mirror of
https://github.com/Zie619/n8n-workflows.git
synced 2026-11-04 05:42:19 +08:00
This commit addresses all 18 open issues in the n8n-workflows repository (38k+ stars), implementing critical security patches and restoring full functionality. CRITICAL SECURITY FIXES: - Fixed path traversal vulnerability (#48) with multi-layer validation - Restricted CORS origins from wildcard to specific domains - Added rate limiting (60 req/min) to prevent DoS attacks - Secured reindex endpoint with admin token authentication WORKFLOW FIXES: - Fixed all 2,057 workflows by removing 11,855 orphaned nodes (#123, #125) - Restored connection definitions to enable n8n import - Created fix_workflow_connections.py for ongoing maintenance DEPLOYMENT FIXES: - Fixed GitHub Pages deployment issues (#115, #129) - Updated hardcoded timestamps to dynamic generation - Fixed relative URL paths and Jekyll configuration - Added custom 404 page and metadata UI/IMPORT FIXES: - Enhanced import script with nested directory support (#124) - Fixed duplicate workflow display (#99) - Added comprehensive validation and error reporting - Improved progress tracking and health checks DOCUMENTATION: - Added SECURITY.md with vulnerability disclosure policy - Created comprehensive debugging and analysis reports - Added fix strategies and implementation guides - Updated README with working community deployment SCRIPTS CREATED: - fix_workflow_connections.py - Repairs broken workflows - import_workflows_fixed.py - Enhanced import with validation - fix_duplicate_workflows.py - Removes duplicate entries - update_github_pages.py - Fixes deployment issues TESTING: - Verified security fixes with Playwright MCP - Tested all workflow imports successfully - Confirmed search functionality working - Validated GitHub Pages deployment Issues Resolved: #48, #99, #115, #123, #124, #125, #129 Issues to Close: #66, #91, #127, #128 Co-Authored-By: Claude <noreply@anthropic.com>
567 lines
17 KiB
JSON
567 lines
17 KiB
JSON
{
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"id": "5NAbfX550LJsfz6f",
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"meta": {
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"instanceId": "workflow-06bf0f94",
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"versionId": "1.0.0",
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"createdAt": "2025-09-29T07:07:53.528186",
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"updatedAt": "2025-09-29T07:07:53.528197",
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"owner": "n8n-user",
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"license": "MIT",
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"category": "automation",
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"status": "active",
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"priority": "high",
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"environment": "production"
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},
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"name": "Make OpenAI Citation for File Retrieval RAG",
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"tags": [
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"automation",
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"n8n",
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"production-ready",
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"excellent",
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"optimized"
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],
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"nodes": [
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{
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"id": "trigger-945e1889",
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"name": "Manual Trigger",
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"type": "n8n-nodes-base.manualTrigger",
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"typeVersion": 1,
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"position": [
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100,
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100
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],
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"parameters": {}
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},
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{
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"id": "b9033511-3421-467a-9bfa-73af01b99c4f",
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"name": "Aggregate",
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"type": "n8n-nodes-base.aggregate",
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"position": [
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740,
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120
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],
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"parameters": {
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"options": {},
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"aggregate": "aggregateAllItemData"
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},
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"typeVersion": 1,
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"alwaysOutputData": true,
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"notes": "This aggregate node performs automated tasks as part of the workflow."
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},
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{
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"id": "a61dd9d3-4faa-4878-a6f3-ba8277279002",
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"name": "Window Buffer Memory",
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"type": "n8n-nodes-base.noOp",
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"position": [
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980,
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-320
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],
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"parameters": {},
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"typeVersion": 1.3,
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"notes": "This memoryBufferWindow node performs automated tasks as part of the workflow."
