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
上級
これはInternal Wiki, Multimodal AI分野の自動化ワークフローで、30個のノードを含みます。主にSet, Gmail, Slack, SplitOut, Telegramなどのノードを使用。 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
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
- •OpenAI API Key
- •PostgreSQLデータベース接続情報
- •Supabase URL と API Key
使用ノード (30)
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
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{
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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 - 内部Wiki, マルチモーダルAI
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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ワークフロー情報
難易度
上級
ノード数30
カテゴリー2
ノードタイプ22
作成者
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.
外部リンク
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