{ "id": "5wnJMLkwYeOXdFkE", "meta": { "templateCredsSetupCompleted": true }, "name": "Generate Content Ideas from PDF Documents using GraphRAG", "tags": [ { "id": "66wgFoDi9Xjl74M3", "name": "Support", "createdAt": "2025-05-21T17:06:32.355Z", "updatedAt": "2025-05-21T17:06:32.355Z" }, { "id": "kRM0hQV2zw7VxrON", "name": "Research", "createdAt": "2025-05-21T19:44:19.136Z", "updatedAt": "2025-05-21T19:44:19.136Z" }, { "id": "sJk9cUvmMU8FkJXv", "name": "AI", "createdAt": "2025-05-20T13:16:15.636Z", "updatedAt": "2025-05-20T13:16:15.636Z" } ], "nodes": [ { "id": "212126f1-2a06-4211-814d-6b5a46df31ad", "name": "Convert File to PDF", "type": "n8n-nodes-base.httpRequest", "disabled": true, "position": [ 1880, 180 ], "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": { "name": "" } }, "notesInFlow": true, "typeVersion": 4.2 }, { "id": "d0a606d8-c62e-42aa-8d82-e9adcc33f5f5", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 1840, -400 ], "parameters": { "color": 2, "width": 360, "height": 820, "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 \"Extract Text from PDF\" node in Step 3 with this node. \n\nNote that you will need to map the text output from this node correctly in the Step 4 after.\n" }, "typeVersion": 1 }, { "id": "f31d316f-d10a-47a4-b715-635cd58b996d", "name": "On form submission", "type": "n8n-nodes-base.formTrigger", "position": [ -380, -60 ], "parameters": { "options": { "appendAttribution": false }, "formTitle": "Find Content Gaps in Your PDF Files", "formFields": { "values": [ { "fieldType": "file", "fieldLabel": "Add Your Files", "acceptFileTypes": ".pdf" } ] }, "formDescription": "Upload the files you'd like to analyze and we will extract content gaps and interesting questions based on them." }, "typeVersion": 2.2 }, { "id": "56bae190-80e7-4fff-a06c-ee9ac74e5262", "name": "InfraNodus AI Questions", "type": "n8n-nodes-base.httpRequest", "disabled": true, "position": [ 960, 200 ], "parameters": { "url": "https://infranodus.com/api/v1/graphAndAdvice?doNotSave=true&optimize=develop&includeGraph=false&includeGraphSummary=true&gapDepth={{ $json.randomNum }}", "method": "POST", "options": {}, "sendBody": true, "authentication": "genericCredentialType", "bodyParameters": { "parameters": [ { "name": "aiTopics", "value": "true" }, { "name": "requestMode", "value": "question" }, { "name": "text", "value": "={{ $json.text }}" } ] }, "genericAuthType": "httpBearerAuth" }, "credentials": { "httpBearerAuth": { "name": "" } }, "typeVersion": 4.2 }, { "id": "d546371b-c109-4273-9fb8-8abc5b89c4c1", "name": "Convert binary files to PDF", "type": "n8n-nodes-base.code", "position": [ -60, -60 ], "parameters": { "jsCode": "let results = [];\n\nfor (let item of items) {\n if (item.binary) {\n // If there's binary data in the item, process each binary file\n for (let key in item.binary) {\n // Use the key as the file name\n let binaryKey = key.replace(/\\s/g, '_'); // Replace spaces with underscores for the key\n results.push({\n json: {\n fileName: binaryKey\n },\n binary: {\n [binaryKey]: item.binary[key] // Use the modified key for the binary data\n }\n });\n }\n }\n}\n\nreturn results;\n" }, "typeVersion": 2 }, { "id": "e4b0147b-c49e-4acc-90e8-976d6e0b177b", "name": "Extract text from PDF files", "type": "n8n-nodes-base.extractFromFile", "position": [ 280, -60 ], "parameters": { "options": {}, "operation": "pdf", "binaryPropertyName": "={{ $json.fileName }}" }, "typeVersion": 1 }, { "id": "404f2c2b-0e97-4b49-96d4-16cb23c1d82e", "name": "Prepare for InfraNodus", "type": "n8n-nodes-base.code", "position": [ 580, -60 ], "parameters": { "jsCode": "\nlet plainText = '' // we send plain text from all the PDFs to InfraNodus for analysis\n\nconst randomNum = Math.floor(Math.random() * 3); // replace this with a 0 if you'd like to address the biggest gap in the knowledge graph\n\nfor (let item of items) {\n plainText += item.json.text + '\\n\\n' \n}\n\n\nreturn {text: plainText, randomNum};" }, "typeVersion": 2 }, { "id": "8d12370c-aa4a-41ad-a3dc-39090779abd0", "name": "Display on the Form to the User", "type": "n8n-nodes-base.form", "position": [ 1380, -60 ], "parameters": { "operation": "completion", "respondWith": "showText", "responseText": "=
\n

{{ $json.aiAdvice[0].text }}

\n
