ビジネスのAIコマンドセンター：Google Workspaceモジュール型アクター、ベクター検索、マルチチャネルレポート
上級
これはDocument Extraction, AI Chatbot分野の自動化ワークフローで、80個のノードを含みます。主にSet, Gmail, Slack, Switch, Markdownなどのノードを使用。 ビジネスAIコマンドセンター：Google Workspaceモジュール型アジンス、ベクター検索、マルチチャネルレポート
前提条件
- •Googleアカウント + Gmail API認証情報
- •Slack Bot Token または Webhook URL
- •Telegram Bot Token
- •Google Drive API認証情報
- •PostgreSQLデータベース接続情報
- •ターゲットAPIの認証情報が必要な場合あり
- •OpenAI API Key
- •Google Sheets API認証情報
- •Anthropic API Key
- •Supabase URL と API Key
使用ノード (80)
Set
Gmail
Slack
Switch
Markdown
Telegram
WhatsApp
StickyNote
GoogleDrive
GmailTrigger
PostgresTool
SlackTrigger
ManualTrigger
PerplexityTool
Agent
ExtractFromFile
GoogleDriveTool
HttpRequestTool
TelegramTrigger
WhatsAppTrigger
OpenAi
GoogleSheetsTool
AgentTool
ToolThink
McpTrigger
LmChatOpenAi
ToolWorkflow
ExecuteWorkflowTrigger
McpClientTool
RerankerCohere
ToolCalculator
LmChatAnthropic
EmbeddingsOpenAi
LmChatOpenRouter
MemoryPostgresChat
VectorStoreSupabase
DocumentDefaultDataLoader
TextSplitterRecursiveCharacterTextSplitter
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"meta": {
"instanceId": "e7ccf4281d5afb175c79c02db95b45f15d5b53862cb6bc357c5e5bc26567f35c"
},
"nodes": [
{
"id": "0a7f8501-c9a7-47d6-b6b9-1a32de661ce0",
"name": "Google Sheets - データ読み込み",
"type": "n8n-nodes-base.googleSheetsTool",
"notes": "📊 READ SPREADSHEET DATA\n\nRetrieve and analyze data from Google Sheets. Perfect for AI to read, process, and extract insights from spreadsheet content.\n\nUse Cases:\n• \"Read data from the Sales sheet\"\n• \"Get all entries from A1:E100\"\n• \"Show me the data in the Budget spreadsheet\"\n• \"Extract customer information from the CRM sheet\"\n\nAI Parameters:\n• Document_ID: Target spreadsheet ID\n• Sheet_Name: Specific sheet tab name\n• Range: Cell range to read (optional)",
"position": [
3024,
-352
],
"parameters": {},
"typeVersion": 4.6
},
{
"id": "e18d26cf-8208-45ca-8e6e-fdb83e1127ba",
"name": "Google Sheets - データ消去",
"type": "n8n-nodes-base.googleSheetsTool",
"notes": "🗑️ CLEAR SPREADSHEET DATA\n\nRemove data from specific ranges or entire sheets. Useful for resetting data, clearing temporary calculations, or preparing sheets for new data.\n\nUse Cases:\n• \"Clear all data from the temp sheet\"\n• \"Remove entries from A1:E100\"\n• \"Clean up the old data in column C\"\n• \"Reset the calculation area\"\n\nAI Parameters:\n• Document_ID: Target spreadsheet ID\n• Sheet_Name: Sheet to clear data from\n• Range: Specific range to clear\n\n⚠️ Use with caution - data will be permanently removed!",
"position": [
3136,
-352
],
"parameters": {},
"typeVersion": 4.6
},
{
"id": "5f24bc02-2510-4dcf-b2f2-b32d114fdda8",
"name": "Google Sheets - データ追加",
"type": "n8n-nodes-base.googleSheetsTool",
"notes": "➕ ADD NEW DATA\n\nAppend new rows of data to existing sheets. Perfect for adding records, logging events, or inserting new entries without affecting existing data.\n\nUse Cases:\n• \"Add a new customer to the CRM sheet\"\n• \"Log today's sales data\"\n• \"Insert a new project entry\"\n• \"Record the meeting notes\"\n\nAI Parameters:\n• Document_ID: Target spreadsheet ID\n• Sheet_Name: Sheet to add data to\n• Data_To_Add: Array/object of new data\n\nFeatures:\n• Automatically finds next empty row\n• Preserves existing data\n• Supports multiple columns",
"position": [
3264,
-352
],
"parameters": {},
"typeVersion": 4.6
},
{
"id": "4018894e-21d2-4c01-93aa-03132bdd423c",
"name": "Google Sheets - シート作成",
"type": "n8n-nodes-base.googleSheetsTool",
"notes": "📋 CREATE NEW SHEET\n\nCreate new worksheet tabs within existing spreadsheets. Great for organizing data into categories or creating project-specific sheets.\n\nUse Cases:\n• \"Create a new sheet called 'Q4 Sales'\"\n• \"Add a Project Timeline sheet\"\n• \"Make a new Budget 2024 tab\"\n• \"Create a sheet for customer feedback\"\n\nAI Parameters:\n• Document_ID: Target spreadsheet ID\n• New_Sheet_Name: Name for the new sheet\n• Header_Row: Optional column headers\n\nBest Practices:\n• Use descriptive sheet names\n• Include header rows for data structure\n• Consider sheet organization strategy",
"position": [
3408,
-352
],
"parameters": {},
"typeVersion": 4.6
},
{
"id": "7d2702dd-3bef-4165-8568-0574491bad0f",
"name": "Google Sheets - データ更新",
"type": "n8n-nodes-base.googleSheetsTool",
"notes": "✏️ UPDATE EXISTING DATA\n\nModify specific cells or ranges with new values. Perfect for updating records, correcting data, or maintaining current information.\n\nUse Cases:\n• \"Update the status in cell C5 to 'Complete'\"\n• \"Change the price in the product list\"\n• \"Modify the project deadline\"\n• \"Update customer contact information\"\n\nAI Parameters:\n• Document_ID: Target spreadsheet ID\n• Sheet_Name: Sheet containing data to update\n• Range: Specific cells to update (e.g., A1:B2)\n• New_Values: Array of new values\n\nTip: Use precise ranges to avoid overwriting unintended data",
"position": [
3680,
-352
],
"parameters": {},
"typeVersion": 4.6
},
{
"id": "5567f996-6f8e-4abd-9a34-e0e1dcfbb1c2",
"name": "Google Sheets - シート削除",
"type": "n8n-nodes-base.googleSheetsTool",
"notes": "🗑️ DELETE SHEET\n\nRemove entire worksheet tabs when they're no longer needed. Use with caution as this permanently removes all data in the sheet.\n\nUse Cases:\n• \"Delete the old temp sheet\"\n• \"Remove the expired project tab\"\n• \"Clean up test worksheets\"\n• \"Delete duplicate sheets\"\n\nAI Parameters:\n• Document_ID: Target spreadsheet ID\n• Sheet_Name: Sheet tab to delete\n\n⚠️ PERMANENT ACTION - Cannot be undone!\nAlways backup important data first.",
