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zie619andClaude 5ffee225b7 Fix: Comprehensive resolution of 18 issues including critical security fixes 
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>
2025-11-03 11:35:01 +02:00

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{
"id": "a58HZKwcOy7lmz56",
"meta": {
"instanceId": "workflow-6fc13fb0",
"versionId": "1.0.0",
"createdAt": "2025-09-29T07:07:54.462282",
"updatedAt": "2025-09-29T07:07:54.462290",
"owner": "n8n-user",
"license": "MIT",
"category": "automation",
"status": "active",
"priority": "high",
"environment": "production"
},
"name": "Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI",
"tags": [
"automation",
"n8n",
"production-ready",
"excellent",
"optimized"
],
"nodes": [
{
"id": "06a34e3b-519a-4b48-afd0-4f2b51d2105d",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
4980,
740
],
"parameters": {},
"typeVersion": 1,
"notes": "This manualTrigger node performs automated tasks as part of the workflow."
},
{
"id": "9213003d-433f-41ab-838b-be93860261b2",
"name": "GitHub",
"type": "n8n-nodes-base.github",
"position": [
5200,
740
],
"parameters": {
"owner": {
"__rl": true,
"mode": "name",
"value": "mrscoopers"
},
"filePath": "Top_1000_IMDB_movies.csv",
"resource": "file",
"operation": "get",
"repository": {
"__rl": true,
"mode": "list",
"value": "n8n_demo",
"cachedResultUrl": "{{ $env.WEBHOOK_URL }}",
"cachedResultName": "n8n_demo"
},
"additionalParameters": {}
},
"credentials": {
"githubApi": {
"id": "VbfC0mqEq24vPIwq",
"name": "GitHub n8n demo"
}
},
"typeVersion": 1,
"notes": "This github node performs automated tasks as part of the workflow."
},
{
"id": "9850d1a9-3a6f-44c0-9f9d-4d20fda0b602",
"name": "Extract from File",
"type": "n8n-nodes-base.extractFromFile",
"position": [
5360,
740
],
"parameters": {
"options": {}
},
"typeVersion": 1,
"notes": "This extractFromFile node performs automated tasks as part of the workflow."
},
{
"id": "7704f993-b1c9-477a-8b5a-77dc2cb68161",
"name": "Embeddings OpenAI",
"type": "n8n-nodes-base.noOp",
"position": [
5560,
940
],
"parameters": {
"model": "text-embedding-3-small",
"options": {}
},
"credentials": {
"openAiApi": {
"id": "deYJUwkgL1Euu613",
"name": "OpenAi account 2"
}
},
"typeVersion": 1,
"notes": "This embeddingsOpenAi node performs automated tasks as part of the workflow."
},
{
"id": "bc6dd8e5-0186-4bf9-9c60-2eab6d9b6520",
"name": "Default Data Loader",
"type": "n8n-nodes-base.noOp",
"position": [
5700,
960
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "movie_name",
"value": "={{ $('Extract from File').item.json['Movie Name'] }}"
},
{
"name": "movie_release_date",
"value": "={{ $('Extract from File').item.json['Year of Release'] }}"
},
{
"name": "movie_description",
"value": "={{ $('Extract from File').item.json.Description }}"
}
]
}
},
"jsonData": "={{ $('Extract from File').item.json.Description }}",
"jsonMode": "expressionData"
},
"typeVersion": 1,
"notes": "This documentDefaultDataLoader node performs automated tasks as part of the workflow."
},
{
"id": "f87ea014-fe79-444b-88ea-0c4773872b0a",
"name": "Token Splitter",
"type": "n8n-nodes-base.noOp",
"position": [
5700,
1140
],
"parameters": {},
"typeVersion": 1,
"notes": "This textSplitterTokenSplitter node performs automated tasks as part of the workflow."
},
{
"id": "d8d28cec-c8e8-4350-9e98-cdbc6da54988",
"name": "Qdrant Vector Store",
"type": "n8n-nodes-base.noOp",
"position": [
5600,
740
],
"parameters": {
"mode": "insert",
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "imdb"
}
},
"credentials": {
"qdrantApi": {
"id": "Zin08PA0RdXVUKK7",
"name": "QdrantApi n8n demo"
}
},
"typeVersion": 1,
"notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow."
