Mit PDF/MD/Textdateien via GraphRAG chatten (ohne Vektorspeicher)
Experte
Dies ist ein Support, AI-Bereich Automatisierungsworkflow mit 20 Nodes. Hauptsächlich werden Set, Switch, GoogleDrive, HttpRequest, ManualTrigger und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Mit PDF/MD/Textdateien über GraphRAG sprechen (ohne Vektorspeicherung)
Voraussetzungen
- •Google Drive API-Anmeldedaten
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
- •OpenAI API Key
Verwendete Nodes (20)
Kategorie
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
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"meta": {
"instanceId": "2a26454b0172ffcb8d70ba77c235b1209f92cd71bf06c79ba609c7173b416d68",
"templateCredsSetupCompleted": true
},
"name": "Chat with PDF / MD / Text Files using GraphRAG (no vector store needed)",
"tags": [
{
"id": "66wgFoDi9Xjl74M3",
"name": "Support",
"createdAt": "2025-05-21T17:06:32.355Z",
"updatedAt": "2025-05-21T17:06:32.355Z"
},
{
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"createdAt": "2025-05-21T19:44:19.136Z",
"updatedAt": "2025-05-21T19:44:19.136Z"
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{
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"name": "AI",
"createdAt": "2025-05-20T13:16:15.636Z",
"updatedAt": "2025-05-20T13:16:15.636Z"
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],
"nodes": [
{
"id": "011910a9-c2a0-49eb-b1eb-8043e0c2accc",
"name": "Google Drive durchsuchen",
"type": "n8n-nodes-base.googleDrive",
"position": [
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"parameters": {
"filter": {
"folderId": {
"__rl": true,
"mode": "list",
"value": "13tqp0SaI_v4jG1CFLAZo96isx-UBno4v",
"cachedResultUrl": "https://drive.google.com/drive/folders/13tqp0SaI_v4jG1CFLAZo96isx-UBno4v",
"cachedResultName": "GraphRAG"
}
},
"options": {},
"resource": "fileFolder",
"returnAll": true,
"queryString": "*"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "oz9iNMxcuQ2pxr1e",
"name": "Google Drive account"
}
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{
"id": "22872ac5-14e4-4ea7-b792-30e19a02cb88",
"name": "Elemente durchlaufen",
"type": "n8n-nodes-base.splitInBatches",
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"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "6456b7ac-f936-425a-a0ac-62fe118e985a",
"name": "Datei abrufen",
"type": "n8n-nodes-base.googleDrive",
"position": [
500,
-80
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "oz9iNMxcuQ2pxr1e",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "8c1f2da9-fff4-457d-bc2e-7c84de3500b3",
"name": "Schalter",
"type": "n8n-nodes-base.switch",
"position": [
740,
-20
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "pdf",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7b4e792b-ab6d-4b9b-88a1-d8e51bea6853",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "application/pdf"
}
]
},
"renameOutput": true
},
{
"outputKey": "text",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "09b7d7c5-5353-4719-b4e2-072e4da39948",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "text/plain"
}
]
},
"renameOutput": true
},
{
"outputKey": "md",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "cb2e6726-97d8-4541-8383-deafff9b18e6",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "text/markdown"
}
]
},
"renameOutput": true
},
{
"outputKey": "json",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
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"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "application/json"
}
]
},
"renameOutput": true
},
{
