This workflow follows the HTTP Request → Postgres 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 →
{
"name": "Central Knowledge Management Orchestrator",
"nodes": [
{
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "everyMinute",
"options": {}
},
"id": "orchestrator-cron-trigger",
"name": "Orchestrator Cron Trigger",
"type": "n8n-nodes-base.cron",
"typeVersion": 1,
"position": [
200,
400
]
},
{
"parameters": {
"httpMethod": "POST",
"path": "knowledge-orchestrator",
"responseMode": "responseNode",
"options": {}
},
"id": "orchestrator-webhook",
"name": "Orchestrator Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
200,
600
]
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "orchestration-mode",
"name": "mode",
"value": "={{ $json.body?.mode || 'auto' }}",
"type": "string"
},
{
"id": "target-systems",
"name": "targetSystems",
"value": "={{ $json.body?.targetSystems || ['appflowy', 'affine', 'google_drive'] }}",
"type": "array"
},
{
"id": "orchestration-timestamp",
"name": "timestamp",
"value": "={{ $now }}",
"type": "string"
},
{
"id": "force-full-sync",
"name": "forceFullSync",
"value": "={{ $json.body?.forceFullSync || false }}",
"type": "boolean"
},
{
"id": "enable-ai-analysis",
"name": "enableAIAnalysis",
"value": "={{ $json.body?.enableAIAnalysis || true }}",
"type": "boolean"
}
]
},
"options": {}
},
"id": "process-orchestration-request",
"name": "Process Orchestration Request",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
450,
500
]
},
{
"parameters": {
"operation": "executeQuery",
"query": "SELECT \n source_system,\n COUNT(*) as total_documents,\n MAX(sync_timestamp) as last_sync,\n COUNT(CASE WHEN status = 'error' THEN 1 END) as error_count\nFROM knowledge_sync_log \nWHERE sync_timestamp > NOW() - INTERVAL '24 hours'\nGROUP BY source_system",
"options": {}
},
"id": "analyze-system-health",
"name": "Analyze System Health",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
700,
300
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "executeQuery",
"query": "SELECT \n document_id,\n source_system,\n content_hash,\n sync_timestamp,\n metadata\nFROM knowledge_sync_log \nWHERE status = 'synced' \n AND sync_timestamp > NOW() - INTERVAL '1 hour'\nORDER BY sync_timestamp DESC",
"options": {}
},
"id": "get-recent-activity",
"name": "Get Recent Activity",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
700,
400
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "executeQuery",
"query": "SELECT \n sm.source_system,\n sm.target_system,\n sm.mapping_type,\n COUNT(*) as mapping_count,\n COUNT(CASE WHEN sm.status = 'active' THEN 1 END) as active_mappings,\n COUNT(CASE WHEN sm.status = 'error' THEN 1 END) as error_mappings\nFROM knowledge_sync_mapping sm\nGROUP BY sm.source_system, sm.target_system, sm.mapping_type",
"options": {}
},
"id": "check-sync-mappings",
"name": "Check Sync Mappings",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
700,
500
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "system-health-summary",
"name": "systemHealth",
"value": "={{ $('Analyze System Health').all().reduce((acc, item) => { acc[item.source_system] = { totalDocs: item.total_documents, lastSync: item.last_sync, errorCount: item.error_count, status: item.error_count > 0 ? 'warning' : 'healthy' }; return acc; }, {}) }}",
"type": "object"
},
{
"id": "recent-activity-count",
"name": "recentActivityCount",
"value": "={{ $('Get Recent Activity').all().length }}",
"type": "number"
},
{
"id": "sync-mappings-summary",
"name": "syncMappings",
"value": "={{ $('Check Sync Mappings').all() }}",
"type": "array"
},
{
"id": "needs-maintenance",
"name": "needsMaintenance",
"value": "={{ Object.values($json.systemHealth).some(system => system.status === 'warning') }}",
"type": "boolean"
},
{
"id": "needs-sync",
"name": "needsSync",
