Public Form Auto Triage
Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8...
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📋 Daily Content Ideas
Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8n/langchain.embeddingsCohere, @n8n/langchain.vectorStoreSupabase
🔧 Composition du workflow
Nombre total de nodes : 12
🚀 Déclencheurs
- Webhook Trigger
⚡ Actions
- Sticky Note
- Text Splitter
- Embeddings
- Supabase Insert
- Supabase Query
- Vector Tool
- Window Memory
- Chat Model
- RAG Agent
- Append Sheet
- Slack Alert
🔗 Services intégrés
- Webhook
- Google Sheets
- Slack
🔄 Flux de données
Le workflow contient 11 connexion(s) entre les nodes, définissant le flux de données et l'ordre d'exécution.
💡 Utilisation
- Importez ce workflow dans votre instance n8n
- Configurez les credentials nécessaires pour chaque service
- Adaptez les paramètres selon vos besoins
- Testez le workflow avant de l'activer
📝 Note : Cette documentation a été générée automatiquement. Pour une analyse plus détaillée, configurez l'API OpenAI dans les paramètres système.
Structure JSON
Voir le code JSON complet
{
"name": "Daily Content Ideas",
"nodes": [
{
"parameters": {
"content": "Placeholder for Daily Content Ideas",
"height": 530,
"width": 1100,
"color": 5
},
"id": "ca5f06fc-6dec-4477-bce5-e79c88a25e7d",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-480,
-240
]
},
{
"parameters": {
"httpMethod": "POST",
"path": "daily-content-ideas"
},
"id": "07884fea-1b21-4c07-9cc1-0f8c9546154d",
"name": "Webhook Trigger",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
-300,
0
]
},
{
"parameters": {
"chunkSize": 400,
"chunkOverlap": 40
},
"id": "cddbaad6-33bf-4933-8a99-018c63325ad8",
"name": "Text Splitter",
"type": "@n8n\/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
"typeVersion": 1,
"position": [
-130,
0
]
},
{
"parameters": {
"model": "embed-english-v3.0",
"options": []
},
"id": "ba875ce2-e150-47e1-8036-72573e1e142d",
"name": "Embeddings",
"type": "@n8n\/n8n-nodes-langchain.embeddingsCohere",
"typeVersion": 1,
"position": [
70,
0
],
"credentials": {
"cohereApi": {
"id": "COHERE_API",
"name": "Cohere"
}
}
},
{
"parameters": {
"mode": "insert",
"options": [],
"indexName": "daily_content_ideas"
},
"id": "5b7779c8-04ec-41ab-abf5-4f2a2d8405fd",
"name": "Supabase Insert",
"type": "@n8n\/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1,
"position": [
270,
0
],
"credentials": {
"supabaseApi": {
"id": "SUPABASE_API",
"name": "Supabase account"
}
}
},
{
"parameters": {
"indexName": "daily_content_ideas"
},
"id": "9a6dab96-b119-484f-aa5f-6a50b470fecd",
"name": "Supabase Query",
"type": "@n8n\/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1,
"position": [
270,
-180
],
"credentials": {
"supabaseApi": {
"id": "SUPABASE_API",
"name": "Supabase account"
}
}
},
{
"parameters": {
"name": "Supabase",
"description": "Vector context"
},
"id": "9c83b97b-8ffc-4739-b045-27c982cae0dd",
"name": "Vector Tool",
"type": "@n8n\/n8n-nodes-langchain.toolVectorStore",
"typeVersion": 1,
"position": [
450,
-180
]
},
{
"parameters": [],
"id": "c38b7694-050b-4e8d-97cd-876b30fcccab",
"name": "Window Memory",
"type": "@n8n\/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
450,
-40
]
},
{
"parameters": {
"options": []
},
"id": "1b3d208d-2707-4bda-a5da-de6b5b52e811",
"name": "Chat Model",
"type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1,
"position": [
450,
-340
],
"credentials": {
"openAiApi": {
"id": "OPENAI_API",
"name": "OpenAI"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "Handle data",
"options": {
"systemMessage": "You are an assistant for Daily Content Ideas"
}
},
"id": "f10af89a-34ee-416a-9e15-b4e44eb9a6ba",
"name": "RAG Agent",
"type": "@n8n\/n8n-nodes-langchain.agent",
"typeVersion": 1,
"position": [
720,
-40
]
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"value": "SHEET_ID",
"mode": "list",
"cachedResultName": "Daily Content Ideas"
},
"sheetName": {
"__rl": true,
"value": "Log",
"mode": "list",
"cachedResultName": "Log"
},
"columns": {
"mappingMode": "defineBelow",
"value": "Status",
"schema": []
}
},
"id": "05153aa5-3e62-4cde-a050-7bfba1ac9895",
"name": "Append Sheet",
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4,
"position": [
930,
-40
],
"credentials": {
"googleSheetsOAuth2Api": {
"id": "SHEETS_API",
"name": "Google Sheets account"
}
}
},
{
"parameters": {
"channel": "#alerts",
"text": "Daily Content Ideas error: {$json.error.message}"
},
"id": "4838e13d-2475-4bb1-9c74-bde4b5d4123a",
"name": "Slack Alert",
"type": "n8n-nodes-base.slack",
"typeVersion": 1,
"position": [
930,
120
],
"credentials": {
"slackApi": {
"id": "SLACK_API",
"name": "Slack"
}
}
}
],
"connections": {
"Webhook Trigger": {
"main": [
[
{
"node": "Text Splitter",
"type": "main",
"index": 0
},
{
"node": "Window Memory",
"type": "main",
"index": 0
}
]
]
},
"Text Splitter": {
"main": [
[
{
"node": "Embeddings",
"type": "main",
"index": 0
}
]
],
"ai_textSplitter": [
[
{
"node": "Supabase Insert",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Embeddings": {
"ai_embedding": [
[
{
"node": "Supabase Insert",
"type": "ai_embedding",
"index": 0
},
{
"node": "Supabase Query",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Supabase Insert": {
"ai_document": [
[]
]
},
"Supabase Query": {
"ai_vectorStore": [
[
{
"node": "Vector Tool",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Vector Tool": {
"ai_tool": [
[
{
"node": "RAG Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Window Memory": {
"ai_memory": [
[
{
"node": "RAG Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Chat Model": {
"ai_languageModel": [
[
{
"node": "RAG Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"RAG Agent": {
"main": [
[
{
"node": "Append Sheet",
"type": "main",
"index": 0
}
]
],
"onError": [
[
{
"node": "Slack Alert",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"triggerCount": 1
}
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