},
{
"id": "f86e03dc-12ea-4929-9035-4ec3cf46e300",
"name": "When chat message received",
"type": "n8n-nodes-base.noOp",
"position": [
4920,
1140
],
"webhookId": "71bfe0f8-227e-466b-9d07-69fd9fe4a27b",
"parameters": {
"options": {}
},
"typeVersion": 1.1,
"notes": "This chatTrigger node performs automated tasks as part of the workflow."
},
{
"id": "ead23ef6-2b6b-428d-b412-b3394bff8248",
"name": "OpenAI Chat Model",
"type": "n8n-nodes-base.noOp",
"position": [
5040,
1340
],
"parameters": {
"model": "gpt-4o-mini",
"options": {}
},
"credentials": {
"openAiApi": {
"id": "deYJUwkgL1Euu613",
"name": "OpenAi account 2"
}
},
"typeVersion": 1,
"notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."
},
{
"id": "7ab936e1-aac8-43bc-a497-f2d02c2c19e5",
"name": "Call n8n Workflow Tool",
"type": "n8n-nodes-base.noOp",
"position": [
5320,
1340
],
"parameters": {
"name": "movie_recommender",
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "a58HZKwcOy7lmz56"
},
"description": "Call this tool to get a list of recommended movies from a vector database. ",
"inputSchema": "{\n\"type\": \"object\",\n\"properties\": {\n\t\"positive_example\": {\n \"type\": \"string\",\n \"description\": \"A string with a movie description matching the user's positive recommendation request\"\n },\n \"negative_example\": {\n \"type\": \"string\",\n \"description\": \"A string with a movie description matching the user's negative anti-recommendation reuqest\"\n }\n}\n}",
"specifyInputSchema": true
},
"typeVersion": 1.2,
"notes": "This toolWorkflow node performs automated tasks as part of the workflow."
},
{
"id": "ce55f334-698b-45b1-9e12-0eaa473187d4",
"name": "Window Buffer Memory",
"type": "n8n-nodes-base.noOp",
"position": [
5160,
1340
],
"parameters": {},
"typeVersion": 1.2,
"notes": "This memoryBufferWindow node performs automated tasks as part of the workflow."
},
{
"id": "41c1ee11-3117-4765-98fc-e56cc6fc8fb2",
"name": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
5640,
1600
],
"parameters": {},
"typeVersion": 1,
"notes": "This executeWorkflowTrigger node performs automated tasks as part of the workflow."
},
{
"id": "db8d6ab6-8cd2-4a8c-993d-f1b7d7fdcffd",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
6540,
1500
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineAll"
},
"typeVersion": 3,
"notes": "This merge node performs automated tasks as part of the workflow."
},
{
"id": "c7bc5e04-22b1-40db-ba74-1ab234e51375",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
7260,
1480
],
"parameters": {
"options": {},
"fieldToSplitOut": "result"
},
"typeVersion": 1,
"notes": "This splitOut node performs automated tasks as part of the workflow."
},
{
"id": "a2002d2e-362a-49eb-a42d-7b665ddd67a0",
"name": "Split Out1",
"type": "n8n-nodes-base.splitOut",
"position": [
7140,
1260
],
"parameters": {
"options": {},
"fieldToSplitOut": "result.points"
},
"typeVersion": 1,
"notes": "This splitOut node performs automated tasks as part of the workflow."
},
{
"id": "f69a87f1-bfb9-4337-9350-28d2416c1580",
"name": "Merge1",
"type": "n8n-nodes-base.merge",
"position": [
7520,
1400
],
"parameters": {
"mode": "combine",
"options": {},
"fieldsToMatchString": "id"
},
"typeVersion": 3,
"notes": "This merge node performs automated tasks as part of the workflow."
},
{
"id": "b2f2529e-e260-4d72-88ef-09b804226004",
"name": "Aggregate",
"type": "n8n-nodes-base.aggregate",
"position": [
7960,
1400
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "response"
},
"typeVersion": 1,
"notes": "This aggregate node performs automated tasks as part of the workflow."
},
{
"id": "bedea10f-b4de-4f0e-9d60-cc8117a2b328",
"name": "AI Agent",
"type": "n8n-nodes-base.noOp",
"position": [
5140,
1140
],
"parameters": {
"options": {
"systemMessage": "You are a Movie Recommender Tool using a Vector Database under the hood. Provide top-3 movie recommendations returned by the database, ordered by their recommendation score, but not showing the score to the user."
}
},
"typeVersion": 1.6,
"notes": "This agent node performs automated tasks as part of the workflow."