"value": "={{ $json.recentActivityCount > 0 || $('Process Orchestration Request').item.json.forceFullSync }}",
"type": "boolean"
}
]
},
"options": {}
},
"id": "evaluate-orchestration-needs",
"name": "Evaluate Orchestration Needs",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
950,
400
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "maintenance-needed",
"leftValue": "={{ $json.needsMaintenance }}",
"rightValue": true,
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "check-maintenance-needed",
"name": "Check Maintenance Needed",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
1200,
300
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "sync-needed",
"leftValue": "={{ $json.needsSync }}",
"rightValue": true,
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "check-sync-needed",
"name": "Check Sync Needed",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
1200,
500
]
},
{
"parameters": {
"url": "https://n8n.{{ $vars.domain_name }}/webhook/trigger-knowledge-sync",
"options": {
"timeout": 120000
},
"sendBody": true,
"contentType": "json",
"body": {
"source": "all",
"direction": "bidirectional",
"forceSync": "={{ $('Process Orchestration Request').item.json.forceFullSync }}",
"orchestrationSession": "={{ $('Process Orchestration Request').item.json.timestamp }}"
}
},
"id": "trigger-bidirectional-sync",
"name": "Trigger Bidirectional Sync",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1450,
400
]
},
{
"parameters": {
"url": "https://n8n.{{ $vars.domain_name }}/webhook/enhanced-rag-agent",
"options": {
"timeout": 60000
},
"sendBody": true,
"contentType": "json",
"body": {
"chatInput": "Please analyze the recent knowledge management activity and provide insights about content patterns, frequently updated topics, and potential knowledge gaps.",
"sessionId": "orchestrator-analysis-{{ $('Process Orchestration Request').item.json.timestamp }}",
"enableAnalysis": "={{ $('Process Orchestration Request').item.json.enableAIAnalysis }}"
}
},
"id": "trigger-ai-analysis",
"name": "Trigger AI Analysis",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1450,
600
]
},
{
"parameters": {
"operation": "executeQuery",
"query": "UPDATE knowledge_sync_log \nSET status = 'resolved'\nWHERE status = 'error' \n AND sync_timestamp < NOW() - INTERVAL '1 hour'",
"options": {}
},
"id": "cleanup-old-errors",
"name": "Cleanup Old Errors",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
1450,
200
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"url": "http://qdrant:6333/collections/knowledge_base/cluster/status",
"options": {
"timeout": 10000
},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "api-key",
"value": "{{ $vars.qdrant_api_key }}"
}
]
}
},
"id": "check-vector-db-health",
"name": "Check Vector DB Health",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1450,
100
]
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "orchestration-summary",
"name": "orchestrationSummary",
"value": "={{ { timestamp: $('Process Orchestration Request').item.json.timestamp, systemHealth: $('Evaluate Orchestration Needs').item.json.systemHealth, maintenancePerformed: $('Evaluate Orchestration Needs').item.json.needsMaintenance, syncTriggered: $('Evaluate Orchestration Needs').item.json.needsSync, recentActivity: $('Evaluate Orchestration Needs').item.json.recentActivityCount, vectorDbStatus: $('Check Vector DB Health').item.json.status || 'unknown', aiAnalysisEnabled: $('Process Orchestration Request').item.json.enableAIAnalysis } }}",
"type": "object"
}
]
},
"options": {}
},
"id": "compile-orchestration-report",
"name": "Compile Orchestration Report",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1700,
400
]
},
{
"parameters": {
"operation": "insert",
"table": {
"__rl": true,
"value": "orchestration_log",
"mode": "list"
},
"data": {
"insert": [
{
"column": "session_id",
"value": "={{ $('Process Orchestration Request').item.json.timestamp }}"
