This workflow follows the Agent → Cohere Embeddings recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Summarize Customer Emails",
"nodes": [
{
"parameters": {
"content": "Placeholder for Summarize Customer Emails",
"height": 530,
"width": 1100,
"color": 5
},
"id": "94ad1eec-70e2-4db2-b80b-385e07a22f66",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-480,
-240
]
},
{
"parameters": {
"httpMethod": "POST",
"path": "summarize-customer-emails"
},
"id": "be284d5c-5194-4e36-8b98-92f89a0b69e7",
"name": "Webhook Trigger",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
-300,
0
]
},
{
"parameters": {
"chunkSize": 400,
"chunkOverlap": 40
},
"id": "e74ee421-b363-4e81-9878-d358db8b7f91",
"name": "Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
"typeVersion": 1,
"position": [
-130,
0
]
},
{
"parameters": {
"model": "embed-english-v3.0",
"options": {}
},
"id": "c6fa5ebc-8de0-422e-af77-32f485e41649",
"name": "Embeddings",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"typeVersion": 1,
"position": [
70,
0
],
"credentials": {
"cohereApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "insert",
"options": {},
"indexName": "summarize_customer_emails"
},
"id": "316539a7-288b-492f-8f01-e326e9aa6ac5",
"name": "Weaviate Insert",
"type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
"typeVersion": 1,
"position": [
270,
0
],
"credentials": {
"weaviateApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"indexName": "summarize_customer_emails"
},
"id": "f9073360-07bb-4a7e-924e-6f4fcec030d7",
"name": "Weaviate Query",
"type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
"typeVersion": 1,
"position": [
270,
-180
],
"credentials": {
"weaviateApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"name": "Weaviate",
"description": "Vector context"
},
"id": "45a669cd-6731-4c59-b3be-8e53b00d85a7",
"name": "Vector Tool",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"typeVersion": 1,
"position": [
450,
-180
]
},
{
"parameters": {},
"id": "643506d8-f0d8-4565-b90f-26fb9de64cfe",
"name": "Window Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
450,
-40
]
},
{
"parameters": {
"options": {}
},
"id": "34a740ac-8797-43e1-952a-cf5548b7baf8",
"name": "Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"typeVersion": 1,
"position": [
450,
-340
],
"credentials": {
"anthropicApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "Handle data",
"options": {
"systemMessage": "You are an assistant for Summarize Customer Emails"
}
},
"id": "383e0a40-ddb2-4cf0-9ecb-01fa21c82ae3",
"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": "Summarize Customer Emails"
},
"sheetName": {
"__rl": true,
"value": "Log",
"mode": "list",
"cachedResultName": "Log"
},
"columns": {
"mappingMode": "defineBelow",
"value": "Status",
"schema": []
}
},
"id": "0c486ca7-802a-4769-9164-8206e2029d1d",
"name": "Append Sheet",
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4,
"position": [
930,
-40
],
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"channel": "#alerts",
"text": "Summarize Customer Emails error: {$json.error.message}"
},
"id": "9dc4dcc0-580e-44b3-ac10-f97b173ae1c0",
"name": "Slack Alert",
"type": "n8n-nodes-base.slack",
"typeVersion": 1,
"position": [
930,
120
],
"credentials": {
"slackApi": {
"name": "<your credential>"
}
}
}
],
"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": "Weaviate Insert",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Embeddings": {
"ai_embedding": [
[
{
"node": "Weaviate Insert",
"type": "ai_embedding",
"index": 0
},
{
"node": "Weaviate Query",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Weaviate Insert": {
"ai_document": [
[]
]
},
"Weaviate 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
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
anthropicApicohereApigoogleSheetsOAuth2ApislackApiweaviateApi
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About this workflow
Summarize Customer Emails. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStoreWeaviate. Webhook trigger; 12 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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