新邮件的Email RAG

• •Google 账号和 Gmail API 凭证
• •OpenAI API Key

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  "name": "新邮件的 Email RAG",
  "tags": [
    {
      "id": "PNmVCFjr9sq0xind",
      "name": "RAG",
      "createdAt": "2025-07-12T09:30:51.202Z",
      "updatedAt": "2025-07-12T09:30:51.202Z"
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    {
      "id": "3Jr6wxDndYE0FaUt",
      "name": "email",
      "createdAt": "2025-07-12T10:08:56.337Z",
      "updatedAt": "2025-07-12T10:08:56.337Z"
    }
  ],
  "nodes": [
    {
      "id": "a896498a-dc44-4d77-8268-7f7001510974",
      "name": "Gmail 触发器",
      "type": "n8n-nodes-base.gmailTrigger",
      "position": [
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      "parameters": {
        "filters": {},
        "pollTimes": {
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      "position": [
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      ],
      "webhookId": "[REDACTED_WEBHOOK_ID]",
      "parameters": {
        "simple": false,
        "options": {},
        "messageId": "={{ $json.id }}",
        "operation": "get"
      },
      "typeVersion": 2.1
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    {
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      "name": "OpenAI嵌入3",
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      "parameters": {
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "=data_source",
                "value": "=gmail"
              },
              {
                "name": "=created_at",
                "value": "={{ $json.date }}"
              }
            ]
          }
        },
        "jsonData": "=Email details:\nDate: {{ $json.headers.date }}\n\nFrom Email: {{ $json.from.value[0].address }}\nFrom Name:  {{ $json.from.value[0].name }}\n\nTo Email: {{ $json.to.value[0].address }}\n\nEmail Subject:\n{{ $json.subject }}\n\nEmail body:\n{{ $json.text }}",
        "jsonMode": "expressionData"
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      "typeVersion": 1
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    {
      "id": "251eaeab-ec58-48ad-b51c-556c739ba777",
      "name": "Postgres PGVector Store3",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePGVector",
      "position": [
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      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "tableName": "emails_vector_history"
      },
      "typeVersion": 1.1
    },
    {
      "id": "c0930431-754d-4f87-bf44-6415a816aa7d",
      "name": "便签2",
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      "position": [
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      ],
      "parameters": {
        "color": 4,
        "width": 1200,
        "height": 740,
        "content": "## 监视触发器（邮件）- 新邮件"
      },
      "typeVersion": 1
    },
    {
      "id": "c6abb6a2-bc2a-4b2c-98c8-4de628c2776d",
      "name": "OpenAI 聊天模型",
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        "content": "## RAG AI Agent"
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      "name": "新 RAG Agent",
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      "parameters": {
        "options": {
          "systemMessage": "=You are a helpful assistant that will get data from RAG and send a good response to user.\n\nToday date is this if user ask for dated or latest data: {{ $now }}"
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      "parameters": {
        "mode": "retrieve-as-tool",
        "topK": 5,
        "options": {},
        "toolName": "emails_vector_search",
        "tableName": "emails_vector_history",
        "toolDescription": "Call this tool to perform a vector embeddings search in my e-mail database. For time-specific queries:\n1. ALWAYS include the time frame in your query (e.g., \"interviews scheduled after April 27, 2025\" or \"interviews for next week April 28-May 4, 2025\")\n2. For future events, explicitly mention \"future\" or \"upcoming\" in your query"
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          "name": "OpenAi account"
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      "typeVersion": 1.1
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      "id": "e569097d-79b8-4648-86d5-67298c2a25d6",
      "name": "当收到聊天消息时",
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      "webhookId": "c91764c2-0b51-4025-ad74-d5f44127aa5a",
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            "index": 0
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    "Gmail Trigger": {
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            "node": "Get Mail Data",
            "type": "main",
            "index": 0
          }
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    "OpenAI Chat Model": {
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            "type": "ai_embedding",
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    "When chat message received": {
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