InfraNodus This workflow corresponds to n8n.io template #5720 — we link there as the canonical source.
This workflow follows the Form → Form Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"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": "<your credential>"
}
},
"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": "<your credential>"
}
},
"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": "=<br>\n<h3>{{ $json.aiAdvice[0].text }}</h3>\n<br>\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": "<your credential>"
}
},
"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"
},
"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
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
httpBearerAuth
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This template can be used to find the content gaps in PDF documents using the InfraNodus knowledge graph / GraphRAG text representation and then generate ideas / questions / AI prompts that bridge those gaps based on optimizing the knowledge graph's structure.
Source: https://n8n.io/workflows/5720/ — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
This workflow is ideal for content creators, video marketers, and research professionals who need to extract actionable insights, detailed transcripts, or metadata from YouTube videos efficiently. It
HTTP Request, Google Drive, Gmail +2
Legal, Procurement, and Compliance teams at mid-size companies. ESN and agencies selling AI-powered contract review as a service.
Form Trigger, HTTP Request, Form +4
This template is designed for filmmakers, content creators, social media managers, and AI developers who want to harness OpenAI's Sora 2 for creating physically accurate, cinematic videos with synchro
HTTP Request, Form Trigger, Form +1
This template processes a CSV of questions and returns an enriched CSV with RAG-based answers produced by your Lookio assistant.
Form Trigger, Form, HTTP Request
This workflow is a user-friendly tool that automates the creation of high-quality advertising images for products. It takes a simple product image uploaded by a user and uses AI to transform it into a
Form Trigger, Form, HTTP Request