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Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8...
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📋 Customer Sentiment Analysis
Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8n/langchain.embeddingsCohere, @n8n/langchain.vectorStorePinecone
🔧 Composition du workflow
Nombre total de nodes : 12
🚀 Déclencheurs
- Webhook Trigger
⚡ Actions
- Sticky Note
- Text Splitter
- Embeddings
- Pinecone Insert
- Pinecone 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": "Customer Sentiment Analysis",
"nodes": [
{
"parameters": {
"content": "Placeholder for Customer Sentiment Analysis",
"height": 530,
"width": 1100,
"color": 5
},
"id": "9432cbf3-839c-415b-bbad-164cacd8f761",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-480,
-240
]
},
{
"parameters": {
"httpMethod": "POST",
"path": "customer-sentiment-analysis"
},
"id": "deec2c7d-52f6-41d1-b6c9-f2f68cc2db9e",
"name": "Webhook Trigger",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
-300,
0
]
},
{
"parameters": {
"chunkSize": 400,
"chunkOverlap": 40
},
"id": "c999cc42-bc54-402b-8a6d-e8c924c27332",
"name": "Text Splitter",
"type": "@n8n\/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
"typeVersion": 1,
"position": [
-130,
0
]
},
{
"parameters": {
"model": "embed-english-v3.0",
"options": []
},
"id": "9c230e35-adf4-49a7-a98e-c13dfa1c4e3d",
"name": "Embeddings",
"type": "@n8n\/n8n-nodes-langchain.embeddingsCohere",
"typeVersion": 1,
"position": [
70,
0
],
"credentials": {
"cohereApi": {
"id": "COHERE_API",
"name": "Cohere"
}
}
},
{
"parameters": {
"mode": "insert",
"options": [],
"pineconeIndex": {
"__rl": true,
"value": "customer_sentiment_analysis",
"mode": "list",
"cachedResultName": "customer_sentiment_analysis"
}
},
"id": "4b1cbbe7-ae91-4cbc-9b7d-106e8def867f",
"name": "Pinecone Insert",
"type": "@n8n\/n8n-nodes-langchain.vectorStorePinecone",
"typeVersion": 1,
"position": [
270,
0
],
"credentials": {
"pineconeApi": {
"id": "PINECONE_API",
"name": "Pinecone account"
}
}
},
{
"parameters": {
"pineconeIndex": {
"__rl": true,
"value": "customer_sentiment_analysis",
"mode": "list",
"cachedResultName": "customer_sentiment_analysis"
}
},
"id": "2051fbc6-2275-4529-bcc4-7ef84d05beed",
"name": "Pinecone Query",
"type": "@n8n\/n8n-nodes-langchain.vectorStorePinecone",
"typeVersion": 1,
"position": [
270,
-180
],
"credentials": {
"pineconeApi": {
"id": "PINECONE_API",
"name": "Pinecone account"
}
}
},
{
"parameters": {
"name": "Pinecone",
"description": "Vector context"
},
"id": "24603a00-5522-415e-b4c8-d80889678355",
"name": "Vector Tool",
"type": "@n8n\/n8n-nodes-langchain.toolVectorStore",
"typeVersion": 1,
"position": [
450,
-180
]
},
{
"parameters": [],
"id": "e22fb094-3cc2-492f-95f7-608b93e89409",
"name": "Window Memory",
"type": "@n8n\/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
450,
-40
]
},
{
"parameters": {
"options": []
},
"id": "3116ece9-b801-47f1-82fb-192574cedea1",
"name": "Chat Model",
"type": "@n8n\/n8n-nodes-langchain.lmChatAnthropic",
"typeVersion": 1,
"position": [
450,
-340
],
"credentials": {
"anthropicApi": {
"id": "ANTHROPIC_API",
"name": "Anthropic"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "Handle data",
"options": {
"systemMessage": "You are an assistant for Customer Sentiment Analysis"
}
},
"id": "f94f99f3-4f7b-49d4-8432-b156ca31d831",
"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": "Customer Sentiment Analysis"
},
"sheetName": {
"__rl": true,
"value": "Log",
"mode": "list",
"cachedResultName": "Log"
},
"columns": {
"mappingMode": "defineBelow",
"value": "Status",
"schema": []
}
},
"id": "50ab5f32-d0a4-49e3-a3e3-a896b94ec7a0",
"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": "Customer Sentiment Analysis error: {$json.error.message}"
},
"id": "59c37726-aac9-49be-a899-ed4dc6563e33",
"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": "Pinecone Insert",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Embeddings": {
"ai_embedding": [
[
{
"node": "Pinecone Insert",
"type": "ai_embedding",
"index": 0
},
{
"node": "Pinecone Query",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Pinecone Insert": {
"ai_document": [
[]
]
},
"Pinecone 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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