OpenAI Personal Shopper with RAG and WooCommerce

工作流概述

这是一个包含25个节点的复杂工作流,主要用于自动化处理各种任务。

工作流源代码

下载
{
  "id": "fqQcmSdoVqnPeGHj",
  "meta": {
    "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
    "templateCredsSetupCompleted": true
  },
  "name": "OpenAI Personal Shopper with RAG and WooCommerce",
  "tags": [],
  "nodes": [
    {
      "id": "635901e5-4afd-4c81-a63e-52f1b863a025",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -200,
        280
      ],
      "webhookId": "bd3a878c-50b0-4d92-906f-e768a65c1485",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "d11cd97c-1539-462d-858c-8758cf1a8278",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        620,
        580
      ],
      "parameters": {
        "sessionKey": "={{ $('Edit Fields').item.json.sessionId }}",
        "sessionIdType": "customKey"
      },
      "typeVersion": 1.3
    },
    {
      "id": "02bb43e4-f26e-4906-8049-c49d3fecd817",
      "name": "Calculator",
      "type": "@n8n/n8n-nodes-langchain.toolCalculator",
      "position": [
        760,
        580
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "ad6058dd-b429-4f3c-b68a-7e3d98beec83",
      "name": "Edit Fields",
      "type": "n8n-nodes-base.set",
      "position": [
        20,
        280
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "7015c229-f9fe-4c77-b2b9-4ac09a3a3cb1",
              "name": "sessionId",
              "type": "string",
              "value": "={{ $json.sessionId }}"
            },
            {
              "id": "f8fc0044-6a1a-455b-a435-58931a8c4c8e",
              "name": "chatInput",
              "type": "string",
              "value": "={{ $json.chatInput }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "43f7ee25-4529-4558-b5ea-c2a722b0bce5",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        500,
        580
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "CDX6QM4gLYanh0P4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "8b5ec20d-8735-4030-8113-717d578928eb",
      "name": "RAG",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "position": [
        1000,
        580
      ],
      "parameters": {
        "name": "informazioni_negozio",
        "description": "Informazioni relative al negozio: orari di apertura, indirizzo, contatti, informazioni generali"
      },
      "typeVersion": 1
    },
    {
      "id": "0fd0f1d6-41df-43d4-9418-0685afad409a",
      "name": "Qdrant Vector Store",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        900,
        780
      ],
      "parameters": {
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "list",
          "value": "scarperia",
          "cachedResultName": "scarperia"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "iyQ6MQiVaF3VMBmt",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "72084a2e-0e47-4723-a004-585ae8b67ae3",
      "name": "Embeddings OpenAI",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        840,
        940
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "CDX6QM4gLYanh0P4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "30d398a3-2331-4a3d-898d-c184779c7ef3",
      "name": "OpenAI Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1200,
        800
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "CDX6QM4gLYanh0P4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e10a8024-51ec-4553-a1fa-dbaa49a4d2c2",
      "name": "personal_shopper",
      "type": "n8n-nodes-base.wooCommerceTool",
      "position": [
        880,
        580
      ],
      "parameters": {
        "options": {
          "sku": "={{ $('Information Extractor').item.json.output.SKU }}",
          "search": "={{ $('Information Extractor').item.json.output.keyword }}",
          "maxPrice": "={{ $('Information Extractor').item.json.output.price_max }}",
          "minPrice": "={{ $('Information Extractor').item.json.output.price_min }}",
          "stockStatus": "instock"
        },
        "operation": "getAll"
      },
      "credentials": {
        "wooCommerceApi": {
          "id": "d4EQtVORkOCNQZAm",
          "name": "WooCommerce (Scarperia)"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "f0c53b0d-7173-4ec9-8fb4-f8f45d9ceedc",
      "name": "Information Extractor",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        220,
        280
      ],
      "parameters": {
        "text": "={{ $json.chatInput }}",
        "options": {
          "systemPromptTemplate": "You are an intelligent assistant for a shoe and accessories store (mainly bags). Your task is to analyze the input text coming from a chat and determine if the user is looking for a product. If the user is looking for a product, you need to extract the following information:
1. The keyword (keyword) useful for the search.
2. Any minimum or maximum prices specified.
3. An SKU (product code) if mentioned.
4. The name of the category to search in, if specified.

