "options": {},
        "queryParametersUi": {
          "parameter": [
            {
              "name": "limit",
              "value": "1"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "641c0ba1-ccad-4462-9499-b4a28dfd0975",
      "name": "Format Book Data",
      "type": "n8n-nodes-base.set",
      "position": [
        1696,
        -40
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "authors",
              "value": "={{$node[\"Extract Book Summary\"].json[\"works\"][0][\"authors\"]}}"
            },
            {
              "name": "title",
              "value": "={{$node[\"Extract Book Summary\"].json[\"works\"][0][\"title\"]}}"
            },
            {
              "name": "description",
              "value": "={{$node[\"Retrieve Book Details\"].json[\"description\"][\"value\"]}}"
            },
            {
              "name": "URL",
              "value": "=https://openlibrary.org{{$node[\"Extract Book Summary\"].json[\"works\"][0][\"key\"]}}"
            }
          ]
        },
        "options": {},
        "keepOnlySet": true
      },
      "typeVersion": 1
    },
    {
      "id": "79d33736-4931-4f7e-8ac0-07980cc8fcb9",
      "name": "Enhance Data with Code",
      "type": "n8n-nodes-base.code",
      "position": [
        1916,
        -40
      ],
      "parameters": {
        "jsCode": "var arrAuthors = items[0].json.authors;\n\nvar arrNames = arrAuthors.map(function(author) {\n  return \"<a href=\\\"https://openlibrary.org\" + author['key'] + \"\\\">\" + author['name'] + \"</a>\";\n});\n\nvar names = arrNames.join(\", \");\n\nitems[0].json.authors = names;\n\nreturn items;"
      },
      "typeVersion": 2
    },
    {
      "id": "e19dbc55-a1c5-4070-b2ae-2f4582fe14c8",
      "name": "Generate Email Content",
      "type": "n8n-nodes-base.set",
      "position": [
        2136,
        -40
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "msgSubject",
              "value": "=Book Recommendation: {{$node[\"Generate Author Info\t\"].json[\"title\"]}}"
            },
            {
              "name": "msgBody",
              "value": "=<H2><a href=\"{{$node[\"Generate Author Info\t\"].json[\"URL\"]}}\">{{$node[\"Generate Author Info\t\"].json[\"title\"]}}</a></H2>\n<p><em>By {{$node[\"Generate Author Info\t\"].json[\"authors\"]}}</em><br>\n{{$node[\"Generate Author Info\t\"].json[\"description\"]}}</p>"
            }
          ]
        },
        "options": {},
        "keepOnlySet": true
      },
      "typeVersion": 1
    },
    {
      "id": "c178bfca-5ee9-40d5-a0da-1b3fb0f7e5b8",
      "name": "Send Recommendation Email",
      "type": "n8n-nodes-base.emailSend",
      "position": [
        2356,
        -40
      ],
      "parameters": {
        "html": "={{$node[\"Generate Email Content\"].json[\"msgBody\"]}}",
        "options": {},
        "subject": "={{$node[\"Generate Email Content\"].json[\"msgSubject\"]}}",
        "toEmail": "abc@gmail.com",
        "fromEmail": "xyz@gmail.com"
      },
      "credentials": {
        "smtp": {
          "id": "G1kyF8cSWTZ4vouN",
          "name": "SMTP -test"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "fe5af873-7969-436c-8eaf-efed81c83665",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -340,
        -900
      ],
      "parameters": {
        "color": 5,
        "width": 600,
        "height": 360,
        "content": "## Overview: \n\nThis workflow triggers on book request emails, uses Ollama LLM to extract intent, queries a Book Search API for data (title, summary, details), handles no-book cases, formats and enhances the data, generates a personalized email, and sends it to the user.\n\n✅ Ideal for automated book suggestions using LLMs and structured APIs.\n✅ Great for newsletter, reading clubs, and educational bots.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "afa604fa-0086-4327-998b-7b720694fc42",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        400,
        -880
      ],
      "parameters": {
        "width": 660,
        "height": 320,
        "content": "## How to Run:\n\n1. Ensure the email trigger is connected to a valid inbox (IMAP/Gmail).\n2. Verify the Ollama node is running with the correct model.\n3. Set valid credentials for the book search API.\n4. Click **“Execute Workflow”** or activate the workflow to listen in real-time.\n5. Send a test email with a book request (e.g., “Recommend me a sci-fi novel.”).\n6. Check the sent mailbox for the recommendation email.\n\n## Tip: \nCustomize the book genre parser or API call to match your use case.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "afdc2813-f8ef-4311-bb5b-dbdd2784dfca",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -480,
        -340
      ],
      "parameters": {
        "color": 4,
        "width": 540,
        "height": 860,
        "content": "## Email Input Processing\n\nTriggers on new book request emails and uses Ollama LLM to extract user intent."
      },
      "typeVersion": 1
    },
    {
      "id": "c0a2dc78-18a6-48f8-9599-74e4d5e7c27e",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1680,
        -380
      ],
      "parameters": {
        "color": 2,
        "width": 880,
        "height": 860,
        "content": "## Output Generation\n\nFormats data, refines it with code, creates a personalized email, and sends it to the user."
      },
      "typeVersion": 1
    },
    {
      "id": "7a49c987-d940-4e65-ab52-b024d838a55c",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        140,
        -340
      ],
      "parameters": {
        "color": 3,
        "width": 580,
        "height": 860,
        "content": "## Book Data Retrieval\n\nGenerates a search query, fetches book data (title, summary, details) via API, and validates the response."
      },
      "typeVersion": 1
    },
    {
      "id": "86d479fa-002c-4e2f-8239-e3ba21d3989b",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1000,
        -380
      ],
      "parameters": {
        "color": 6,
        "width": 620,
        "height": 860,
        "content": "## Data Preparation\n\nExtracts summary, ensures data readiness, and gathers additional book details."
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
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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 - Chatbot de soporte, IA Multimodal

¿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.

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Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos21
Categoría2
Tipos de nodos10
Descripción de la dificultad

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

Autor
Oneclick AI Squad

Oneclick AI Squad

@oneclick-ai

The AI Squad Initiative is a pioneering effort to build, automate and scale AI-powered workflows using n8n.io. Our mission is to help individuals and businesses integrate AI agents seamlessly into their daily operations from automating tasks and enhancing productivity to creating innovative, intelligent solutions. We design modular, reusable AI workflow templates that empower creators, developers and teams to supercharge their automation with minimal effort and maximum impact.

Enlaces externos
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