},
{
"id": "e04276b5-7d69-437b-bf4f-9717808cc8f6",
"name": "Embedding Recommendation Request with Open AI",
"type": "n8n-nodes-base.httpRequest",
"position": [
5900,
1460
],
"parameters": {
"url": "{{ $env.API_BASE_URL }}",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "{{ $credentials.predefinedCredentialType }}",
"bodyParameters": {
"parameters": [
{
"name": "input",
"value": "={{ $json.query.positive_example }}"
},
{
"name": "model",
"value": "text-embedding-3-small"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer $OPENAI_API_KEY"
}
]
},
"nodeCredentialType": "YOUR_CREDENTIAL_HERE"
},
"credentials": {
"openAiApi": {
"id": "deYJUwkgL1Euu613",
"name": "OpenAi account 2"
}
},
"typeVersion": 4.2,
"notes": "This httpRequest node performs automated tasks as part of the workflow."
},
{
"id": "68e99f06-82f5-432c-8b31-8a1ae34981a6",
"name": "Embedding Anti-Recommendation Request with Open AI",
"type": "n8n-nodes-base.httpRequest",
"position": [
5920,
1660
],
"parameters": {
"url": "{{ $env.API_BASE_URL }}",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "{{ $credentials.predefinedCredentialType }}",
"bodyParameters": {
"parameters": [
{
"name": "input",
"value": "={{ $json.query.negative_example }}"
},
{
"name": "model",
"value": "text-embedding-3-small"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer $OPENAI_API_KEY"
}
]
},
"nodeCredentialType": "YOUR_CREDENTIAL_HERE"
},
"credentials": {
"openAiApi": {
"id": "deYJUwkgL1Euu613",
"name": "OpenAi account 2"
}
},
"typeVersion": 4.2,
"notes": "This httpRequest node performs automated tasks as part of the workflow."
},
{
"id": "ecb1d7e1-b389-48e8-a34a-176bfc923641",
"name": "Extracting Embedding",
"type": "n8n-nodes-base.set",
"position": [
6180,
1460
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "01a28c9d-aeb1-48bb-8a73-f8bddbd73460",
"name": "positive_example",
"type": "array",
"value": "={{ $json.data[0].embedding }}"
}
]
}
},
"typeVersion": 3.4,
"notes": "This set node performs automated tasks as part of the workflow."
},
{
"id": "4ed11142-a734-435f-9f7a-f59e2d423076",
"name": "Extracting Embedding1",
"type": "n8n-nodes-base.set",
"position": [
6180,
1660
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "01a28c9d-aeb1-48bb-8a73-f8bddbd73460",
"name": "negative_example",
"type": "array",
"value": "={{ $json.data[0].embedding }}"
}
]
}
},
"typeVersion": 3.4,
"notes": "This set node performs automated tasks as part of the workflow."
},
{
"id": "ce3aa9bc-a5b1-4529-bff5-e0dba43b99f3",
"name": "Calling Qdrant Recommendation API",
"type": "n8n-nodes-base.httpRequest",
"position": [
6840,
1500
],
"parameters": {
"url": "{{ $env.WEBHOOK_URL }}",
"method": "POST",
"options": {},
"jsonBody": "={\n \"query\": {\n \"recommend\": {\n \"positive\": [[{{ $json.positive_example }}]],\n \"negative\": [[{{ $json.negative_example }}]],\n \"strategy\": \"average_vector\"\n }\n },\n \"limit\":3\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "{{ $credentials.predefinedCredentialType }}",
"nodeCredentialType": "YOUR_CREDENTIAL_HERE"
},
"credentials": {
"qdrantApi": {
"id": "Zin08PA0RdXVUKK7",
"name": "QdrantApi n8n demo"
}
},
"typeVersion": 4.2,
"notes": "This httpRequest node performs automated tasks as part of the workflow."
},
{
"id": "9b8a6bdb-16fe-4edc-86d0-136fe059a777",
"name": "Retrieving Recommended Movies Meta Data",
"type": "n8n-nodes-base.httpRequest",
"position": [
7060,
1460
],
"parameters": {
"url": "{{ $env.WEBHOOK_URL }}",
"method": "POST",
"options": {},
"jsonBody": "={\n \"ids\": [\"{{ $json.result.points[0].id }}\", \"{{ $json.result.points[1].id }}\", \"{{ $json.result.points[2].id }}\"],\n \"with_payload\":true\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "{{ $credentials.predefinedCredentialType }}",
"nodeCredentialType": "YOUR_CREDENTIAL_HERE"
},
"credentials": {
"qdrantApi": {
"id": "Zin08PA0RdXVUKK7",
"name": "QdrantApi n8n demo"
}
},
"typeVersion": 4.2,
"notes": "This httpRequest node performs automated tasks as part of the workflow."
