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https://github.com/thecyberlearn/netcop-ai.git
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c897baffd5
- Add PDF data analyzer configuration and data files - Include social ads HTML template - Add workflow template for project setup 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
316 lines
9.3 KiB
JSON
316 lines
9.3 KiB
JSON
{
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"name": "pdf_data_analyzer",
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"nodes": [
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{
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"parameters": {
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"content": "## Error Handling\n\nIf processing fails, the workflow will return an error response with details about what went wrong.",
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"height": 120,
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"width": 280
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},
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"id": "03452a38-11bc-40e4-abfd-66a3b2d28d10",
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"name": "Error Info",
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"type": "n8n-nodes-base.stickyNote",
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"typeVersion": 1,
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"position": [
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560,
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2840
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]
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},
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{
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"parameters": {
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"jsCode": "// Handle any errors that occur during processing\nconst error = $input.item(0).json.error || 'Unknown error occurred';\n\nreturn {\n json: {\n status: 'error',\n error_message: error,\n timestamp: new Date().toISOString(),\n help: 'Make sure you are uploading a valid PDF file using the \"file\" form field'\n }\n};"
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},
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"position": [
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-1000,
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2360
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],
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"id": "9888231c-5de1-4160-a53c-a951ca30417d",
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"name": "Error Handler"
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},
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{
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"parameters": {
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"content": "## Simple PDF Processor\n\n**Purpose:** Upload PDF → Extract Text → AI Analysis → JSON Response\n\n**Usage:**\n```bash\ncurl -X POST https://your-n8n.com/webhook/simple-pdf-processor \\\n -F \"file=@document.pdf\"\n```\n\n**Response:** AI analysis of PDF content in JSON format",
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"height": 280,
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"width": 350
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},
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"id": "cb3831b1-8b8f-4726-991f-0de535bbdc9c",
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"name": "Workflow Overview1",
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"type": "n8n-nodes-base.stickyNote",
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"typeVersion": 1,
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"position": [
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-740,
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2500
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]
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},
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{
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"parameters": {
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"respondWith": "json",
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"responseBody": "={{$('Error Handler').item.json}}",
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"options": {}
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},
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"type": "n8n-nodes-base.respondToWebhook",
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"typeVersion": 1,
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"position": [
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-780,
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2360
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],
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"id": "6603a971-fb15-41a3-b5b9-001bb13305ad",
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"name": "Return Error Response1"
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},
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{
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"parameters": {
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"jsCode": "// Simple PDF file preparation\nconst items = $input.all();\n\nif (!items || items.length === 0) {\n throw new Error('No input data received');\n}\n\nconst item = items[0];\nconsole.log('Processing PDF upload...');\n\n// Check if we have binary data\nif (!item.binary || !item.binary.file) {\n throw new Error('No PDF file found in upload. Make sure to use \"file\" as the form field name.');\n}\n\nconst fileData = item.binary.file;\nconst fileName = fileData.fileName || 'uploaded.pdf';\nconst fileSize = fileData.fileSize || 0;\n\nconsole.log(`File: ${fileName}, Size: ${fileSize} bytes`);\n\n// Prepare data for PDF extraction\nreturn {\n json: {\n filename: fileName,\n fileSize: fileSize,\n uploadedAt: new Date().toISOString(),\n status: 'ready_for_processing'\n },\n binary: {\n // Use the key expected by extractFromFile node\n 'pdf_file': fileData\n }\n};"
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},
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"position": [
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100,
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2040
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],
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"id": "93f3dc69-190e-4c32-8175-e9d098873e8e",
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"name": "Prepare PDF Data"
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},
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{
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"parameters": {
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"jsCode": "// Ultra-simple n8n formatting code\nconst items = $input.all();\nconst text = items[0].json.text;\n\n// Split by headings and format\nconst sections = text.split('### ').filter(part => part.trim());\n\nconst formatted = sections.map(section => {\n const lines = section.trim().split('\\n');\n const heading = lines[0];\n const content = lines.slice(1).join('\\n');\n \n return {\n heading: heading,\n content: content\n };\n});\n\nreturn [{\n json: {\n sections: formatted,\n timestamp: new Date().toISOString()\n }\n}];"
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},
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"position": [
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],
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"id": "5b160fd8-0a8b-4494-9935-7d9bf7db880f",
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"name": "Format Response"
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},
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{
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"parameters": {
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"respondWith": "json",
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"responseBody": "={{$('Format Response').item.json}}",
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"options": {
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"responseHeaders": {
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"entries": [
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{
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"name": "Content-Type",
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"value": "application/json"
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}
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]
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}
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}
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},
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"type": "n8n-nodes-base.respondToWebhook",
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"typeVersion": 1,
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"position": [
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1136,
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2040
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],
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"id": "1bc45e3e-b86b-4a7d-9970-e8464d09f9a1",
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"name": "Return JSON Response"
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},
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{
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"parameters": {
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"httpMethod": "POST",
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"path": "simple-pdf-processor",
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"responseMode": "responseNode",
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"options": {}
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},
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"type": "n8n-nodes-base.webhook",
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"typeVersion": 2,
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"position": [
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-120,
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2040
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],
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"id": "c380ce52-58c5-4c38-946b-7e86a2c645c3",
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"name": "PDF Upload Webhook1",
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"webhookId": "simple-pdf-processor"
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},
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{
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"parameters": {
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"operation": "pdf",
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"binaryPropertyName": "pdf_file",
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"options": {}
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},
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"type": "n8n-nodes-base.extractFromFile",
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"typeVersion": 1,
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"position": [
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320,
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2040
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],
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"id": "bcd3c33b-5376-43b6-9312-3570fb2799ca",
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"name": "Extract PDF Text1"
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},
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{
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"parameters": {
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"promptType": "define",
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"text": "={{ $json.text }}",
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"messages": {
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"messageValues": [
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{
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"type": "AIMessagePromptTemplate",
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"message": "You are a helpful document analysis assistant. Analyze the provided PDF text content and provide useful insights."