},
{
"column": "mode",
"value": "={{ $('Process Orchestration Request').item.json.mode }}"
},
{
"column": "target_systems",
"value": "={{ $('Process Orchestration Request').item.json.targetSystems }}"
},
{
"column": "maintenance_performed",
"value": "={{ $('Evaluate Orchestration Needs').item.json.needsMaintenance }}"
},
{
"column": "sync_triggered",
"value": "={{ $('Evaluate Orchestration Needs').item.json.needsSync }}"
},
{
"column": "system_health",
"value": "={{ $('Evaluate Orchestration Needs').item.json.systemHealth }}"
},
{
"column": "orchestration_summary",
"value": "={{ $json.orchestrationSummary }}"
},
{
"column": "created_at",
"value": "={{ $now }}"
}
]
},
"options": {}
},
"id": "log-orchestration-session",
"name": "Log Orchestration Session",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
1950,
400
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "webhook-trigger-check",
"leftValue": "={{ $('Orchestrator Webhook').item }}",
"rightValue": "",
"operator": {
"type": "object",
"operation": "notEmpty"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "check-webhook-response-needed",
"name": "Check Webhook Response Needed",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
2200,
400
]
},
{
"parameters": {
"options": {}
},
"id": "respond-to-orchestrator-webhook",
"name": "Respond to Orchestrator Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.1,
"position": [
2450,
300
]
},
{
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyHour"
}
]
},
"triggerOn": "everyHour",
"options": {}
},
"id": "deep-analysis-trigger",
"name": "Deep Analysis Trigger",
"type": "n8n-nodes-base.cron",
"typeVersion": 1,
"position": [
200,
800
]
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "deep-analysis-mode",
"name": "mode",
"value": "deep_analysis",
"type": "string"
},
{
"id": "analysis-timestamp",
"name": "timestamp",
"value": "={{ $now }}",
"type": "string"
},
{
"id": "enable-full-ai",
"name": "enableAIAnalysis",
"value": true,
"type": "boolean"
}
]
},
"options": {}
},
"id": "prepare-deep-analysis",
"name": "Prepare Deep Analysis",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
450,
800
]
},
{
"parameters": {
"url": "https://n8n.{{ $vars.domain_name }}/webhook/enhanced-rag-agent",
"options": {
"timeout": 180000
},
"sendBody": true,
"contentType": "json",
"body": {
"chatInput": "Perform a comprehensive analysis of the knowledge management system: 1) Identify content clusters and themes across all platforms, 2) Detect knowledge gaps and outdated information, 3) Suggest content consolidation opportunities, 4) Analyze user interaction patterns, 5) Recommend system optimizations.",
"sessionId": "deep-analysis-{{ $json.timestamp }}",
"enableAnalysis": true
}
},
"id": "perform-deep-analysis",
"name": "Perform Deep Analysis",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
700,
800
]
},
{
"parameters": {
"operation": "insert",
"table": {
"__rl": true,
"value": "deep_analysis_reports",
"mode": "list"
},
"data": {
"insert": [
{
"column": "analysis_timestamp",
"value": "={{ $('Prepare Deep Analysis').item.json.timestamp }}"
},
{
"column": "analysis_type",
"value": "comprehensive_knowledge_audit"
},
{
"column": "findings",
"value": "={{ $json.output || $json.response || 'Analysis completed' }}"
},
{
"column": "recommendations",
"value": "{{ [] }}"
},
{
"column": "created_at",
"value": "={{ $now }}"
}
]
},
"options": {}
},
"id": "store-deep-analysis-report",
"name": "Store Deep Analysis Report",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
950,
800
