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": "n8n-4-2: c4ai \u2014 Local Supabase RAG",
"nodes": [
{
"parameters": {},
"id": "89388797-ed90-4256-836f-f38e7439b7c4",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
20,
755
]
},
{
"parameters": {
"url": "https://ai.pydantic.dev/sitemap.xml",
"options": {}
},
"id": "1b6574bc-c5f8-4f44-9b60-2b735adf1de4",
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
240,
755
]
},
{
"parameters": {
"options": {}
},
"id": "4ddb61a9-f8fd-415a-88b2-8bee44eefd72",
"name": "XML",
"type": "n8n-nodes-base.xml",
"typeVersion": 1,
"position": [
460,
755
]
},
{
"parameters": {
"fieldToSplitOut": "urlset.url",
"options": {}
},
"id": "be6b31f9-3771-41c5-89a5-e7e8fe899d39",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
680,
755
]
},
{
"parameters": {
"options": {}
},
"id": "880fa981-cc34-4247-9458-7a34abaac3cf",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
900,
755
]
},
{
"parameters": {},
"id": "25089cd2-69b0-4c0f-bcdf-9fa667b36d6c",
"name": "Wait",
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
1300,
940
]
},
{
"parameters": {
"method": "POST",
"url": "http://crawl4ai:11235/crawl",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "urls",
"value": "={{ $json.loc }}"
},
{
"name": "priority",
"value": "10"
}
]
},
"options": {}
},
"id": "c14fbbdf-87b0-40f8-b2de-7b26010d5de4",
"name": "HTTP Request1",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1080,
940
],
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"url": "=http://crawl4ai:11235/task/{{ $json.task_id }}",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"options": {
"timeout": 5000
}
},
"id": "937ba300-004c-45e2-9738-f143f18a7a85",
"name": "HTTP Request2",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1520,
940
],
"retryOnFail": true,
"waitBetweenTries": 5000,
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "9d90c1ce-590e-40a5-ae8c-d92326032975",
"leftValue": "={{ $json.status }}",
"rightValue": "completed",
"operator": {
"type": "string",
"operation": "equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "9a4417bb-6ace-44cf-b93a-c374c4170e8d",
"name": "If",
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
1740,
940
]
},
{
"parameters": {
"jsonMode": "expressionData",
"jsonData": "={{ $json.result.markdown }}",
"options": {
"metadata": {
"metadataValues": [
{
"name": "page",
"value": "={{ $json.result.url }}"
}
]
}
}
},
"id": "d927e686-6547-4e9e-997e-6fbf8244f5c7",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1,
"position": [
2380,
1320
]
},
{
"parameters": {
"chunkSize": 5000
},
"id": "940e0c87-b52f-48fa-aaf5-d046c3995921",
"name": "Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
"typeVersion": 1,
"position": [
2520,
1480
]
},
{
"parameters": {
"options": {}
},
"id": "f2eae081-fc30-4121-9be7-09f637384e3f",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.1,
"position": [
2220,
1440
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "f2bcdb54-e1fe-4670-99aa-6eec973bf5f1",
"name": "task_id",
"value": "={{ $('HTTP Request1').item.json.task_id }}",
"type": "string"
}
]
},
"options": {}
},
"id": "a775e67b-82c2-44fe-b4fd-92da621a2626",
"name": "Edit Fields",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1960,
1060
]
},
{
"parameters": {
"options": {}
},
"id": "22ec2434-a04a-4f78-9b59-74c5c2ffa47a",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.1,
"position": [
20,
-80
]
},
{
"parameters": {
"options": {}
},
"id": "d4fd84f0-ebea-4906-b58c-0b678ea0ddbc",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1,
"position": [
240,
140
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"id": "6b82ea13-183b-4818-b1e8-365119fe0ac2",
"name": "Postgres Chat Memory",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"typeVersion": 1.3,
"position": [
360,
140
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"name": "pydantic_ai_docs",
"description": "Retrieves data related to Pydantic AI using their documentation."
