AutomationFlowsAI & RAG › Generate Comprehensive Research Reports with Gemini AI and Tavily Search for…

Generate Comprehensive Research Reports with Gemini AI and Tavily Search for…

Original n8n title: Generate Comprehensive Research Reports with Gemini AI and Tavily Search for Japanese Users

ByShun Fukuchi @shunfkc on n8n.io

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Event trigger★★★★☆ complexityAI-powered18 nodesAgentGoogle Gemini ChatOutput Parser Structured@Tavily/N8N Nodes TavilyGmail
AI & RAG Trigger: Event Nodes: 18 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow corresponds to n8n.io template #5897 — we link there as the canonical source.

This workflow follows the Agent → Gmail recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "id": "Ud48ms2k7e8jttpp",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "name": "simple_deepresearch_for_Japanese_users_for_publish",
  "tags": [],
  "nodes": [
    {
      "id": "bdf85255-f3d9-4973-90a7-88728b1d0aec",
      "name": "When clicking \u2018Execute workflow\u2019",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        120,
        0
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "81ece876-1fb4-44d0-b739-6c2885faf6f4",
      "name": "Query Generator",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        700,
        0
      ],
      "parameters": {
        "text": "=\u8cea\u554f\u306b\u5bfe\u3057\u3066\u6709\u529b\u306a\u30af\u30a8\u30ea\u30923\u3064\u4f5c\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u3002",
        "options": {
          "systemMessage": "=\u3042\u306a\u305f\u306f\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u304b\u3089\u6700\u9069\u306a\u691c\u7d22\u30af\u30a8\u30ea\u3092\u62bd\u51fa\u3059\u308b\u5c02\u9580\u5bb6\u3067\u3059\u3002\n\n\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\uff1a{{ $json.query }}\n\n## \u3042\u306a\u305f\u306e\u4ed5\u4e8b\uff1a\n\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u3092\u5206\u6790\u3057\u3001\u6700\u3082\u52b9\u679c\u7684\u306a\u691c\u7d22\u30ad\u30fc\u30ef\u30fc\u30c9\u30923\u3064\u4f5c\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\n## \u91cd\u8981\u306a\u6307\u793a\uff1a\n- **\u691c\u7d22\u30af\u30a8\u30ea\u306e\u307f\u3092\u51fa\u529b**\u3057\u3066\u304f\u3060\u3055\u3044\uff08\u8aac\u660e\u3084\u524d\u7f6e\u304d\u306f\u4e00\u5207\u4e0d\u8981\uff09\n- \u82f1\u8a9e\u306e\u691c\u7d22\u30af\u30a8\u30ea\u304c\u52b9\u679c\u7684\u306a\u5834\u5408\u306f\u82f1\u8a9e\u3067\u51fa\u529b\n- \u8907\u6570\u306e\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u5305\u62ec\u7684\u306a\u691c\u7d22\u3092\u53ef\u80fd\u306b\u3059\u308b\n- \u6709\u529b\u3068\u601d\u308f\u308c\u308b\u30af\u30a8\u30ea\u30923\u3064\u4f5c\u6210\n\n## \u4f8b\uff1a\n- \u8cea\u554f\uff1a\u300cGoogle ADK\u3068LangGraph\u306e\u6bd4\u8f03\u306b\u3064\u3044\u3066\u6559\u3048\u3066\u300d\n- \u51fa\u529b\uff1aGoogle ADK LangGraph comparison features differences\n\n\u691c\u7d22\u30af\u30a8\u30ea\u306e\u307f\u3092\u51fa\u529b\u3057\u3066\u304f\u3060\u3055\u3044\u3002"
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2
    },
    {
      "id": "c3d07289-c5eb-486d-b72b-ac254081c5d2",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        700,
        200
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.5-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "54a580ae-8e1e-466e-b16a-03b595098e2f",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        880,
