Qdrantを使った完全なRAGシステム、自動出典引用付き
上級
これはAI, IT Ops分野の自動化ワークフローで、29個のノードを含みます。主にSet, Code, Wait, Merge, Aggregateなどのノードを使用、AI技術を活用したスマート自動化を実現。 Qdrant、Gemini、OpenAIを使った自動引用機能付きRAGシステムの構築
前提条件
- •Google Drive API認証情報
- •ターゲットAPIの認証情報が必要な場合あり
- •OpenAI API Key
- •Qdrantサーバー接続情報
- •Google Gemini API Key
使用ノード (29)
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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"content": "## Complete RAG System with Automatic Source Citations Using Qdrant\n\nThis workflow implements a **Retrieval-Augmented Generation (RAG)** system that:\n\n* Stores vectorized documents in **Qdrant**,\n* Retrieves relevant content based on user input,\n* Generates AI answers using **Google Gemini**,\n* Automatically **cites the document sources** (from Google Drive).\n"
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"content": "# STEP 1\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION"
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"content": "# STEP 2\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Documents vectorization with Qdrant and Google Drive\nChange:\n- QDRANTURL\n- COLLECTION"
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"content": "Set as metadata:\n- FILE_ID from Google Drive\n- FILE_NAME from Google Drive\n\n```\n{\n \"source\": \"blob\",\n \"blobType\": \"text/plain\",\n \"loc\": {\n \"lines\": {\n \"from\": 1,\n \"to\": 15\n }\n },\n \"file_id\": \"xxxxxxxxxxxxxxxxxxxxxxxxxx\",\n \"file_name\": \"FAQ\"\n}\n```\n\n\n"
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"content": "The final output is:\n\n\nRESPONSE\n\nSources: [\"FILENAME 1\", \"FILENAME 2\",...]\n\n"
},
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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 - 人工知能, IT運用
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29
カテゴリー2
ノードタイプ18
作成者
Davide
@n3witaliaFull-stack Web Developer based in Italy specialising in Marketing & AI-powered automations. For business enquiries, send me an email at info@n3w.it or add me on Linkedin.com/in/davideboizza
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