},
"id": "5636c5fe-71a5-48d6-b79a-e2a81a70bf66",
"name": "Vector Store Tool",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"typeVersion": 1,
"position": [
480,
142.5
]
},
{
"parameters": {
"options": {}
},
"id": "4efb3d64-52e3-43cc-a0b5-7ad3c6b3dbff",
"name": "Embeddings OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.1,
"position": [
464,
540
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"id": "3642f101-40db-4b8e-99fc-05e0ff429e29",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1,
"position": [
672,
340
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "insert",
"tableName": {
"__rl": true,
"value": "documents",
"mode": "list",
"cachedResultName": "documents"
},
"options": {
"queryName": "match_documents"
}
},
"id": "71d59b10-d129-4c07-8fee-bb60b238a18e",
"name": "Supabase Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1,
"position": [
2300,
1100
],
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"id": "fb501a71-c1bf-4349-aa24-24521af59dc3",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.7,
"position": [
272,
-80
]
},
{
"parameters": {
"tableName": {
"__rl": true,
"value": "documents",
"mode": "list",
"cachedResultName": "documents"
},
"options": {
"queryName": "match_documents"
}
},
"id": "480dbf63-4295-4554-9be5-a42e942df44a",
"name": "Supabase Vector Store1",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1,
"position": [
376,
342.5
],
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "# n8n + \u0410\u0433\u0435\u043d\u0442 Crawl4AI\n\n## \u0410\u0432\u0442\u043e\u0440: [\u041a\u043e\u0443\u043b \u041c\u0435\u0434\u0438\u043d](https://www.youtube.com/@ColeMedin)\n\n\u042d\u0442\u043e\u0442 AI-\u0430\u0433\u0435\u043d\u0442 \u0434\u0435\u043c\u043e\u043d\u0441\u0442\u0440\u0438\u0440\u0443\u0435\u0442, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0440\u0430\u0437\u0432\u0451\u0440\u043d\u0443\u0442\u044b\u0439 \u0447\u0435\u0440\u0435\u0437 Docker \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442 Crawl4AI \u2014 \u043c\u043e\u0449\u043d\u044b\u0439 \u0432\u0435\u0431-\u0441\u043a\u0440\u0435\u0439\u043f\u0435\u0440 \u0441 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u043c \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u043c \u043a\u043e\u0434\u043e\u043c \u2014 \u043f\u0440\u044f\u043c\u043e \u0432\u043d\u0443\u0442\u0440\u0438 n8n.\n\n\u041f\u0435\u0440\u0435\u0434 \u043d\u0430\u0447\u0430\u043b\u043e\u043c \u0440\u0430\u0431\u043e\u0442\u044b \u0443\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e Crawl4AI \u0443\u0436\u0435 \u0440\u0430\u0437\u0432\u0451\u0440\u043d\u0443\u0442 \u0432 Docker-\u043a\u043e\u043d\u0442\u0435\u0439\u043d\u0435\u0440\u0435 \u043f\u043e [\u0438\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u0438\u044f\u043c \u0438\u0437 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438](https://docs.crawl4ai.com/core/docker-deployment/).\n\n## \u041a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\n\n1. \u0417\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u0435 \u043d\u0438\u0436\u043d\u0438\u0439 workflow, \u043d\u0430\u0436\u0430\u0432 \u00abTest workflow\u00bb. \u042d\u0442\u043e \u0437\u0430\u0433\u0440\u0443\u0437\u0438\u0442 \u0432\u0441\u044e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044e Pydantic AI \u0432 \u0431\u0430\u0437\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 Supabase \u0434\u043b\u044f RAG.\n\n2. \u041e\u0431\u0449\u0430\u0439\u0442\u0435\u0441\u044c \u0441 \u0430\u0433\u0435\u043d\u0442\u043e\u043c \u0447\u0435\u0440\u0435\u0437 \u043a\u043d\u043e\u043f\u043a\u0443 \u00abChat\u00bb \u2014 \u043e\u043d \u0441\u043c\u043e\u0436\u0435\u0442 \u043e\u0442\u0432\u0435\u0447\u0430\u0442\u044c \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441\u044b \u043f\u043e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438 Pydantic AI!\n\n## \u0420\u0430\u0441\u0448\u0438\u0440\u044c\u0442\u0435 workflow!\n\n\u042d\u0442\u043e \u043b\u0438\u0448\u044c \u043e\u0442\u043f\u0440\u0430\u0432\u043d\u0430\u044f \u0442\u043e\u0447\u043a\u0430, \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0449\u0430\u044f, \u043a\u0430\u043a \u0438\u043d\u0442\u0435\u0433\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c Crawl4AI \u0438 n8n. \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435 \u044d\u0442\u0443 \u043e\u0441\u043d\u043e\u0432\u0443 \u0438 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044e Crawl4AI \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043b\u044e\u0431\u044b\u0445 RAG AI-\u0430\u0433\u0435\u043d\u0442\u043e\u0432. \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0442\u0430\u043a\u043e\u0433\u043e \u043f\u043e\u0434\u0445\u043e\u0434\u0430 \u0431\u0435\u0437\u0433\u0440\u0430\u043d\u0438\u0447\u043d\u044b!",
"height": 613.6610941618816,
"width": 589.875,
"color": 6
},
"id": "b5ec6832-c333-4f96-a52c-39d1ac50b441",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
860,
-100
]
}
],
"connections": {
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "XML",
"type": "main",
"index": 0
}
]
]
},
"XML": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "HTTP Request1",
"type": "main",
"index": 0
}
]
]
},
"Wait": {
"main": [
[
{
"node": "HTTP Request2",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request1": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request2": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "Supabase Vector Store",
"type": "main",
"index": 0
}
],
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Supabase Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Postgres Chat Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Vector Store Tool": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store1",
"type": "ai_embedding",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Vector Store Tool",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Supabase Vector Store": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Supabase Vector Store1": {
"ai_vectorStore": [
[
{
"node": "Vector Store Tool",
"type": "ai_vectorStore",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"meta": {
"templateCredsSetupCompleted": true
},
"tags": [],
"id": "wluqklqW9jx2eVsQ",
"versionId": "b45f4e5a-2b2b-4227-a2be-5d479171d79c"
}
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.
httpHeaderAuthopenAiApipostgressupabaseApi
Pro
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About this workflow
n8n-4-2: c4ai — Local Supabase RAG. Uses httpRequest, xml, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Event-driven trigger; 23 nodes.
Source: https://github.com/kossakovsky/n8n-install/blob/6b223b89648511a1df779e2c60fdd6cc88f62add/n8n/backup/workflows/n8n_4_2__c4ai___Local_Supabase_RAG.json — original creator credit. Request a take-down →
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