        200
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"query1\": \"string\",\n\t\t\"query2\": \"string\",\n        \"query3\": \"string\"\n\t}\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "56ed43ed-3130-4943-a437-47f7a5dfcbf8",
      "name": "Google Gemini Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1180,
        180
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.5-flash"
      },
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "0ace29b7-067d-4bf0-9ea4-a34d2f38ae67",
      "name": "Tavily_Search_Tool",
      "type": "@tavily/n8n-nodes-tavily.tavilyTool",
      "position": [
        1340,
        180
      ],
      "parameters": {
        "query": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Query', ``, 'string') }}",
        "options": {
          "max_results": 10,
          "search_depth": "advanced",
          "include_answer": "advanced"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "4ff9b87a-4f50-4080-8bad-ca38c8292c1c",
      "name": "Google Gemini Chat Model2",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1660,
        180
      ],
      "parameters": {
        "options": {
          "maxOutputTokens": 6000
        },
        "modelName": "models/gemini-2.5-pro"
      },
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1801caa0-471a-4a9b-a86e-625118a56024",
      "name": "Send a message",
      "type": "n8n-nodes-base.gmail",
      "position": [
        2120,
        0
      ],
      "parameters": {
        "message": "={{ $json.output }}",
        "options": {},
        "subject": "={{ $('query').item.json.query }}"
      },
      "typeVersion": 2.1
    },
    {
      "id": "5d706b1d-7878-4e5d-8a4a-c11998060d3e",
      "name": "Research Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1180,
        0
      ],
      "parameters": {
        "text": "\u53d7\u3051\u3068\u3063\u305f3\u3064\u306equery\u3092\u4e00\u3064\u305a\u3064Tavily_Search_Tool\u306bquery\u3068\u3057\u3066\u6e21\u3057\u30663\u3064\u306equery\u306b\u95a2\u3057\u3066\u8abf\u67fb\u3092\u5b9f\u884c\u3057\u691c\u7d22\u30af\u30a8\u30ea\u3068\u8abf\u67fb\u7d50\u679c\u3092\u7701\u7565\u305b\u305a\u306b\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u3002",
        "options": {
          "systemMessage": "=\u3042\u306a\u305f\u306fTavily_Search_Tool\u3067\u691c\u7d22\u8abf\u67fb\u3092\u884c\u3046\u5c02\u9580\u5bb6\u3067\u3059\u3002\u691c\u7d22\u30af\u30a8\u30ea\u3068\u691c\u7d22\u8abf\u67fb\u7d50\u679c\u306e\u5185\u5bb9\u3092\u7701\u7565\u305b\u305a\u306b\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u3053\u308c\u4ee5\u5916\u306e\u5185\u5bb9\u306f\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3057\u306a\u304f\u3066\u5927\u4e08\u592b\u3067\u3059\u3002\n\n## \u51e6\u7406\u624b\u9806\uff1a\n1. state\u5185\u306e\u691c\u7d22\u30af\u30a8\u30ea\u3092\u78ba\u8a8d:\n   - query1: {{ $json.output.query1 }}\n   - query2: {{ $json.output.query2 }}\n   - query3: {{ $json.output.query3 }}\n2. tavily_search\u30c4\u30fc\u30eb\u3092\u547c\u3073\u51fa\u3057:\n   - query1~3\u3092\u4f7f\u7528\n   - search_depth: \"advanced\"\n   - include_answer: true\n   - max_results: 10\n\n3. \u7279\u306b\u4ee5\u4e0b\u306b\u6ce8\u76ee\u3057\u3066\u5206\u6790\uff1a\n   - Tavily\u306eAI\u751f\u6210\u56de\u7b54\u306e\u5185\u5bb9\n   - \u6700\u3082\u95a2\u9023\u6027\u306e\u9ad8\u3044\u60c5\u5831\u306e\u8a73\u7d30\n   - \u5c02\u9580\u7684\u306a\u89e3\u8aac\u3084\u5206\u6790\n\ntavily_search\u30c4\u30fc\u30eb\u3092\u5fc5\u305a\u4f7f\u7528\u3057\u3066\u3001\u53ce\u96c6\u3057\u305f\u60c5\u5831\u3068AI\u5206\u6790\u3092\u7d71\u5408\u3057\u3066\u63d0\u4f9b\u3057\u3066\u304f\u3060\u3055\u3044\u3002"