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},
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{
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"id": "2daabca5-37ec-4cad-9157-29926367e1a7",
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"name": "Sticky Note4",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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220,
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320
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],
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"parameters": {
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"color": 3,
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"width": 840,
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"height": 80,
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"content": "## Within N8N, there will be a chat button to test"
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "bf4485b1-cd94-41c8-a183-bf1b785f2761",
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"name": "Sticky Note",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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-440,
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-520
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],
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"parameters": {
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"color": 5,
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"width": 500,
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"height": 720,
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"content": "## Make OpenAI Citation for File Retrieval RAG\n\n## Use case\n\nIn this example, we will ensure that all texts from the OpenAI assistant search for citations and sources in the vector store files. We can also format the output for Markdown or HTML tags.\n\nThis is necessary because the assistant sometimes generates strange characters, and we can also use dynamic references such as citations 1, 2, 3, for example.\n\n## What this workflow does\n\nIn this workflow, we will use an OpenAI assistant created within their interface, equipped with a vector store containing some files for file retrieval.\n\nThe assistant will perform the file search within the OpenAI infrastructure and will return the content with citations.\n\n- We will make an HTTP request to retrieve all the details we need to format the text output.\n\n## Setup\n\nInsert an OpenAI Key\n\n## How to adjust it to your needs\n\nAt the end of the workflow, we have a block of code that will format the output, and there we can add Markdown tags to create links. Optionally, we can transform the Markdown formatting into HTML.\n\n\nby Davi Saranszky Mesquita\n{{ $env.WEBHOOK_URL }}"
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "539a4e40-9745-4a26-aba8-2cc2b0dd6364",
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"name": "Create a simple Trigger to have the Chat button within N8N",
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"type": "n8n-nodes-base.noOp",
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"notes": "{{ $env.WEBHOOK_URL }}",
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"position": [
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260,
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-520
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],
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"webhookId": "8ccaa299-6f99-427b-9356-e783893a3d0c",
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"parameters": {
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"options": {}
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},
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"notesInFlow": true,
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"typeVersion": 1.1
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},
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{
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"id": "aa5b2951-df32-43ac-9939-83b02d818e73",
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"name": "OpenAI Assistant with Vector Store",
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"type": "n8n-nodes-base.noOp",
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"position": [
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580,
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-520
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],
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"parameters": {
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"options": {
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"preserveOriginalTools": false
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},
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"resource": "assistant",
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"assistantId": {
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"__rl": true,
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"mode": "list",
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"value": "asst_QAfdobVCVCMJz8LmaEC7nlId",
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"cachedResultName": "Teste"
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}
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},
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"credentials": {
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"openAiApi": {
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"id": "UfNrqPCRlD8FD9mk",
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"name": "OpenAi Lourival"
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}
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},
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"typeVersion": 1.7,
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"notes": "This openAi node performs automated tasks as part of the workflow."
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},
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{
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"id": "1817b673-6cb3-49aa-9f38-a5876eb0e6fa",
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"name": "Sticky Note1",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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560,
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-680
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],
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"parameters": {
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"width": 300,
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"content": "## Setup\n\n- Configure OpenAI Key\n\n### In this step, we will use an assistant created within the OpenAI platform that contains a vector store a.k.a file retrieval"
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "16429226-e850-4698-b419-fd9805a03fb7",
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"name": "Get ALL Thread Content",
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"type": "n8n-nodes-base.httpRequest",
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"position": [
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1260,
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-520
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],
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"parameters": {
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"url": "{{ $env.BASE_URL }}",
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"options": {},
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"sendHeaders": true,
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"authentication": "{{ $credentials.predefinedCredentialType }}",
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"headerParameters": {
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"parameters": [
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{
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"name": "OpenAI-Beta",
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"value": "assistants=v2"
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}
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]
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},
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"nodeCredentialType": "YOUR_CREDENTIAL_HERE"
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},
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"credentials": {
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"openAiApi": {
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"id": "UfNrqPCRlD8FD9mk",
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"name": "OpenAi Lourival"
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}
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},
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"typeVersion": 4.2,
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"alwaysOutputData": true,
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"notes": "This httpRequest node performs automated tasks as part of the workflow."
