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Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8...
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📋 Harvest Logbook
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": "Harvest Logbook",
"nodes": [
{
"parameters": {
"content": "## Harvest Logbook",
"height": 520,
"width": 1100
},
"id": "436f9ee5-71c5-42d5-b7fc-dbcff2db8134",
"name": "Sticky",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-500,
-250
]
},
{
"parameters": {
"httpMethod": "POST",
"path": "harvest_logbook"
},
"id": "c2c61283-94fd-4552-8f32-1312df1c40e6",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
-300,
0
]
},
{
"parameters": {
"chunkSize": 400,
"chunkOverlap": 40
},
"id": "b038312f-6c74-4c50-9f90-e5cedfb704bb",
"name": "Splitter",
"type": "@n8n\/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
"typeVersion": 1,
"position": [
-100,
0
]
},
{
"parameters": {
"model": "default"
},
"id": "c4589904-fde4-4e34-b7ad-2f7df057a39c",
"name": "Embeddings",
"type": "@n8n\/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1,
"position": [
100,
0
],
"credentials": {
"openAiApi": {
"id": "OPENAI_API",
"name": "OpenAI"
}
}
},
{
"parameters": {
"mode": "insert",
"indexName": "harvest_logbook"
},
"id": "e45e34b1-8494-4788-97f1-6d0beb8dd889",
"name": "Insert",
"type": "@n8n\/n8n-nodes-langchain.vectorStorePinecone",
"typeVersion": 1,
"position": [
300,
0
],
"credentials": {
"pineconeApi": {
"id": "PINECONE_API",
"name": "Pinecone account"
}
}
},
{
"parameters": {
"indexName": "harvest_logbook"
},
"id": "b4c4018d-17a4-4a6d-98f5-14977e9b74ea",
"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": "eb7a1db2-da18-4109-87e8-45752e834a32",
"name": "Tool",
"type": "@n8n\/n8n-nodes-langchain.toolVectorStore",
"typeVersion": 1,
"position": [
480,
-180
]
},
{
"parameters": [],
"id": "cd043ae1-2230-421a-8995-e47d567974e9",
"name": "Memory",
"type": "@n8n\/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
480,
-40
]
},
{
"parameters": [],
"id": "6cd7fa28-19bd-411f-9a3f-d5126109a7ed",
"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": "412b242e-fe10-4481-9abb-30932d959be1",
"name": "Agent",
"type": "@n8n\/n8n-nodes-langchain.agent",
"typeVersion": 1,
"position": [
760,
-40
]
},
{
"parameters": {
"operation": "append",
"documentId": "SHEET_ID",
"sheetName": "Log"
},
"id": "073f0e95-20a0-4583-8dab-d53ffaa1ee6e",
"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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