Zakaria Ben This workflow corresponds to n8n.io template #3250 — we link there as the canonical source.
This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"id": "DMhzwW0cXxIdPi3r",
"name": "Template Supabase Postgres",
"tags": [],
"nodes": [
{
"id": "01e09572-b92d-4c8e-8412-aaa4137f10b9",
"name": "When chat message received",
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{
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{
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{
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{
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{
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{
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"name": "Retrieve and push documents",
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{
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{
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"active": false,
"settings": {
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"connections": {
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{
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"Your Chat Memory": {
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},
"Embeddings OpenAI": {
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{
"node": "Retrieve and push documents",
"type": "ai_embedding",
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},
"OpenAI Chat Model": {
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{
"node": "RAG AI Assistant",
"type": "ai_languageModel",
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]
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},
"Embeddings OpenAI1": {
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{
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"type": "ai_embedding",
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},
"Default Data Loader": {
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{
"node": "Storing documents",
"type": "ai_document",
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]
},
"When chat message received": {
"main": [
[
{
"node": "RAG AI Assistant",
"type": "main",
"index": 0
}
]
]
},
"Retrieve and push documents": {
"ai_tool": [
[
{
"node": "RAG AI Assistant",
"type": "ai_tool",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Google Drive",
"type": "main",
"index": 0
}
]
]
}
}
}
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About this workflow
This guide is designed for developers, data scientists, and AI enthusiasts who want to create intelligent chatbots capable of understanding and using custom data. Whether you are building a research assistant, a customer support bot, or an internal knowledge base tool, this…
Source: https://n8n.io/workflows/3250/ — original creator credit. Request a take-down →
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