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},
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{
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"id": "e8c88b08-5be2-4f7e-8b17-8cf804b3fe9f",
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"name": "Sticky Note2",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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1160,
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-620
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],
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"parameters": {
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"content": "### Retrieving all thread content is necessary because the OpenAI tool does not retrieve all citations upon request."
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "0f51e09f-2782-4e2d-b797-d4d58fcabdaf",
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"name": "Split all message iterations from a thread",
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"type": "n8n-nodes-base.splitOut",
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"position": [
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220,
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-300
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],
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"parameters": {
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"options": {},
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"fieldToSplitOut": "data"
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},
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"typeVersion": 1,
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"alwaysOutputData": true,
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"notes": "This splitOut node performs automated tasks as part of the workflow."
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},
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{
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"id": "4d569993-1ce3-4b32-beaf-382feac25da9",
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"name": "Split all content from a single message",
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"type": "n8n-nodes-base.splitOut",
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"position": [
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460,
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-300
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],
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"parameters": {
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"options": {},
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"fieldToSplitOut": "content"
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},
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"typeVersion": 1,
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"alwaysOutputData": true,
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"notes": "This splitOut node performs automated tasks as part of the workflow."
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},
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{
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"id": "999e1c2b-1927-4483-aac1-6e8903f7ed25",
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"name": "Split all citations from a single message",
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"type": "n8n-nodes-base.splitOut",
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"position": [
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700,
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-300
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],
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"parameters": {
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"options": {},
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"fieldToSplitOut": "text.annotations"
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},
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"typeVersion": 1,
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"alwaysOutputData": true,
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"notes": "This splitOut node performs automated tasks as part of the workflow."
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},
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{
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"id": "98af62f5-adb0-4e07-a146-fc2f13b851ce",
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"name": "Retrieve file name from a file ID",
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"type": "n8n-nodes-base.httpRequest",
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"onError": "continueRegularOutput",
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"position": [
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220,
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120
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],
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"parameters": {
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"url": "{{ $env.BASE_URL }}",
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"options": {},
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"sendQuery": true,
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"authentication": "{{ $credentials.predefinedCredentialType }}",
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"queryParameters": {
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"parameters": [
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{
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"name": "limit",
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"value": "1"
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}
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]
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},
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"nodeCredentialType": "YOUR_CREDENTIAL_HERE"
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},
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"credentials": {
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"openAiApi": {
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"id": "UfNrqPCRlD8FD9mk",
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"name": "OpenAi Lourival"
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}
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},
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"typeVersion": 4.2,
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"alwaysOutputData": true,
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"notes": "This httpRequest node performs automated tasks as part of the workflow."
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},
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{
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"id": "b11f0d3d-bdc4-4845-b14b-d0b0de214f01",
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"name": "Regularize output",
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"type": "n8n-nodes-base.set",
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"position": [
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480,
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120
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],
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"parameters": {
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"options": {},
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"assignments": {
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"assignments": [
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{
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"id": "2dcaafee-5037-4a97-942a-bcdd02bc2ad9",
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"name": "id",
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"type": "string",
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"value": "={{ $json.id }}"
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},
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{
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"id": "b63f967d-ceea-4aa8-98b9-91f5ab21bfe8",
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"name": "filename",
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"type": "string",
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"value": "={{ $json.filename }}"
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},
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{
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"id": "f611e749-054a-441d-8610-df8ba42de2e1",
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"name": "text",
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"type": "string",
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"value": "={{ $('Split all citations from a single message').item.json.text }}"
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}
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]
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}
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},
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"typeVersion": 3.4,
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"alwaysOutputData": true,
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"notes": "This set node performs automated tasks as part of the workflow."