\n" }, "typeVersion": 1 }, { "id": "d4b56485-ae4f-40a6-a69e-6362fa224cc5", "name": "InfraNodus GraphRAG AI Advice", "type": "n8n-nodes-base.httpRequest", "position": [ 960, 0 ], "parameters": { "url": "=https://infranodus.com/api/v1/graphAndAdvice?doNotSave=true&optimize=develop&includeGraph=false&includeGraphSummary=true&gapDepth={{ $json.randomNum }}", "method": "POST", "options": {}, "sendBody": true, "authentication": "genericCredentialType", "bodyParameters": { "parameters": [ { "name": "aiTopics", "value": "true" }, { "name": "requestMode", "value": "idea" }, { "name": "text", "value": "={{ $json.text }}" } ] }, "genericAuthType": "httpBearerAuth" }, "credentials": { "httpBearerAuth": { "name": "" } }, "typeVersion": 4.2 }, { "id": "30da3a64-5020-44fb-8e56-38b68e66d342", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -420, -400 ], "parameters": { "height": 520, "content": "## Step 1: User uploads the PDF files for analysis\n\n### You can expose this endpoint and make it publicly available via a URL to your organization." }, "typeVersion": 1 }, { "id": "90c0fb6f-cc11-43c7-bc06-2794968204ee", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -120, -400 ], "parameters": { "width": 280, "height": 520, "content": "## Step 2: Convert uploaded binaries into PDF files\n\n### We need to convert the binaries uploaded to the PDF files so we can extract text from them." }, "typeVersion": 1 }, { "id": "96d48573-5cb9-4ebe-8c64-ba7e14113a2e", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 220, -400 ], "parameters": { "width": 220, "height": 520, "content": "## Step 3: Extract plain text from PDF files\n\n### For better quality text extraction, you can use the optional [ConvertAPI](https://convertapi.com?ref=4l54n) node to the right, which respects the files' original formatting." }, "typeVersion": 1 }, { "id": "8f1fcffa-1738-4e84-9552-742bb563ab9d", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 520, -400 ], "parameters": { "width": 220, "height": 520, "content": "## Step 4: Combine extracted text into a text string\n\n### Prepare data for InfraNodus: combine all the extracted text into a text string and also tell InfraNodus the gap depth it should use when generating advice" }, "typeVersion": 1 }, { "id": "945f7df6-2b1e-44e9-ba89-0acf52b4b26e", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 820, -400 ], "parameters": { "width": 380, "height": 820, "content": "## Step 5: Use InfraNodus GraphRAG to Find a Content Gap and Generate Advice\n\n### Optionally, you can use the node below to generate questions (AI prompts) instead of ready-made ideas. These may be more interesting if you'd like to integrate this template into your existing research workflow.\n\n\ud83d\udea8 PROVIDE YOUR INFRANODUS API KEY HERE" }, "typeVersion": 1 }, { "id": "3ffd5445-7e0b-43b5-85ab-790407ece21b", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ 1280, -400 ], "parameters": { "width": 380, "height": 820, "content": "## Step 6: Show advice / question / prompt to the user\n\n### Optionally, you can feed the response to your other n8n workflow or expose it via a webhook and show it in your own app using an iframe." }, "typeVersion": 1 }, { "id": "9320b872-4eea-4b70-942f-ec2688d250de", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ -420, 180 ], "parameters": { "color": 5, "width": 1160, "height": 1000, "content": "# Find content gaps in PDF documents using the InfraNodus GraphRAG\n\n## How does the [InfraNodus](https://infranodus.com) GraphRAG work?\n\n### 1. It represents your text as a network of concepts and relations\n\n### 2. It then identifies the clusters that are furthest apart from each other \u2014 they appear in the same context (your texts) but are not well connected\n\n### 3. InfraNodus will then use the AI to generate an idea / question / prompt that bridges this gap \u2014 touching upon relevant topics but connecting them in a new way\n\n![structural gap infranodus](https://infranodus.com/images/front/infranodus-structural-gaps-ideas.jpg)" }, "typeVersion": 1 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "4cacd2c9-73cf-433d-ab20-a1226355c502", "connections": { "On form submission": { "main": [ [ { "node": "Convert binary files to PDF", "type": "main", "index": 0 } ] ] }, "Prepare for InfraNodus": { "main": [ [ { "node": "InfraNodus GraphRAG AI Advice", "type": "main", "index": 0 } ] ] }, "Convert binary files to PDF": { "main": [ [ { "node": "Extract text from PDF files", "type": "main", "index": 0 } ] ] }, "Extract text from PDF files": { "main": [ [ { "node": "Prepare for InfraNodus", "type": "main", "index": 0 } ] ] }, "InfraNodus GraphRAG AI Advice": { "main": [ [ { "node": "Display on the Form to the User", "type": "main", "index": 0 } ] ] } } }