"position": [
3536,
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],
"parameters": {},
"typeVersion": 4.6
},
{
"id": "ebdfd923-6296-4252-b2b4-52364324cb8d",
"name": "MCP Server Sheets",
"type": "@n8n/n8n-nodes-langchain.mcpTrigger",
"notes": "🚀 MCP TRIGGER\n\nThis is the entry point for AI interactions with Google Sheets. The MCP (Model Context Protocol) trigger allows AI models to call any of the connected Google Sheets tools based on user requests.\n\nKey Features:\n• Enables natural language spreadsheet commands\n• Routes AI requests to appropriate Sheets operations\n• Provides context-aware data management\n• Supports complex multi-step data workflows\n• Handles dynamic sheet and document selection",
"position": [
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],
"webhookId": "f0a1fd29-3717-4827-a4d8-ad975f43c401",
"parameters": {},
"typeVersion": 1.1
},
{
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"name": "「ワークフロー実行」クリック時",
"type": "n8n-nodes-base.manualTrigger",
"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "44fa0faf-4d15-4d40-b8c5-2f2bda41b057",
"name": "ファイルダウンロード",
"type": "n8n-nodes-base.googleDrive",
"position": [
3264,
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],
"parameters": {},
"typeVersion": 3
},
{
"id": "c90553f9-65b4-4284-8453-ec2b5112c7e0",
"name": "デフォルトデータローダー1",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
3616,
416
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "268a3365-4f6b-49fb-b599-408e0c66f26e",
"name": "再帰的文字テキスト分割器1",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
3696,
624
],
"parameters": {},
"typeVersion": 1
},
{
"id": "80a67e90-3b0c-468d-aabd-f0d473db5c8b",
"name": "SupabaseベクトルDB追加",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
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192
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "a6de1318-7101-4358-8610-f45cd659001e",
"name": "Embeddings OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
3488,
416
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "5fcd1395-3f14-45c4-b0ae-0eea0f97e0ac",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2928,
1344
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "5012eb86-62b4-4e0a-adb4-19045ad3d93e",
"name": "他ワークフロー実行時",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
3360,
1840
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "14417687-e3fa-4ab8-9c8b-8e9b6c15e673",
"name": "Google Drive MCP Server",
"type": "@n8n/n8n-nodes-langchain.mcpTrigger",
"position": [
2960,
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],
"webhookId": "a289c719-fb71-4b08-97c6-79d12645dc7e",
"parameters": {},
"typeVersion": 1
},
{
"id": "fd659c06-c670-4baf-a668-bef56ec31de1",
"name": "ファイルダウンロード1",
"type": "n8n-nodes-base.googleDrive",
"position": [
3712,
1840
],
"parameters": {},
"typeVersion": 3
},
{
"id": "7db762ea-339b-4d17-b57e-249634ad055c",
"name": "ファイルタイプ",
"type": "n8n-nodes-base.switch",
"position": [
3904,
1792
],
"parameters": {},
"typeVersion": 3.2
},
{
"id": "0b5e8931-4151-4e41-acc0-c75a62ade255",
"name": "操作",
"type": "n8n-nodes-base.switch",
"position": [
3536,
1840
],
"parameters": {},
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},
{
"id": "e49c8cc0-279c-49d9-9699-a807a1173eea",
"name": "PDF抽出",
"type": "n8n-nodes-base.extractFromFile",
"position": [
4176,
1552
],
"parameters": {},
"typeVersion": 1
},
{
"id": "a5318ca9-b843-44f6-9477-b2850811f091",
"name": "CSV抽出",
"type": "n8n-nodes-base.extractFromFile",
"position": [
4176,
1744
],
"parameters": {},
"typeVersion": 1
},
{
"id": "a6afcc29-7c24-45a5-91f9-fd0362ee850a",
"name": "PDF応答取得",
"type": "n8n-nodes-base.set",
"position": [
4336,
1552
],
"parameters": {},
"typeVersion": 3.4
},
{
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"name": "CSV応答取得",
"type": "n8n-nodes-base.set",
"position": [
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],
"parameters": {},
"executeOnce": true,
"typeVersion": 3.4
},
{
"id": "99feec0e-c0da-40cc-af57-34496d15fb15",
"name": "GDriveファイル読み込み",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
3216,
1648
],
"parameters": {},
"typeVersion": 2.1
},
{
"id": "d6ce37d1-c35c-41cb-8f39-b9195d80d353",
"name": "GDriveファイル検索",
"type": "n8n-nodes-base.googleDriveTool",
"position": [
3024,
1680
],
"parameters": {},
"typeVersion": 3
},
{
"id": "d6b0d109-47ce-4807-8615-b66a5613f6ca",
"name": "画像解析",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
4176,
1920
],
"parameters": {},
"typeVersion": 1.8
},
{
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"name": "音声文字起こし",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
4176,
2096
],
"parameters": {},
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},
{
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"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
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3344,
1280
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
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"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
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3328,
1440
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
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"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