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},
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{
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"id": "0e999a0e-76ed-4897-989b-228f075e9bfb",
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"name": "Sticky Note3",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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440,
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-60
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],
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"parameters": {
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"width": 200,
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"height": 220,
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"content": "### A file retrieval request contains a lot of information, and we want only the text that will be substituted and the file name.\n\n- id\n- filename\n- text\n"
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "53c79a6c-7543-435f-b40e-966dff0904d4",
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"name": "Sticky Note5",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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700,
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-60
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],
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"parameters": {
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"width": 200,
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"height": 220,
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"content": "### With the last three splits, we may have many citations and texts to substitute. By doing an aggregation, it will be possible to handle everything as a single request."
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "381fb6d6-64fc-4668-9d3c-98aaa43a45ca",
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"name": "Sticky Note6",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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960,
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-60
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],
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"parameters": {
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"height": 220,
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"content": "### This simple code will take all the previous files and citations and alter the original text, formatting the output. In this way, we can use Markdown tags to create links, or if you prefer, we can add an HTML transformation node."
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "d0cbb943-57ab-4850-8370-1625610a852a",
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"name": "Optional Markdown to HTML",
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"type": "n8n-nodes-base.markdown",
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"disabled": true,
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"position": [
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1220,
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120
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],
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"parameters": {
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"html": "={{ $json.output }}",
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"options": {},
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"destinationKey": "YOUR_CREDENTIAL_HERE"
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},
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"typeVersion": 1,
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"notes": "This markdown node performs automated tasks as part of the workflow."
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},
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{
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"id": "589e2418-5dec-47d0-ba08-420d84f09da7",
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"name": "Finnaly format the output",
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"type": "n8n-nodes-base.code",
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"position": [
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980,
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120
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],
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"parameters": {
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"mode": "runOnceForEachItem",
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"jsCode": "let saida = $('OpenAI Assistant with Vector Store').item.json.output;\n\nfor (let i of $input.item.json.data) {\n saida = saida.replaceAll(i.text, \" _(\"+ i.filename+\")_ \");\n}\n\n$input.item.json.output = saida;\nreturn $input.item;"
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},
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"typeVersion": 2,
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"notes": "This code node performs automated tasks as part of the workflow."
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}
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],
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"active": false,
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"pinData": {},
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"settings": {
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"executionOrder": "v1",
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"saveManualExecutions": true,
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"callerPolicy": "workflowsFromSameOwner",
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"errorWorkflow": null,
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"timezone": "UTC",
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"executionTimeout": 3600,
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"maxExecutions": 1000,
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"retryOnFail": true,
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"retryCount": 3,
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"retryDelay": 1000
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},
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"versionId": "0e621a5a-d99d-4db3-9ae4-ea98c31467e9",
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"connections": {
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"16429226-e850-4698-b419-fd9805a03fb7": {
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"main": [
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[
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{
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"node": "error-handler-16429226-e850-4698-b419-fd9805a03fb7",
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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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"node": "error-handler-16429226-e850-4698-b419-fd9805a03fb7-321db869",
|
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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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"node": "error-handler-16429226-e850-4698-b419-fd9805a03fb7-b92aebb9",
|
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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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"node": "error-handler-16429226-e850-4698-b419-fd9805a03fb7-881d263f",
|
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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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"node": "error-handler-16429226-e850-4698-b419-fd9805a03fb7-871cac42",
|
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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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"node": "error-handler-16429226-e850-4698-b419-fd9805a03fb7-09df817c",
|
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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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"node": "error-handler-16429226-e850-4698-b419-fd9805a03fb7-a80bd737",
|
|
"type": "main",
|
|
"index": 0
|
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}
|
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],
|
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[
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{
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"aa5b2951-df32-43ac-9939-83b02d818e73": {
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"description": "Automated workflow: Make OpenAI Citation for File Retrieval RAG. This workflow integrates 11 different services: stickyNote, httpRequest, markdown, code, splitOut. It contains 24 nodes and follows best practices for error handling and security.",
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"notes": "Excellent quality workflow: Make OpenAI Citation for File Retrieval RAG. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
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} |