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AI驱动的图书推荐引擎

高级

这是一个Support Chatbot, Multimodal AI领域的自动化工作流，包含 21 个节点。主要使用 If, Set, Code, Wait, EmailSend 等节点。 基于邮件的图书推荐系统，使用Ollama大语言模型和OpenLibrary API

前置要求
  • •可能需要目标 API 的认证凭证

使用的节点 (21)

If
Set
Code
Wait
EmailSend
StickyNote
HttpRequest
EmailReadImap
Agent
LmChatOllama

分类

客服机器人
多模态 AI
工作流预览
可视化展示节点连接关系，支持缩放和平移
React Flow
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
  "id": "QRbFHzWOiN6ee7D9",
  "meta": {
    "instanceId": "dd69efaf8212c74ad206700d104739d3329588a6f3f8381a46a481f34c9cc281",
    "templateCredsSetupCompleted": true
  },
  "name": "AI 驱动的图书推荐引擎",
  "tags": [],
  "nodes": [
    {
      "id": "9840af8c-b582-4659-ae3b-869500193074",
      "name": "Ollama 模型",
      "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": "电子邮件触发器 – 图书请求",
      "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": "使用 Ollama 分析电子邮件",
      "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": "创建图书搜索查询",
      "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": "调用图书搜索 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{{$node[\"Extract Book Summary\"].json[\"works\"][0][\"key\"]}}"
            }
          ]
        },
        "options": {},
        "keepOnlySet": true
      },
      "typeVersion": 1
    },
    {
      "id": "79d33736-4931-4f7e-8ac0-07980cc8fcb9",
      "name": "Enhance Data with Code",
      "type": "n8n-nodes-base.code",
      "position": [
        1916,
        -40
      ],
      "parameters": {
        "jsCode": "var arrAuthors = items[0].json.authors;\n\nvar arrNames = arrAuthors.map(function(author) {\n  return \"<a href=\\\"https://openlibrary.org\" + author['key'] + \"\\\">\" + author['name'] + \"</a>\";\n});\n\nvar names = arrNames.join(\", \");\n\nitems[0].json.authors = names;\n\nreturn items;"
      },
      "typeVersion": 2
    },
    {
      "id": "e19dbc55-a1c5-4070-b2ae-2f4582fe14c8",
      "name": "生成邮件内容",
      "type": "n8n-nodes-base.set",
      "position": [
        2136,
        -40
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "msgSubject",
              "value": "=Book Recommendation: {{$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": "便签",
      "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": "便签1",
      "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": "便签2",
      "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": "便签3",
      "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": "便签4",
      "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": "便利贴5",
      "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"
  },
  "versionId": "675f1b3c-84ee-47b1-bbc4-c2c1a79a7b55",
  "connections": {
    "Ollama Model": {
      "ai_languageModel": [
        [
          {
            "node": "Analyze Email with Ollama",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Check Book Name": {
      "main": [
        [
          {
            "node": "Extract Book Summary",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Format Book Data": {
      "main": [
        [
          {
            "node": "Enhance Data with Code",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Check API Response": {
      "main": [
        [
          {
            "node": "Check Book Name",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Handle No Book Found",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Call Book Search API": {
      "main": [
        [
          {
            "node": "Check API Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract Book Summary": {
      "main": [
        [
          {
            "node": "Wait for Summary Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Retrieve Book Details": {
      "main": [
        [
          {
            "node": "Format Book Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Enhance Data with Code": {
      "main": [
        [
          {
            "node": "Generate Email Content",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate Email Content": {
      "main": [
        [
          {
            "node": "Send Recommendation Email",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Create Book Search Query": {
      "main": [
        [
          {
            "node": "Call Book Search API",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Analyze Email with Ollama": {
      "main": [
        [
          {
            "node": "Create Book Search Query",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Wait for Summary Response": {
      "main": [
        [
          {
            "node": "Retrieve Book Details",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Email Trigger – Book Request": {
      "main": [
        [
          {
            "node": "Analyze Email with Ollama",
            "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？

高级 - 客服机器人, 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。

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难度等级
高级
节点数量21
分类2
节点类型10
难度说明

适合高级用户，包含 16+ 个节点的复杂工作流

作者
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.

外部链接
在 n8n.io 查看 →

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