Instructions:
1. Identify the intent: Determine if the user is looking for a specific product.
2. Extract the information:
- If the user is looking for a product, identify:
- Set the type \"search\" to true. Otherwise, set it to false
- The keywords.
- Any minimum or maximum prices (e.g. \"less than 50 euros\", \"between 30 and 60 euros\").
- An SKU (e.g. \"ABC123 code\").
- The category name (e.g. \"t-shirts\", \"jeans\", \"women\", \"men\").
3. Output format: Return a JSON object with the given structure"
        },
        "schemaType": "manual",
        "inputSchema": "{
       \"search_intent\": true,
       \"search_params\": [
         { \"type\": \"search\", \"value\": \"ture or false\" },
         { \"type\": \"keyword\", \"value\": \"valore_keyword\" },
         { \"type\": \"min_price\", \"value\": \"valore_min_price\" },
         { \"type\": \"max_price\", \"value\": \"valore_max_price\" },
         { \"type\": \"sku\", \"value\": \"valore_sku\" },
         { \"type\": \"category\", \"value\": \"valore_categoria\" }
       ]
     }"
      },
      "typeVersion": 1
    },
    {
      "id": "8386e554-e2f1-42c8-881f-a06e8099f718",
      "name": "OpenAI Chat Model2",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        200,
        460
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "CDX6QM4gLYanh0P4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "4ff30e15-1bf5-4750-a68a-e72f86a4f32c",
      "name": "Google Drive2",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        320,
        -440
      ],
      "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": "list",
            "value": "1lmnqpLFKS-gXmXT92C5VG0P1XlcoeFOb",
            "cachedResultUrl": "https://drive.google.com/drive/folders/1lmnqpLFKS-gXmXT92C5VG0P1XlcoeFOb",
            "cachedResultName": "Scarperia Salò - RAG"
          }
        },
        "options": {},
        "resource": "fileFolder"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "HEy5EuZkgPZVEa9w",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "b4ca79b2-220b-4290-a33a-596250c8fd2d",
      "name": "Google Drive1",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        520,
        -440
      ],
      "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": "18f5e068-ad4a-4be7-987c-83ed5791f012",
      "name": "Embeddings OpenAI3",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        680,
        -260
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "CDX6QM4gLYanh0P4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "43693ee0-a2a3-44d3-86de-4156af84e251",
      "name": "Default Data Loader2",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        880,
        -220
      ],
      "parameters": {
        "options": {},
        "dataType": "binary"
      },
      "typeVersion": 1
    },
    {
      "id": "f0d351e5-faee-49a4-a43c-985785c3d2c8",
      "name": "Token Splitter1",
      "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
      "position": [
        960,
        -60
      ],
      "parameters": {
        "chunkSize": 300,
        "chunkOverlap": 30
      },
      "typeVersion": 1
    },
    {
      "id": "ff77338e-4dac-4261-87a1-10a21108f543",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -200,
        -440
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "72484893-875a-4e8b-83fc-ca137e812050",
      "name": "HTTP Request",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        40,
        -440
      ],
      "parameters": {
        "url": "https://QDRANTURL/collections/NAME/points/delete",
        "method": "POST",
        "options": {},
        "jsonBody": "{
  \"filter\": {}
}",
        "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": "5837e3ac-e3d1-45b6-bd67-8c3d03bf0a1e",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -20,
        -500
      ],
      "parameters": {
        "width": 259.7740863787376,
        "height": 234.1528239202657,
        "content": "Replace the URL and Collection name with your own"
      },
      "typeVersion": 1
    },
    {
      "id": "79baf424-e647-4a80-a19e-c023ad3b1860",
      "name": "Qdrant Vector Store1",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        760,
        -440
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "list",
          "value": "scarperia",
          "cachedResultName": "scarperia"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "iyQ6MQiVaF3VMBmt",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "17015f50-a3a8-4e62-9816-7e71127c1ea1",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -220,
        -640
      ],
      "parameters": {
        "color": 3,
        "width": 1301.621262458471,
        "height": 105.6212624584717,
        "content": "## Step 1 
Create a collectiopn on your Qdrant instance. Then create a basic RAG system with documents uploaded to Google Drive and embedded in the Qdrant vector database"
      },
      "typeVersion": 1
    },
    {
      "id": "0ddbf6be-fa2d-4412-8e85-fe108cd6e84d",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1020,
        980.0000000000001
      ],
      "parameters": {
        "color": 3,
        "width": 1301.621262458471,
        "height": 105.6212624584717,
        "content": "## Step 1 
Create a basic RAG system with documents uploaded to Google Drive and embedded in the Qdrant vector database"
      },
      "typeVersion": 1
    },
    {
      "id": "3782a22d-b3a7-44ea-ad36-fa4382c9fcfd",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -200,
        120
      ],
      "parameters": {
        "color": 3,
        "width": 1301.621262458471,
        "height": 105.6212624584717,
        "content": "## Step 2 
The Information Extractor tries to understand if the request is related to products and if so, it extracts the useful information to filter the products available on WooCommerce by calling the \"personal_shopper\". If it is a general question, the RAG system is called"
      },
      "typeVersion": 1
    },
    {
      "id": "d4d1fb16-3f54-4c1a-ab4e-bcf86d897e9d",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        580,
        280
      ],
      "parameters": {
        "text": "={{ $('When chat message received').item.json.chatInput }}",
        "options": {
          "systemMessage": "=You are an intelligent assistant for a clothing store. Your task is to analyze the input text from a chat and determine if the user is looking for a product.