        },
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "c8e7f969-72d9-41f8-a553-6a75b0bc27d2",
      "name": "Report Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1660,
        0
      ],
      "parameters": {
        "text": "\u8abf\u67fb\u7d50\u679c\u3092\u7d71\u5408\u3057\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\u308f\u304b\u308a\u3084\u3059\u3044\u69cb\u9020\u5316\u3055\u308c\u305f\u5305\u62ec\u7684\u306a\u6700\u7d42\u30ec\u30dd\u30fc\u30c8\u3092HTML\u5f62\u5f0f\u3067\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002",
        "options": {
          "systemMessage": "=\u3042\u306a\u305f\u306f\u60c5\u5831\u7d71\u5408\u3068\u5206\u6790\u3092\u884c\u3044\u30e6\u30fc\u30b6\u30fc\u306b\u5bfe\u3059\u308b\u8cea\u554f\u306b\u5bfe\u3057\u3066\u69cb\u9020\u5316\u3055\u308c\u305f\u5305\u62ec\u7684\u306a\u308f\u304b\u308a\u3084\u3059\u3044\u6700\u7d42\u30ec\u30dd\u30fc\u30c8\u3092HTML\u3067\u4f5c\u6210\u3059\u308b\u5c02\u9580\u5bb6\u3067\u3059\u3002\u4ee5\u4e0b\u306e\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\u3001\u8abf\u67fb\u7d50\u679c\u3092\u7d71\u5408\u3057\u3001\u91cd\u8907\u3068\u77db\u76fe\u3092\u6392\u9664\u3057\u306a\u304c\u3089\u5305\u62ec\u7684\u304b\u3064\u5185\u5bb9\u306b\u6cbf\u3063\u3066\u69cb\u9020\u5316\u3055\u308c\u305f\u30ec\u30dd\u30fc\u30c8\u3092HTML\u5f62\u5f0f\u3067\u4f5c\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u30c7\u30fc\u30bf\u304c\u4e0d\u8db3\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u5229\u7528\u53ef\u80fd\u306a\u60c5\u5831\u306e\u307f\u3067\u6700\u5584\u306e\u30ec\u30dd\u30fc\u30c8\u3092\u4f5c\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u3002HTML\u5f62\u5f0f\u306e\u56de\u7b54\u306e\u307f\u3092\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n##\u30e6\u30fc\u30b6\u30fc\u304b\u3089\u306e\u8cea\u554f\uff1a{{ $('query').item.json.query }}\n##\u8abf\u67fb\u7d50\u679c\uff1a{{ $json.output }}\n\n"
        },
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "78256843-744f-4113-aae8-70122c93f19b",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -300,
        -260
      ],
      "parameters": {
        "width": 560,
        "height": 560,
        "content": "## \ud83d\udccb Simple Deep Research for Japanese Users\n\n**\u3053\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306b\u3064\u3044\u3066**\n\n\u3053\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306f\u3001\u65e5\u672c\u8a9e\u30e6\u30fc\u30b6\u30fc\u5411\u3051\u306e\u81ea\u52d5\u8abf\u67fb\u30fb\u5206\u6790\u30b7\u30b9\u30c6\u30e0\u3067\u3059\u3002\u8cea\u554f\u3092\u5165\u529b\u3059\u308b\u3068\u3001AI\u304c\u6700\u9069\u306a\u691c\u7d22\u30af\u30a8\u30ea\u3092\u751f\u6210\u3057\u3001Tavily\u3067\u8907\u6570\u306e\u8996\u70b9\u304b\u3089\u60c5\u5831\u3092\u8abf\u67fb\u3057\u3001\u7d71\u5408\u3055\u308c\u305f\u5305\u62ec\u7684\u306aHTML\u30ec\u30dd\u30fc\u30c8\u3092\u30e1\u30fc\u30eb\u3067\u9001\u4fe1\u3057\u307e\u3059\u3002\n\n**\u4e3b\u306a\u6a5f\u80fd\uff1a**\n- \u8cea\u554f\u304b\u30893\u3064\u306e\u6700\u9069\u5316\u3055\u308c\u305f\u691c\u7d22\u30af\u30a8\u30ea\u3092\u81ea\u52d5\u751f\u6210\n- Tavily\u3092\u4f7f\u7528\u3057\u305f\u9ad8\u5ea6\u306a\u691c\u7d22\u8abf\u67fb\n- \u8907\u6570\u306e\u8abf\u67fb\u7d50\u679c\u3092\u7d71\u5408\u3057\u305fHTML\u30ec\u30dd\u30fc\u30c8\u751f\u6210\n- Gmail\u7d4c\u7531\u3067\u306e\u81ea\u52d5\u30ec\u30dd\u30fc\u30c8\u9001\u4fe1\n\n**\u4f7f\u7528\u65b9\u6cd5\uff1a**\n1. Edit