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2960,
96
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "b6849af3-6062-4368-8994-ca376479a5e0",
"name": "Postgres Chat Memory1",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
848,
496
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "0277def2-25e8-4e48-ab60-ad19fb68df39",
"name": "Embeddings OpenAI2",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
2224,
592
],
"parameters": {},
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},
{
"id": "365cdef7-f4eb-4428-b813-edb34f601f98",
"name": "Reranker Cohere1",
"type": "@n8n/n8n-nodes-langchain.rerankerCohere",
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2416,
560
],
"parameters": {},
"typeVersion": 1
},
{
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"name": "Anthropic Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
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672,
496
],
"parameters": {},
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},
{
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"name": "構造化データ1",
"type": "n8n-nodes-base.postgresTool",
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1280,
528
],
"parameters": {},
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},
{
"id": "91baf464-fdf1-4d45-809b-6f904eff4354",
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2240,
432
],
"parameters": {},
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},
{
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960,
496
],
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},
{
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592,
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],
"parameters": {
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},
"typeVersion": 1
},
{
"id": "dfdace36-b1b6-4c00-acb5-3ec811111402",
"name": "Perplexityモデルメッセージ1",
"type": "n8n-nodes-base.perplexityTool",
"position": [
1600,
800
],
"parameters": {},
"typeVersion": 1
},
{
"id": "eace82ff-d393-4faa-8ae7-4e712ea64ca1",
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{
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2352,
1664
],
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},
{
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],
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},
{
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160
],
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{
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{
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{
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400,
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],
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{
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{
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{
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"name": "付箋16",
"type": "n8n-nodes-base.stickyNote",
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1600
],
"parameters": {
"content": ""
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"typeVersion": 1
},
{
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"name": "計算機",
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
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"parameters": {},
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},
{
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"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
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],
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},
{
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"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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560
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "584ebbd9-5f20-4cd8-8435-3c6fa2db527a",
"name": "HTTPリクエスト1",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
48,
544
],
"parameters": {},
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},
{
"id": "83dd7fbc-a215-48ab-adb3-394bb7251452",
"name": "Linkedinスクレイパー",
"type": "@n8n/n8n-nodes-langchain.agentTool",
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368
],
"parameters": {},
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},
{
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{
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"parameters": {
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{
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"name": "レポート作成",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
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],
"parameters": {},
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{
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],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
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}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級 - 文書抽出, AIチャットボット
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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RAGとドキュメント对话：Google DriveからGPT-5へ、SupabaseベクターDBを使用
RAGでドキュメントと対話：Google DriveからGPT-5まで、Supabaseベクトルデータベースを使用
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30 ノードPaul
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Paul
@diagoplAutomation expert & n8n power user. I build advanced workflows combining AI, outbound, and business logic. Grab my templates or reach out for custom builds.
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