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Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8...
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📋 Irrigation Schedule Optimizer
Workflow automatisé avec 11 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8n/langchain.embeddingsOpenAi, @n8n/langchain.vectorStorePinecone
🔧 Composition du workflow
Nombre total de nodes : 11
🚀 Déclencheurs
- Webhook
⚡ Actions
- Sticky
- Splitter
- Embeddings
- Insert
- Query
- Tool
- Memory
- Chat
- Agent
- Sheet
🔗 Services intégrés
- Webhook
- Google Sheets
🔄 Flux de données
Le workflow contient 10 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": "Irrigation Schedule Optimizer",
"nodes": [
{
"parameters": {
"content": "## Irrigation Schedule Optimizer",
"height": 520,
"width": 1100
},
"id": "f61a51a0-1b5e-4f7d-ae28-7a1d87585c3b",
"name": "Sticky",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-500,
-250
]
},
{
"parameters": {
"httpMethod": "POST",
"path": "irrigation_schedule_optimizer"
},
"id": "330670e3-af28-42a0-9fbd-cb93e2b7dd56",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
-300,
0
]
},
{
"parameters": {
"chunkSize": 400,
"chunkOverlap": 40
},
"id": "311d8f6e-c5f9-424b-b475-51b26395127e",
"name": "Splitter",
"type": "@n8n\/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
"typeVersion": 1,
"position": [
-100,
0
]
},
{
"parameters": {
"model": "default"
},
"id": "6bcaa39d-c038-4d22-b2f6-b064ec027d5e",
"name": "Embeddings",
"type": "@n8n\/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1,
"position": [
100,
0
],
"credentials": {
"openAiApi": {
"id": "OPENAI_API",
"name": "OpenAI"
}
}
},
{
"parameters": {
"mode": "insert",
"indexName": "irrigation_schedule_optimizer"
},
"id": "023182c5-967c-44e4-99c6-84e3ffb287d3",
"name": "Insert",
"type": "@n8n\/n8n-nodes-langchain.vectorStorePinecone",
"typeVersion": 1,
"position": [
300,
0
],
"credentials": {
"pineconeApi": {
"id": "PINECONE_API",
"name": "Pinecone account"
}
}
},
{
"parameters": {
"indexName": "irrigation_schedule_optimizer"
},
"id": "44c21134-953d-406a-9b29-25a308d10e8a",
"name": "Query",
"type": "@n8n\/n8n-nodes-langchain.vectorStorePinecone",
"typeVersion": 1,
"position": [
300,
-180
],
"credentials": {
"pineconeApi": {
"id": "PINECONE_API",
"name": "Pinecone account"
}
}
},
{
"parameters": {
"name": "Pinecone"
},
"id": "6a1aa32c-814c-4551-99eb-1a07bc8c4ae8",
"name": "Tool",
"type": "@n8n\/n8n-nodes-langchain.toolVectorStore",
"typeVersion": 1,
"position": [
480,
-180
]
},
{
"parameters": [],
"id": "920e99d5-4ace-4b92-94b9-4b7025b9f0c5",
"name": "Memory",
"type": "@n8n\/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
480,
-40
]
},
{
"parameters": [],
"id": "6a401fd5-247b-4414-8d9b-43e25c1e71a1",
"name": "Chat",
"type": "@n8n\/n8n-nodes-langchain.lmChatHf",
"typeVersion": 1,
"position": [
480,
-340
],
"credentials": {
"huggingFaceApi": {
"id": "HF_API",
"name": "HuggingFace"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json }}"
},
"id": "f6e17324-514b-4001-8123-899440a2de47",
"name": "Agent",
"type": "@n8n\/n8n-nodes-langchain.agent",
"typeVersion": 1,
"position": [
760,
-40
]
},
{
"parameters": {
"operation": "append",
"documentId": "SHEET_ID",
"sheetName": "Log"
},
"id": "8feeeba0-2a81-4271-9277-e7567ad5d952",
"name": "Sheet",
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4,
"position": [
960,
-40
],
"credentials": {
"googleSheetsOAuth2Api": {
"id": "SHEETS_API",
"name": "Sheets"
}
}
}
],
"connections": {
"Webhook": {
"main": [
[
{
"node": "Splitter",
"type": "main",
"index": 0
},
{
"node": "Memory",
"type": "main",
"index": 0
}
]
]
},
"Splitter": {
"main": [
[
{
"node": "Embeddings",
"type": "main",
"index": 0
}
]
],
"ai_textSplitter": [
[
{
"node": "Insert",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Embeddings": {
"ai_embedding": [
[
{
"node": "Insert",
"type": "ai_embedding",
"index": 0
},
{
"node": "Query",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Insert": {
"ai_document": [
[]
]
},
"Query": {
"ai_vectorStore": [
[
{
"node": "Tool",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Tool": {
"ai_tool": [
[
{
"node": "Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Memory": {
"ai_memory": [
[
{
"node": "Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Chat": {
"ai_languageModel": [
[
{
"node": "Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Agent": {
"main": [
[
{
"node": "Sheet",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
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