Fields\u30ce\u30fc\u30c9\u3067query\u306e\u5024\u3092\u5909\u66f4\n2. \u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3092\u5b9f\u884c\n3. HTML\u30ec\u30dd\u30fc\u30c8\u304c\u30e1\u30fc\u30eb\u3067\u5c4a\u304f\u307e\u3067\u5f85\u6a5f\n\n**\u5fc5\u8981\u306a\u8a2d\u5b9a\uff1a**\n- Google Gemini API\u8a8d\u8a3c\u60c5\u5831\n- Tavily API\u8a8d\u8a3c\u60c5\u5831\n- Gmail\u8a8d\u8a3c\u60c5\u5831\n- \u9001\u4fe1\u5148\u30e1\u30fc\u30eb\u30a2\u30c9\u30ec\u30b9\u306e\u8a2d\u5b9a"
      },
      "typeVersion": 1
    },
    {
      "id": "5bf63a62-71c9-4b71-92f1-35220c0acf98",
      "name": "query",
      "type": "n8n-nodes-base.set",
      "position": [
        400,
        0
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "552f3fcd-1dc9-4d9b-b906-ead18b354034",
              "name": "query",
              "type": "string",
              "value": "n8n\u3068dify\u306e\u9055\u3044"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "29036268-0dce-406d-b478-550e1d3ecaee",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        320,
        -400
      ],
      "parameters": {
        "color": 4,
        "width": 280,
        "height": 760,
        "content": "## \ud83c\udfaf Step 1: Query Input Setup\n**Edit Fields - \u30af\u30a8\u30ea\u8a2d\u5b9a**\n\n\u3053\u3053\u3067\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u300cn8n\u3068dify\u306e\u9055\u3044\u300d\u304c\u8a2d\u5b9a\u3055\u308c\u3066\u3044\u307e\u3059\u3002\n\n**\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u65b9\u6cd5\uff1a**\n- `query`\u30d5\u30a3\u30fc\u30eb\u30c9\u306e\u5024\u3092\u5909\u66f4\n- \u65e5\u672c\u8a9e\u3067\u8cea\u554f\u3092\u5165\u529b\n- \u6bd4\u8f03\u30fb\u5206\u6790\u30fb\u8abf\u67fb\u7cfb\u306e\u8cea\u554f\u304c\u52b9\u679c\u7684\n"
      },
      "typeVersion": 1
    },
    {
      "id": "b8a3c415-4643-4a0a-bcfa-46cb9aaff345",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        640,
        -400
      ],
      "parameters": {
        "color": 5,
        "width": 400,
        "height": 760,
        "content": "## \ud83e\udde0 Step 2: AI Query Generation\n**Query Generator - \u30af\u30a8\u30ea\u6700\u9069\u5316**\n\nGoogle Gemini 2.5-flash\u3092\u4f7f\u7528\u3057\u3066\u3001\u5165\u529b\u3055\u308c\u305f\u8cea\u554f\u304b\u30893\u3064\u306e\u6700\u9069\u5316\u3055\u308c\u305f\u691c\u7d22\u30af\u30a8\u30ea\u3092\u751f\u6210\u3057\u307e\u3059\u3002\n\n**\u51e6\u7406\u5185\u5bb9\uff1a**\n- \u65e5\u672c\u8a9e\u8cea\u554f\u3092\u5206\u6790\n- \u691c\u7d22\u306b\u9069\u3057\u305f\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u62bd\u51fa\n- \u82f1\u8a9e\u30af\u30a8\u30ea\u3082\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u751f\u6210\n- \u69cb\u9020\u5316\u51fa\u529b\u3067query1, query2, query3\u3092\u751f\u6210\n\n**\u91cd\u8981\uff1a** Google Gemini API\u8a8d\u8a3c\u60c5\u5831\u304c\u5fc5\u8981\u3067\u3059"
      },
      "typeVersion": 1
    },
    {
      "id": "5417921f-5cf9-445a-a731-4ea0f242271b",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1080,
        -400
      ],
      "parameters": {
        "color": 6,
        "width": 460,
        "height": 720,