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},
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{
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"message": "Please analyze this PDF document and provide:\n\n1. **Summary**: A brief overview of the document content\n2. **Key Points**: Main topics or important information found\n3. **Document Type**: What type of document this appears to be\n4. **Insights**: Any notable findings or analysis\n\nDocument text to analyze:\n{{ $json.text }}\n\nPlease provide your analysis in a clear, structured format."
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}
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]
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},
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"batching": {}
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},
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"type": "@n8n/n8n-nodes-langchain.chainLlm",
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"typeVersion": 1.7,
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"position": [
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540,
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2040
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],
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"id": "76ac82c9-1843-4ebe-98f7-bdd9b45d3610",
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"name": "AI Document Analyzer1"
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},
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{
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"parameters": {
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"model": "llama-3.3-70b-versatile",
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"options": {
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"maxTokensToSample": 2000,
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"temperature": 0.3
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}
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},
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"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
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"typeVersion": 1,
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"position": [
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],
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"id": "d3fce174-1ef1-4b0f-84f3-477c49a80840",
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"name": "Groq Chat Model1",
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"credentials": {
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"groqApi": {
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"id": "9HviwDANITBPqb1I",
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"name": "Groq account"
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}
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}
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},
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{
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"parameters": {
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"formTitle": "FIle Upload",
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"formFields": {
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"values": [
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{
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"fieldLabel": "file",
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"fieldType": "file",
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"multipleFiles": false
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}
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]
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},
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"options": {}
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},
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"type": "n8n-nodes-base.formTrigger",
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"typeVersion": 2.2,
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"position": [
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-120,
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2400
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],
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"id": "de020e99-cde6-4575-afb0-c568fe0e5d63",
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"name": "On form submission",
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"webhookId": "98b18862-a0e7-4760-9c5e-8fcaef9e2904"
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}
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],
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"pinData": {},
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"connections": {
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"Error Handler": {
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"main": [
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[
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{
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"node": "Return Error Response1",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Prepare PDF Data": {
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"main": [
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[
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{
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"node": "Extract PDF Text1",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Format Response": {
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"main": [
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[
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{
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"node": "Return JSON Response",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"PDF Upload Webhook1": {
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"main": [
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[
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{
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"node": "Prepare PDF Data",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Extract PDF Text1": {
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"main": [
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[
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{
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"node": "AI Document Analyzer1",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"AI Document Analyzer1": {
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"main": [
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[
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{
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"node": "Format Response",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Groq Chat Model1": {
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"ai_languageModel": [
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[
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{
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"node": "AI Document Analyzer1",
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"type": "ai_languageModel",
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"index": 0
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}
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]
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]
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}
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},
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"active": true,
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"settings": {
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"executionOrder": "v1"
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},
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"versionId": "bbc54db8-5559-4e50-ac33-01638aa0eec0",
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"meta": {
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"templateCredsSetupCompleted": true,
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"instanceId": "b419dceeef095c7882b7f3bc7ba03f620c77ec1f3d9d0518174b97d631dd49fa"
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},
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"id": "52D41BRLEfcyh22J",
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"tags": [
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{
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"createdAt": "2025-07-01T13:54:51.754Z",
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"updatedAt": "2025-07-01T13:54:51.754Z",
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"id": "2ji4EAexY8bmiTeM",
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"name": "AI Agent"
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}
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]
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} |