This workflow follows the Agent → Chat Trigger 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": "Shopping App Classifier - Product Query and Order ID",
"nodes": [
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.4,
"position": [
-1340,
3600
],
"id": "chat-1",
"name": "When chat message received"
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json.chatInput }}",
"options": {
"systemMessage": "Classify the latest shopping message and extract product query or order ID details. Return structured JSON only."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2.2,
"position": [
-700,
3600
],
"id": "agent-1",
"name": "Classify and Extract"
},
{
"parameters": {
"model": "qwen3:8b",
"options": {
"temperature": 0,
"keepAlive": "30m"
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"typeVersion": 1,
"position": [
-820,
3880
],
"id": "model-1",
"name": "Ollama Chat Model"
},
{
"parameters": {
"contextWindowLength": 10
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
-620,
3880
],
"id": "memory-1",
"name": "Conversation Memory"
},
{
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"action\": { \"type\": \"string\", \"enum\": [\"product_search\", \"order_track\", \"support_ticket\", \"hang_to_human\"] },\n \"language\": { \"type\": \"string\", \"enum\": [\"Eng\", \"Th\"] },\n \"product_name\": { \"type\": [\"string\", \"null\"] },\n \"search_query\": { \"type\": [\"string\", \"null\"] },\n \"product_category\": { \"type\": [\"string\", \"null\"] },\n \"product_attributes\": { \"type\": \"array\", \"items\": { \"type\": \"string\" } },\n \"order_id\": { \"type\": [\"string\", \"null\"] },\n \"missing_fields\": { \"type\": \"array\", \"items\": { \"type\": \"string\" } }\n },\n \"required\": [\"action\", \"language\", \"product_name\", \"search_query\", \"product_category\", \"product_attributes\", \"order_id\", \"missing_fields\"],\n \"additionalProperties\": false\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.3,
"position": [
-320,
3880
],
"id": "parser-1",
"name": "Structured Output Parser"
},
{
"parameters": {
"mode": "raw",
"jsonOutput": "={{ $json.output }}",
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-380,
3600
],
"id": "set-1",
"name": "Extract Pure JSON"
},
{
"parameters": {
"mode": "expression",
"output": "={{ ['product_search','order_track','support_ticket','hang_to_human'].indexOf($json.action) }}",
"looseTypeValidation": true
},
"type": "n8n-nodes-base.switch",
"typeVersion": 3.4,
"position": [
-120,
3600
],
"id": "switch-1",
"name": "Route by Action"
},
{
"parameters": {
"mode": "raw",
"jsonOutput": "={{ { action: 'product_search', language: $json.language, product_name: $json.product_name ?? null, search_query: $json.search_query ?? null, product_category: $json.product_category ?? null, product_attributes: Array.isArray($json.product_attributes) ? $json.product_attributes : [], order_id: null, missing_fields: [], status: 'ready' } }}",
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
500,
3200
],
"id": "ready-1",
"name": "PRODUCT SEARCH - Ready"
},
{
"parameters": {
"mode": "raw",
"jsonOutput": "={{ { output: $json.language === 'Th' ? '\u0e01\u0e23\u0e38\u0e13\u0e32\u0e23\u0e30\u0e1a\u0e38\u0e0a\u0e37\u0e48\u0e2d\u0e2a\u0e34\u0e19\u0e04\u0e49\u0e32\u0e2b\u0e23\u0e37\u0e2d\u0e23\u0e32\u0e22\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e04\u0e49\u0e19\u0e2b\u0e32' : 'Please provide the product name or details you want to search for.', action: 'product_search', language: $json.language, missing_fields: ['product_query'], status: 'need_input' } }}",
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
500,
3400
],
"id": "ask-1",
"name": "Ask for Product Query"
},
{
"parameters": {
"mode": "raw",
"jsonOutput": "={{ { action: 'order_track', language: $json.language, order_id: $json.order_id, missing_fields: [], status: 'ready' } }}",
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
500,
3600
],
"id": "ready-2",
"name": "ORDER TRACK - Ready"
},
{
"parameters": {
"mode": "raw",
"jsonOutput": "={{ { output: $json.language === 'Th' ? '\u0e01\u0e23\u0e38\u0e13\u0e32\u0e41\u0e08\u0e49\u0e07\u0e2b\u0e21\u0e32\u0e22\u0e40\u0e25\u0e02\u0e04\u0e33\u0e2a\u0e31\u0e48\u0e07\u0e0b\u0e37\u0e49\u0e2d\u0e2b\u0e23\u0e37\u0e2d\u0e2b\u0e21\u0e32\u0e22\u0e40\u0e25\u0e02\u0e15\u0e34\u0e14\u0e15\u0e32\u0e21\u0e1e\u0e31\u0e2a\u0e14\u0e38' : 'Please provide your order ID or tracking number.', action: 'order_track', language: $json.language, missing_fields: ['order_id'], status: 'need_input' } }}",
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
500,
3800
],
"id": "ask-2",
"name": "Ask for Order ID"
},
{
"parameters": {
"mode": "raw",
"jsonOutput": "={{ { action: 'support_ticket', language: $json.language, missing_fields: [], status: 'ready' } }}",
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
160,
3780
],
"id": "ready-3",
"name": "SUPPORT TICKET - Ready"
},
{
"parameters": {
"mode": "raw",
"jsonOutput": "={{ { action: 'hang_to_human', language: $json.language, missing_fields: [], status: 'ready' } }}",
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
160,
3960
],
"id": "ready-4",
"name": "HUMAN HANDOFF - Ready"
}
],
"connections": {
"When chat message received": {
"main": [
[
{
"node": "Classify and Extract",
"type": "main",
"index": 0
}
]
]
},
"Classify and Extract": {
"main": [
[
{
"node": "Extract Pure JSON",
"type": "main",
"index": 0
}
]
]
},
"Ollama Chat Model": {
"ai_languageModel": [
[
{
"node": "Classify and Extract",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Conversation Memory": {
"ai_memory": [
[
{
"node": "Classify and Extract",
"type": "ai_memory",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Classify and Extract",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Extract Pure JSON": {
"main": [
[
{
"node": "Route by Action",
"type": "main",
"index": 0
}
]
]
},
"Route by Action": {
"main": [
[
{
"node": "PRODUCT SEARCH - Ready",
"type": "main",
"index": 0
},
{
"node": "Ask for Product Query",
"type": "main",
"index": 0
}
],
[
{
"node": "ORDER TRACK - Ready",
"type": "main",
"index": 0
},
{
"node": "Ask for Order ID",
"type": "main",
"index": 0
}
],
[
{
"node": "SUPPORT TICKET - Ready",
"type": "main",
"index": 0
}
],
[
{
"node": "HUMAN HANDOFF - Ready",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"meta": {
"templateCredsSetupCompleted": false
}
}
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About this workflow
Shopping App Classifier - Product Query and Order ID. Uses chatTrigger, agent, lmChatOllama, memoryBufferWindow. Chat trigger; 13 nodes.
Source: https://github.com/mobizmad/n8n-workflow-templates/blob/main/shopping/shopping-app-classifier-product-query/workflow.json — original creator credit. Request a take-down →
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