Public Form Auto Triage
Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8...
Documentation Complète
📋 Crop Yield Predictor
Workflow automatisé avec 11 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8n/langchain.embeddingsHuggingFace, @n8n/langchain.vectorStoreSupabase
🔧 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": "Crop Yield Predictor",
"nodes": [
{
"parameters": {
"content": "## Crop Yield Predictor",
"height": 520,
"width": 1100
},
"id": "f3362646-7c46-4e50-a664-66be86a30320",
"name": "Sticky",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-500,
-250
]
},
{
"parameters": {
"httpMethod": "POST",
"path": "crop_yield_predictor"
},
"id": "189bb6ad-a417-41f6-bf7a-0e3ddda212f0",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
-300,
0
]
},
{
"parameters": {
"chunkSize": 400,
"chunkOverlap": 40
},
"id": "30e55839-628c-4aa3-80d2-3c5a7ca26f46",
"name": "Splitter",
"type": "@n8n\/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
"typeVersion": 1,
"position": [
-100,
0
]
},
{
"parameters": {
"model": "default"
},
"id": "43e8ef2b-0af0-43f4-84f1-e72771c32adb",
"name": "Embeddings",
"type": "@n8n\/n8n-nodes-langchain.embeddingsHuggingFace",
"typeVersion": 1,
"position": [
100,
0
],
"credentials": {
"huggingFaceApi": {
"id": "HF_API",
"name": "HuggingFace"
}
}
},
{
"parameters": {
"mode": "insert",
"indexName": "crop_yield_predictor"
},
"id": "fa3aa105-97d5-48f0-9596-2c79447b9eea",
"name": "Insert",
"type": "@n8n\/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1,
"position": [
300,
0
],
"credentials": {
"supabaseApi": {
"id": "SUPABASE_API",
"name": "Supabase account"
}
}
},
{
"parameters": {
"indexName": "crop_yield_predictor"
},
"id": "aee3d47b-9cfb-4cc1-ac48-a3bc989f3e6a",
"name": "Query",
"type": "@n8n\/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1,
"position": [
300,
-180
],
"credentials": {
"supabaseApi": {
"id": "SUPABASE_API",
"name": "Supabase account"
}
}
},
{
"parameters": {
"name": "Supabase"
},
"id": "71c5bb9a-669c-47b3-aa70-84729641c4e9",
"name": "Tool",
"type": "@n8n\/n8n-nodes-langchain.toolVectorStore",
"typeVersion": 1,
"position": [
480,
-180
]
},
{
"parameters": [],
"id": "d40e44ca-dcfe-4642-9369-a1cf44361afa",
"name": "Memory",
"type": "@n8n\/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
480,
-40
]
},
{
"parameters": [],
"id": "3fe292ff-58f2-4611-b977-50c75389eb24",
"name": "Chat",
"type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1,
"position": [
480,
-340
],
"credentials": {
"openAiApi": {
"id": "OPENAI_API",
"name": "OpenAI"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json }}"
},
"id": "d358d3c2-c50d-4959-a0f5-37a9dffb6d18",
"name": "Agent",
"type": "@n8n\/n8n-nodes-langchain.agent",
"typeVersion": 1,
"position": [
760,
-40
]
},
{
"parameters": {
"operation": "append",
"documentId": "SHEET_ID",
"sheetName": "Log"
},
"id": "cbdd5fea-54eb-40eb-90e8-dfedeead8f13",
"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"
}
}
Workflows Similaires
Image Captioning
Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8...
Daily Content Ideas
Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8...