"outputKey": "docs",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "0d9b561f-89c5-479e-a4e2-1f5f05fa8417",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "csv",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "6b19deed-5d00-4796-bb9d-b4d87564a751",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "csv"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "fe133ad7-bd7a-43e2-91a7-4b3dd2652490",
"name": "Aus PDF extrahieren",
"type": "n8n-nodes-base.extractFromFile",
"position": [
1020,
-240
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "49f89141-a8ea-46c6-888d-cf9dafcc7c2a",
"name": "Aus Textdatei extrahieren",
"type": "n8n-nodes-base.extractFromFile",
"position": [
1020,
-60
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
},
{
"id": "a47d8f07-917e-44ed-a69e-5d6085981d36",
"name": "Aus Markdown extrahieren",
"type": "n8n-nodes-base.extractFromFile",
"position": [
1020,
140
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
},
{
"id": "a2298650-5408-45f8-accf-292ac669002a",
"name": "InfraNodus Save to Graph",
"type": "n8n-nodes-base.httpRequest",
"position": [
1480,
200
],
"parameters": {
"url": "https://infranodus.com/api/v1/graphAndStatements?doNotSave=false&includeGraph=false&includeGraphSummary=true&includeGraph=false",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "name",
"value": "graphrag_from_google_drive"
},
{
"name": "text",
"value": "={{ $json.data }}"
},
{
"name": "=categories",
"value": "=[filename: {{ $('Switch').item.json.name }}]"
},
{
"name": "contextSettings",
"value": "={{{ \"squareBracketsProcessing\":\"IGNORE_BRACKETS\"} }}"
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "FPDx6PA5CtzGEIQc",
"name": "InfraNodus DeeMeeTree API Key"
}
},
"typeVersion": 4.2
},
{
"id": "bb06d60a-01c7-4a1e-bc7a-901e1f7f175d",
"name": "Haftnotiz4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-560,
-480
],
"parameters": {
"color": 4,
"width": 2200,
"height": 980,
"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"
},
"typeVersion": 1
},
{
"id": "38707a4d-b397-43e7-b55c-da18a00bb480",
"name": "PDF zu Text konvertieren",
"type": "n8n-nodes-base.set",
"position": [
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-100
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "fd160009-0b92-46fc-9e34-a1283b810e91",
"name": "data",
"type": "string",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "49426e56-7d6c-4dc0-a279-348dea59cca2",
"name": "Datei zu PDF konvertieren",
"type": "n8n-nodes-base.httpRequest",
"disabled": true,
"position": [
1720,
200
],
"parameters": {
"url": "https://v2.convertapi.com/convert/pdf/to/txt",
"method": "POST",
"options": {
"response": {
"response": {
"responseFormat": "text"
}
}
},
"sendBody": true,
"contentType": "multipart-form-data",
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "file",
"parameterType": "formBinaryData",
"inputDataFieldName": "data"
}
]
},
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/octet-stream"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"id": "mDxLoJUWSmuTJsAC",
"name": "ConvertAPI"
}
},
"notesInFlow": true,
"typeVersion": 4.2
},
{
"id": "5d21b250-7b0f-4925-a858-5aa6badf5700",
"name": "Haftnotiz5",
"type": "n8n-nodes-base.stickyNote",
"position": [
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-340
],
"parameters": {
"color": 2,
"width": 360,
"height": 840,
"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"
},
"typeVersion": 1
},
{
"id": "ceda9ea4-963b-4ffb-a741-6e7eb3fc7411",
"name": "Bei Chat-Nachrichtenempfang",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"disabled": true,
"position": [
-520,
840
],
"webhookId": "a2cfd3b0-aaa4-4003-940d-e520e64830c6",
"parameters": {
"public": true,
"options": {
"title": "Talk to PDFs"
},
"initialMessages": "=Ask any question about the PDFs or write `/question` to generate an interesting question to discuss."