        "content": "## \ud83d\udd0d Step 3: Multi-Query Research\n**Research Agent - \u8abf\u67fb\u5b9f\u884c**\n\n\u751f\u6210\u3055\u308c\u305f3\u3064\u306e\u30af\u30a8\u30ea\u3092\u4f7f\u7528\u3057\u3066Tavily\u3067\u8abf\u67fb\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002\n\n**\u8abf\u67fb\u8a2d\u5b9a\uff1a**\n- `search_depth`: \"advanced\"\n- `max_results`: 10\n- `include_answer`: \"advanced\"\n\n**\u51e6\u7406\u5185\u5bb9\uff1a**\n- \u5404\u30af\u30a8\u30ea\u3067Tavily\u691c\u7d22\u3092\u5b9f\u884c\n- AI\u751f\u6210\u56de\u7b54\u3092\u53ce\u96c6\n- \u95a2\u9023\u6027\u306e\u9ad8\u3044\u60c5\u5831\u3092\u62bd\u51fa\n- \u5c02\u9580\u7684\u306a\u89e3\u8aac\u3084\u5206\u6790\u3092\u7d71\u5408\n\n**\u91cd\u8981\uff1a** Tavily API\u8a8d\u8a3c\u60c5\u5831\u304c\u5fc5\u8981\u3067\u3059"
      },
      "typeVersion": 1
    },
    {
      "id": "5e73dace-b2dc-462a-b311-257799145ae1",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1580,
        -400
      ],
      "parameters": {
        "color": 7,
        "width": 400,
        "height": 720,
        "content": "## \ud83d\udcca Step 4: Report Generation\n**Report Agent - \u30ec\u30dd\u30fc\u30c8\u4f5c\u6210**\n\n\u53ce\u96c6\u3057\u305f\u8abf\u67fb\u7d50\u679c\u3092\u7d71\u5408\u3057\u3001\u69cb\u9020\u5316\u3055\u308c\u305fHTML\u30ec\u30dd\u30fc\u30c8\u3092\u751f\u6210\u3057\u307e\u3059\u3002\n\n**\u30ec\u30dd\u30fc\u30c8\u7279\u5fb4\uff1a**\n- \u5305\u62ec\u7684\u3067\u7406\u89e3\u3057\u3084\u3059\u3044\u69cb\u9020\n- \u91cd\u8907\u3068\u77db\u76fe\u3092\u6392\u9664\n- HTML\u5f62\u5f0f\u3067\u8996\u899a\u7684\u306b\u898b\u3084\u3059\u3044\n- \u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u76f4\u63a5\u7684\u306a\u56de\u7b54\n\n**\u4f7f\u7528\u30e2\u30c7\u30eb\uff1a** Google Gemini 2.5-pro\uff08\u9ad8\u54c1\u8cea\u306a\u5206\u6790\u306e\u305f\u3081\uff09"
      },
      "typeVersion": 1
    },
    {
      "id": "cf3d13de-00b5-4dee-9f92-33735ee627f2",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2020,
        -400
      ],
      "parameters": {
        "color": 2,
        "width": 340,
        "height": 720,
        "content": "## \ud83d\udce7 Step 5: Email Delivery\n**Send a message - \u30ec\u30dd\u30fc\u30c8\u9001\u4fe1**\n\n\u5b8c\u6210\u3057\u305fHTML\u30ec\u30dd\u30fc\u30c8\u3092Gmail\u7d4c\u7531\u3067\u9001\u4fe1\u3057\u307e\u3059\u3002\n\n**\u9001\u4fe1\u8a2d\u5b9a\uff1a**\n- \u9001\u4fe1\u5148\uff1aTo\u3067\u9001\u4fe1\u5148\u3092\u8a2d\u5b9a\n- \u4ef6\u540d\uff1a\u5165\u529b\u3055\u308c\u305f\u8cea\u554f\n- \u672c\u6587\uff1aHTML\u30ec\u30dd\u30fc\u30c8\n\n**\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\uff1a** \u9001\u4fe1\u5148\u30e1\u30fc\u30eb\u30a2\u30c9\u30ec\u30b9\u3092\u9069\u5207\u306b\u5909\u66f4\u3057\u3066\u304f\u3060\u3055\u3044"
      },
      "typeVersion": 1
    },
    {
      "id": "5575b0b2-68ef-4e9c-8cdf-b01bdc858f69",
      "name": "Sticky Note6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -300,
        340
      ],
      "parameters": {
        "width": 560,
        "height": 360,
