PDF/MD/テキストファイルとの対話（ベクターストアなし）
上級
これはSupport, AI分野の自動化ワークフローで、20個のノードを含みます。主にSet, Switch, GoogleDrive, HttpRequest, ManualTrigger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。 GraphRAGでPDF/MD/テキストファイルと対話（ベクトルストレージ不要）
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
使用ノード (20)
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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"value": "={{ $json.data }}"
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{
"name": "=categories",
"value": "=[filename: {{ $('Switch').item.json.name }}]"
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"value": "={{{ \"squareBracketsProcessing\":\"IGNORE_BRACKETS\"} }}"
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"content": "# Step 1: Upload Your PDF / MD / Text Files to InfraNodus GraphRAG\n\n## Copy your PDF files to a Google drive and then upload them to your InfraNodus knowledge graph\n\n### InfraNodus visualizes your text as a knowledge graph, showing the main topics and ideas inside. It also provides API access to the knowledge graph, so you can use it as a knowledge base instead of the complex vector store setup\n\n1. You need an [InfraNodus](https://infranodus.com) account to use this workflow. Get the API key at [https://infranodus.com/api-access](https://infranodus.com/api-access)\n2. Also, specify the **name of the graph** you want to save the files to in the InfraNodus HTTP node\n3. When the workflow finishes running, you can get a visualization of your knowledge base at [https://infranodus.com/your_user_name/your_graph_name/edit](https://infranodus.com/your_user_name/your_graph_name/edit)\n\n\n"
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"content": "## Optional: Better PDF Conversion\n\n### Standard Map PDF to Text node will split your PDF files into very short chunks, which deteriorates retrieval. \n\nUse can use [ConvertAPI](https://convertapi.com?ref=4l54n) which is a high-quality convertor that will respect the layout of the original document and not cut the paragraphs into short chunks. \n\nHere is an HTTP node that makes a request to their API to convert the PDF into text. If you have a ConvertAPI account, you can replace the \"Map PDF to Text\" node in step 4 with this node. \n"
},
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{
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"disabled": true,
"position": [
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"webhookId": "a2cfd3b0-aaa4-4003-940d-e520e64830c6",
"parameters": {
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"initialMessages": "=Ask any question about the PDFs or write `/question` to generate an interesting question to discuss."
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{
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"name": "AIエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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"parameters": {
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{
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"parameters": {
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"mode": "list",
"value": "gpt-4o-mini"
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"credentials": {
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"name": "OpenAi account 2"
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},
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{
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{
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"name": "ナレッジベース GraphRAG",
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"parameters": {
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{
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"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters2_Value', `User query to send to the expert`, 'string') }}"
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"value": "true"
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"toolDescription": "You contain knowledge on the topic of user's interst"
},
"credentials": {
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"name": "InfraNodus API Key"
}
},
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{
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"parameters": {
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"height": 700,
"content": "# Step 2: Chat with your PDF / MD / Text Files using [InfraNodus](https://infranodus.com) Graph RAG Knowledge Base\n\n## InfraNodus is used instead of the vector store. It combines traditional RAG and GraphRAG, providing a better topical overview of your knowledge base and having a better understanding of relations between entities in your documents.\n\n1. Deactivate the trigger node in Step 1 and activate the trigger Chat node here\n2. Provide your API key at [https://infranodus.com/api-access](https://infranodus.com/api-access) to the HTTP agent tool\n3. Specify the same **name of the graph** as in the Step 1, so you query the graph where saved the files. \n4. If you connect several knowledge bases, make sure to describe them well, so the agent knows what to query. Get the description from the InfraNodus Graph > Project Notes > RAG enhancement"
},
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{
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"parameters": {
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"height": 380,
"content": "## [InfraNodus](https://infranodus.com) Knowledege Graph Example\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 - サポート, 人工知能
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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InfraNodus
@infranodusI'm Dmitry, the founder of InfraNodus — an AI text network analysis tool. I'm passionate about networks and data visualization and its ability to reveal what everyone else is missing and to highlight different perspectives. I'm sharing the n8n templates that make use of this unique capability of InfraNodus for multiple scenarios.
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