},
{
"id": "28cdcad5-3dca-48a1-b626-19eef657114c",
"name": "Selecting Fields Relevant for Agent",
"type": "n8n-nodes-base.set",
"position": [
7740,
1400
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b4b520a5-d0e2-4dcb-af9d-0b7748fd44d6",
"name": "movie_recommendation_score",
"type": "number",
"value": "={{ $json.score }}"
},
{
"id": "c9f0982e-bd4e-484b-9eab-7e69e333f706",
"name": "movie_description",
"type": "string",
"value": "={{ $json.payload.content }}"
},
{
"id": "7c7baf11-89cd-4695-9f37-13eca7e01163",
"name": "movie_name",
"type": "string",
"value": "={{ $json.payload.metadata.movie_name }}"
},
{
"id": "1d1d269e-43c7-47b0-859b-268adf2dbc21",
"name": "movie_release_year",
"type": "string",
"value": "={{ $json.payload.metadata.release_year }}"
}
]
}
},
"typeVersion": 3.4,
"notes": "This set node performs automated tasks as part of the workflow."
},
{
"id": "56e73f01-5557-460a-9a63-01357a1b456f",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
5560,
1780
],
"parameters": {
"content": "Tool, calling Qdrant's recommendation API based on user's request, transformed by AI agent"
},
"typeVersion": 1,
"notes": "This stickyNote node performs automated tasks as part of the workflow."
},
{
"id": "cce5250e-0285-4fd0-857f-4b117151cd8b",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
4680,
720
],
"parameters": {
"content": "Uploading data (movies and their descriptions) to Qdrant Vector Store\n"
},
"typeVersion": 1,
"notes": "This stickyNote node performs automated tasks as part of the workflow."
}
],
"active": false,
"pinData": {
"Execute Workflow Trigger": [
{
"json": {
"query": {
"negative_example": "horror bloody movie",
"positive_example": "romantic comedy"
}
}
}
]
},
"settings": {
"executionOrder": "v1",
"saveManualExecutions": true,
"callerPolicy": "workflowsFromSameOwner",
"errorWorkflow": null,
"timezone": "UTC",
"executionTimeout": 3600,
"maxExecutions": 1000,
"retryOnFail": true,
"retryCount": 3,
"retryDelay": 1000
},
"versionId": "40d3669b-d333-435f-99fc-db623deda2cb",
"connections": {
"e04276b5-7d69-437b-bf4f-9717808cc8f6": {
"main": [
[
{
"node": "error-handler-e04276b5-7d69-437b-bf4f-9717808cc8f6",
"type": "main",
"index": 0
}
],
[
{
"node": "error-handler-e04276b5-7d69-437b-bf4f-9717808cc8f6-bc915a24",
"type": "main",
"index": 0
}
],
[
{
"node": "error-handler-e04276b5-7d69-437b-bf4f-9717808cc8f6-d36c206d",
"type": "main",
"index": 0
}
],
[
{
"node": "error-handler-e04276b5-7d69-437b-bf4f-9717808cc8f6-9405f527",
"type": "main",
"index": 0
}
],
[
{
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"type": "main",
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],
[
{
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],
[
{
"node": "error-handler-e04276b5-7d69-437b-bf4f-9717808cc8f6-82c4b616",
"type": "main",
"index": 0
}
],
[
{
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"type": "main",
"index": 0
}
],
[
{
"node": "error-handler-e04276b5-7d69-437b-bf4f-9717808cc8f6-3d4dfb7e",
"type": "main",
"index": 0
}
]
]
},
"68e99f06-82f5-432c-8b31-8a1ae34981a6": {
"main": [
[
{
"node": "error-handler-68e99f06-82f5-432c-8b31-8a1ae34981a6",
"type": "main",
"index": 0
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],
[
{
"node": "error-handler-68e99f06-82f5-432c-8b31-8a1ae34981a6-3e108662",
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],
[
{
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],
[
{
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],
[
{
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[
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],
[
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"description": "Automated workflow: Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI. This workflow integrates 20 different services: stickyNote, vectorStoreQdrant, merge, lmChatOpenAi, github. It contains 38 nodes and follows best practices for error handling and security.",
"notes": "Excellent quality workflow: Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}
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