        "content": "## \ud83d\udca1 Customization Tips\n\n**\u30af\u30a8\u30ea\u306e\u6700\u9069\u5316**\n- \u5177\u4f53\u7684\u3067\u660e\u78ba\u306a\u8cea\u554f\u3092\u5165\u529b\n- \u6bd4\u8f03\u5206\u6790\u7cfb\u306e\u8cea\u554f\u304c\u7279\u306b\u52b9\u679c\u7684\n- \u65e5\u672c\u8a9e\u3067\u306e\u5165\u529b\u3092\u63a8\u5968\n\n**\u30ec\u30dd\u30fc\u30c8\u54c1\u8cea\u5411\u4e0a**\n- \u3088\u308a\u8a73\u7d30\u306a\u8abf\u67fb\u304c\u5fc5\u8981\u306a\u5834\u5408\u306fmax_results\u3092\u5897\u52a0\n- \u30af\u30a8\u30ea\u306e\u6570\u30923\u3064\u4ee5\u4e0a\u306b\u5897\u3084\u3059\n- \u7279\u5b9a\u5206\u91ce\u306b\u7279\u5316\u3059\u308b\u5834\u5408\u306fsystem message\u3092\u8abf\u6574\n\n**\u914d\u4fe1\u8a2d\u5b9a**\n- \u8907\u6570\u306e\u5b9b\u5148\u306b\u9001\u4fe1\u3059\u308b\u5834\u5408\u306fSend a message\u30ce\u30fc\u30c9\u3092\u8907\u88fd\n- \u5b9a\u671f\u5b9f\u884c\u3059\u308b\u5834\u5408\u306fCron Trigger\u3092\u8ffd\u52a0\u691c\u8a0e"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "d5e15813-1520-4e67-ad60-557748e836bb",
  "connections": {
    "query": {
      "main": [
        [
          {
            "node": "Query Generator",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Report Agent": {
      "main": [
        [
          {
            "node": "Send a message",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Research Agent": {
      "main": [
        [
          {
            "node": "Report Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Query Generator": {
      "main": [
        [
          {
            "node": "Research Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Tavily_Search_Tool": {
      "ai_tool": [
        [
          {
            "node": "Research Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Query Generator",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Query Generator",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "Research Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model2": {
      "ai_languageModel": [
        [
          {
            "node": "Report Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "When clicking \u2018Execute workflow\u2019": {
      "main": [
        [
          {
            "node": "query",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

Pro

For the full experience including quality scoring and batch install features for each workflow upgrade to Pro

About this workflow

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Source: https://n8n.io/workflows/5897/ — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

Related workflows

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.

AI & RAG

simple_deepresearch_for_Japanese_users_for_publish. Uses agent, lmChatGoogleGemini, outputParserStructured, @tavily/n8n-nodes-tavily. Event-driven trigger; 18 nodes.

Agent, Google Gemini Chat, Output Parser Structured +2
AI & RAG

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

HTTP Request, Google Sheets, OpenRouter Chat +5
AI & RAG

This comprehensive n8n workflow automates the complete process of generating professional interior design moodboards from concept to client delivery. Users submit a design brief through a form, and th

Google Gemini Chat, Output Parser Structured, Tool Think +7
AI & RAG

This workflow automatically transforms your messy inbox into a neatly organized space while ensuring you never miss a critical message. It connects to your Gmail account and triggers for every new ema

Gmail Trigger, Output Parser Structured, Gmail Tool +8
AI & RAG

This automated workflow intelligently qualifies interior design leads, generates personalized client emails, and manages follow-up through a human-approval process. Built with n8n, Claude AI, Telegram

Form Trigger, Google Gemini Chat, Output Parser Structured +5