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "## Central Knowledge Management Orchestrator\n\n**Purpose:** Master controller for the entire knowledge management ecosystem, coordinating all sync processes, health monitoring, and AI-driven insights.\n\n**Core Functions:**\n- **Health Monitoring**: Continuous system health checks across all platforms\n- **Sync Orchestration**: Coordinates bidirectional sync processes\n- **AI Analysis**: Triggers intelligent content analysis and recommendations \n- **Maintenance**: Automated cleanup and optimization tasks\n- **Reporting**: Comprehensive logging and analytics\n- **Deep Analysis**: Periodic comprehensive knowledge audits\n\n**Triggers:**\n- Cron: Every minute for routine checks\n- Webhook: On-demand orchestration\n- Hourly: Deep analysis and comprehensive audits\n\n**Integrations:**\n- AppFlowy Content Sync\n- Affine Content Sync \n- Bidirectional Knowledge Sync\n- Enhanced RAG AI Agent\n- Vector Database Health Checks\n- PostgreSQL Analytics\n\n**API Endpoints:**\n- POST /webhook/knowledge-orchestrator\n- Supports: mode, targetSystems, forceFullSync, enableAIAnalysis parameters",
"height": 700,
"width": 900,
"color": 1
},
"id": "orchestrator-documentation",
"name": "Orchestrator Documentation",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
2600,
50
]
}
],
"connections": {
"Orchestrator Cron Trigger": {
"main": [
[
{
"node": "Process Orchestration Request",
"type": "main",
"index": 0
}
]
]
},
"Orchestrator Webhook": {
"main": [
[
{
"node": "Process Orchestration Request",
"type": "main",
"index": 0
}
]
]
},
"Process Orchestration Request": {
"main": [
[
{
"node": "Analyze System Health",
"type": "main",
"index": 0
},
{
"node": "Get Recent Activity",
"type": "main",
"index": 0
},
{
"node": "Check Sync Mappings",
"type": "main",
"index": 0
}
]
]
},
"Get Recent Activity": {
"main": [
[
{
"node": "Evaluate Orchestration Needs",
"type": "main",
"index": 0
}
]
]
},
"Evaluate Orchestration Needs": {
"main": [
[
{
"node": "Check Maintenance Needed",
"type": "main",
"index": 0
},
{
"node": "Check Sync Needed",
"type": "main",
"index": 0
}
]
]
},
"Check Maintenance Needed": {
"main": [
[
{
"node": "Cleanup Old Errors",
"type": "main",
"index": 0
},
{
"node": "Check Vector DB Health",
"type": "main",
"index": 0
}
]
]
},
"Check Sync Needed": {
"main": [
[
{
"node": "Trigger Bidirectional Sync",
"type": "main",
"index": 0
},
{
"node": "Trigger AI Analysis",
"type": "main",
"index": 0
}
]
]
},
"Trigger Bidirectional Sync": {
"main": [
[
{
"node": "Compile Orchestration Report",
"type": "main",
"index": 0
}
]
]
},
"Check Vector DB Health": {
"main": [
[
{
"node": "Compile Orchestration Report",
"type": "main",
"index": 0
}
]
]
},
"Compile Orchestration Report": {
"main": [
[
{
"node": "Log Orchestration Session",
"type": "main",
"index": 0
}
]
]
},
"Log Orchestration Session": {
"main": [
[
{
"node": "Check Webhook Response Needed",
"type": "main",
"index": 0
}
]
]
},
"Check Webhook Response Needed": {
"main": [
[
{
"node": "Respond to Orchestrator Webhook",
"type": "main",
"index": 0
}
]
]
},
"Deep Analysis Trigger": {
"main": [
[
{
"node": "Prepare Deep Analysis",
"type": "main",
"index": 0
}
]
]
},
"Prepare Deep Analysis": {
"main": [
[
{
"node": "Perform Deep Analysis",
"type": "main",
"index": 0
}
]
]
},
"Perform Deep Analysis": {
"main": [
[
{
"node": "Store Deep Analysis Report",
"type": "main",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1"
},
"versionId": "orchestrator-v1",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "KnowledgeOrchestrator",
"tags": [
"orchestrator",
"knowledge-management",
"automation",
"monitoring",
"ai-analysis"
]
}
Credentials you'll need
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postgres
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About this workflow
Central Knowledge Management Orchestrator. Uses postgres, httpRequest. Scheduled trigger; 22 nodes.
Source: https://github.com/161sam/n8n-installer/blob/main/modularium/ai-workspace/Knowledge-Orchestrator.json — original creator credit. Request a take-down →
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