iamvaar This workflow corresponds to n8n.io template #7188 — we link there as the canonical source.
This workflow follows the Chainllm → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
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},
"nodes": [
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{
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{
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"name": "Search Embeddings",
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"parameters": {},
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{
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{
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{
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"name": "Content for the Training",
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{
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{
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"name": "Embedding Uploaded document",
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"parameters": {},
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{
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{
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"type": "n8n-nodes-base.manualTrigger",
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"parameters": {},
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{
"id": "d6b9cf3d-5b0d-4f6a-8ac0-7166c029063b",
"name": "Google Vertex Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleVertex",
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"connections": {
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},
"Search Embeddings": {
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{
"node": "Aggregate",
"type": "main",
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},
"Embend User Message": {
"main": [
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{
"node": "Search Embeddings",
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},
"Splitting into Chunks": {
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{
"node": "Embedding Uploaded document",
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},
"Content for the Training": {
"main": [
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{
"node": "Splitting into Chunks",
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},
"Google Vertex Chat Model": {
"ai_languageModel": [
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{
"node": "Basic LLM Chain",
"type": "ai_languageModel",
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},
"Embedding Uploaded document": {
"main": [
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},
"When clicking \u2018Execute workflow\u2019": {
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"node": "Content for the Training",
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}
}
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About this workflow
Execution video: Youtube Link
Source: https://n8n.io/workflows/7188/ — original creator credit. Request a take-down →
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