Behavior:
- If the user is looking for a product the \"search\" field of the following JSON is set to true and you must pass the following JSON as input to the \"personal_shopper\" tool to extract:

```json
{{ JSON.stringify($json.output) }}
```

- If the user asks questions related to the store such as address or opening hours, you must use the \"RAG\" tool"
        },
        "promptType": "define"
      },
      "typeVersion": 1.7
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "47513e11-8e9f-4b7c-b3de-e15cf00a1200",
  "connections": {
    "RAG": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Calculator": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Edit Fields": {
      "main": [
        [
          {
            "node": "Information Extractor",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "HTTP Request": {
      "main": [
        [
          {
            "node": "Google Drive2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Drive1": {
      "main": [
        [
          {
            "node": "Qdrant Vector Store1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Drive2": {
      "main": [
        [
          {
            "node": "Google Drive1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Token Splitter1": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader2",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "personal_shopper": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI": {
      "ai_embedding": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI3": {
      "ai_embedding": [
        [
          {
            "node": "Qdrant Vector Store1",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "RAG",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model2": {
      "ai_languageModel": [
        [
          {
            "node": "Information Extractor",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Qdrant Vector Store": {
      "ai_vectorStore": [
        [
          {
            "node": "RAG",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader2": {
      "ai_document": [
        [
          {
            "node": "Qdrant Vector Store1",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Window Buffer Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Information Extractor": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "Edit Fields",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking ‘Test workflow’": {
      "main": [
        [
          {
            "node": "HTTP Request",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

功能特点

  • 自动检测新邮件
  • AI智能内容分析
  • 自定义分类规则
  • 批量处理能力
  • 详细的处理日志

技术分析

节点类型及作用

  • @N8N/N8N Nodes Langchain.Chattrigger
  • @N8N/N8N Nodes Langchain.Memorybufferwindow
  • @N8N/N8N Nodes Langchain.Toolcalculator
  • Set
  • @N8N/N8N Nodes Langchain.Lmchatopenai

复杂度评估

配置难度:
★★★★☆
维护难度:
★★☆☆☆
扩展性:
★★★★☆

实施指南

前置条件

  • 有效的Gmail账户
  • n8n平台访问权限
  • Google API凭证
  • AI分类服务订阅

配置步骤

  1. 在n8n中导入工作流JSON文件
  2. 配置Gmail节点的认证信息
  3. 设置AI分类器的API密钥
  4. 自定义分类规则和标签映射
  5. 测试工作流执行
  6. 配置定时触发器(可选)

关键参数

参数名称 默认值 说明
maxEmails 50 单次处理的最大邮件数量
confidenceThreshold 0.8 分类置信度阈值
autoLabel true 是否自动添加标签

最佳实践

优化建议

  • 定期更新AI分类模型以提高准确性
  • 根据邮件量调整处理批次大小
  • 设置合理的分类置信度阈值
  • 定期清理过期的分类规则

安全注意事项

  • 妥善保管API密钥和认证信息
  • 限制工作流的访问权限
  • 定期审查处理日志
  • 启用双因素认证保护Gmail账户

性能优化

  • 使用增量处理减少重复工作
  • 缓存频繁访问的数据
  • 并行处理多个邮件分类任务
  • 监控系统资源使用情况

故障排除

常见问题

邮件未被正确分类

检查AI分类器的置信度阈值设置,适当降低阈值或更新训练数据。

Gmail认证失败

确认Google API凭证有效且具有正确的权限范围,重新进行OAuth授权。

调试技巧

  • 启用详细日志记录查看每个步骤的执行情况
  • 使用测试邮件验证分类逻辑
  • 检查网络连接和API服务状态
  • 逐步执行工作流定位问题节点

错误处理

工作流包含以下错误处理机制:

  • 网络超时自动重试(最多3次)
  • API错误记录和告警
  • 处理失败邮件的隔离机制
  • 异常情况下的回滚操作