},
"typeVersion": 1.1
},
{
"id": "d78cf21e-753b-44d3-a2b4-493f85aa5129",
"name": "KI-Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-240,
840
],
"parameters": {
"options": {
"systemMessage": "You provide information about the topic of user's interest. Always use the knowledge base attached to get the final response. "
}
},
"typeVersion": 1.9
},
{
"id": "02497c8b-89d6-4440-bc4d-d3906b9c4872",
"name": "OpenAI-Chat-Modell",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-420,
1100
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "07wFa8Wa4mMRCHAj",
"name": "OpenAi account 2"
}
},
"typeVersion": 1.2
},
{
"id": "6d77fb59-fb03-4d22-ac40-4cf9bde25909",
"name": "Simple Speicher",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-260,
1100
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "978c8309-380d-4fc8-b238-e0d0148b77b9",
"name": "Knowledge Base GraphRAG",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
100,
1060
],
"parameters": {
"url": "https://infranodus.com/api/v1/graphAndAdvice?doNotSave=true&addStats=true&optimize=develop&includeStatements=true&includeGraphSummary=true&includeGraph=false",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "name",
"value": "graphrag_from_google_drive"
},
{
"name": "requestMode",
"value": "response"
},
{
"name": "prompt",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters2_Value', `User query to send to the expert`, 'string') }}"
},
{
"name": "aiTopics",
"value": "true"
}
]
},
"genericAuthType": "httpBearerAuth",
"toolDescription": "You contain knowledge on the topic of user's interst"
},
"credentials": {
"httpBearerAuth": {
"id": "6lSuuSDajZrvI2GM",
"name": "InfraNodus API Key"
}
},
"typeVersion": 4.2
},
{
"id": "b005f83d-3d4a-42c8-b70a-63e267747fcd",
"name": "Haftnotiz",
"type": "n8n-nodes-base.stickyNote",
"position": [
-560,
540
],
"parameters": {
"width": 2200,
"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"
},
"typeVersion": 1
},
{
"id": "6a6ad150-670d-45d5-a69e-0bafaf8f2ac4",
"name": "Zum Dokumentenimport 'Test workflow' klicken",
"type": "n8n-nodes-base.manualTrigger",
"position": [
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-120
],
"parameters": {},
"typeVersion": 1
},
{
"id": "0a148a3f-e898-4f83-9ebb-82da7f3f4633",
"name": "Haftnotiz1",
"type": "n8n-nodes-base.stickyNote",
"position": [
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100
],
"parameters": {
"width": 680,
"height": 380,
"content": "## [InfraNodus](https://infranodus.com) Knowledege Graph Example\n\n"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "90ea1bad-6d21-4f20-81b4-0ba48cc7e7fa",
"connections": {
"Switch": {
"main": [
[
{
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"type": "main",
"index": 0
}
],
[
{
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[
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}
],
[],
[]
]
},
"6456b7ac-f936-425a-a0ac-62fe118e985a": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "d78cf21e-753b-44d3-a2b4-493f85aa5129",
"type": "ai_memory",
"index": 0
}
]
]
},
"22872ac5-14e4-4ea7-b792-30e19a02cb88": {
"main": [
[],
[
{
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"type": "main",
"index": 0
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},
"38707a4d-b397-43e7-b55c-da18a00bb480": {
"main": [
[
{
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[
{
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]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "d78cf21e-753b-44d3-a2b4-493f85aa5129",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"011910a9-c2a0-49eb-b1eb-8043e0c2accc": {
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"type": "main",
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},
"a47d8f07-917e-44ed-a69e-5d6085981d36": {
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[
{
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},
"49f89141-a8ea-46c6-888d-cf9dafcc7c2a": {
"main": [
[
{
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"type": "main",
"index": 0
}
]
]
},
"978c8309-380d-4fc8-b238-e0d0148b77b9": {
"ai_tool": [
[
{
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"type": "ai_tool",
"index": 0
}
]
]
},
"a2298650-5408-45f8-accf-292ac669002a": {
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[
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},
"ceda9ea4-963b-4ffb-a741-6e7eb3fc7411": {
"main": [
[
{
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"6a6ad150-670d-45d5-a69e-0bafaf8f2ac4": {
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}
}Häufig gestellte Fragen
Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Support, Künstliche Intelligenz
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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46 NodesImmanuel
Support
AI Chatbot Agent: Expertengruppe mit InfraNodus GraphRAG-Wissensgraph
Expertengruppen-AI-Chatbot-Agent, der InfraNodus GraphRAG-Wissensgraphentechnologie nutzt
Agent
Http Request Tool
Chat Trigger
+
Agent
Http Request Tool
Chat Trigger
14 NodesInfraNodus
Support
KI-gesteuerte RAG-Dokumentenverarbeitung und Chatbot - Google Drive, Supabase, OpenAI
KI-gesteuerte RAG-Dokumentenverarbeitung und Chatbot basierend auf Google Drive, Supabase und OpenAI
Set
Code
Limit
+
Set
Code
Limit
35 NodesBilly Christi
Künstliche Intelligenz
Workflow-Informationen
Schwierigkeitsgrad
Experte
Anzahl der Nodes20
Kategorie2
Node-Typen13
Autor
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.
Externe Links
Auf n8n.io ansehen →
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