Derek Cheung This workflow corresponds to n8n.io template #2183 — we link there as the canonical source.
This workflow follows the Chainretrievalqa → Retrievervectorstore 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 →
{
"meta": {
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "01730710-e299-4e66-93e9-6079fdf9b8b7",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
2120,
0
],
"parameters": {
"color": 6,
"width": 903.0896125323785,
"height": 733.5099670584011,
"content": "## Step 2: Setup the Q&A \n### The incoming message from the webhook is queried from the Supabase Vector Store. The response is provided in the response webhook. "
},
"typeVersion": 1
},
{
"id": "66aed89e-fd72-4067-82bf-d480be27e5d6",
"name": "When clicking \"Execute Workflow\"",
"type": "n8n-nodes-base.manualTrigger",
"position": [
840,
140
],
"parameters": {},
"typeVersion": 1
},
{
"id": "9dc8f2a7-eeff-4a35-be52-05c42b71eee4",
"name": "Google Drive",
"type": "n8n-nodes-base.googleDrive",
"position": [
1140,
140
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "list",
"value": "1LZezppYrWpMStr4qJXtoIX-Dwzvgehll",
"cachedResultUrl": "https://drive.google.com/file/d/1LZezppYrWpMStr4qJXtoIX-Dwzvgehll/view?usp=drivesdk",
"cachedResultName": "crowdstrike.pdf"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 3
},
{
"id": "1dd3d3fd-6c2e-4e23-9c82-b0d07b199de3",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
0
],
"parameters": {
"color": 6,
"width": 772.0680602743597,
"height": 732.3675002130781,
"content": "## Step 1: Upserting the PDF\n### Fetch file from Google Drive, split it into chunks and insert into Supabase index\n\n"
},
"typeVersion": 1
},
{
"id": "4796124f-bc12-4353-b7ea-ec8cd7653e68",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 6,
"width": 710.9124489067698,
"height": 726.4452519516944,
"content": "## Start here: Step-by Step Youtube Tutorial :star:\n\n[](https://www.youtube.com/watch?v=pMvizUx5n1g)\n"
},
"typeVersion": 1
},
{
"id": "1e2ecc88-c8c7-4687-a2a1-b20b0da9b772",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1400,
320
],
"parameters": {
"options": {
"splitPages": true
},
"dataType": "binary"
},
"typeVersion": 1
},
{
"id": "6dd8545d-df8c-49ff-acf6-f8c150723ee8",
"name": "Recursive Character Text Splitter1",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1400,
460
],
"parameters": {
"options": {},
"chunkSize": 3000,
"chunkOverlap": 200
},
"typeVersion": 1
},
{
"id": "6899e2d6-965a-40cd-a34f-a61de8fd32ef",
"name": "Qdrant Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
1480,
140
],
"parameters": {
"mode": "insert",
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "crowd"
}
},
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.1
},
{
"id": "6136c6fb-3d20-44a7-ab00-6c5671bafa10",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"disabled": true,
"position": [
2180,
120
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "c970f654-4c79-4637-bec0-73f79a01ab59",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
2180,
320
],
"parameters": {
"path": "19f5499a-3083-4783-93a0-e8ed76a9f742",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "e05e9046-de17-4ca1-b1ac-2502ee123e5f",
"name": "Retrieval QA Chain",
"type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
"position": [
2420,
120
],
"parameters": {
"text": "={{ $json.chatInput || $json.body.input }}",
"options": {},
"promptType": "define"
},
"typeVersion": 1.5
},
{
"id": "ecf0d248-a8a9-45ed-8786-8864547f79b6",
"name": "Vector Store Retriever",
"type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
"position": [
2580,
320
],
"parameters": {
"topK": 5
},
"typeVersion": 1
},
{
"id": "4fb1d8ac-bc6f-4f99-965f-7d38ea0680e0",
"name": "Qdrant Vector Store1",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
2540,
460
],
"parameters": {
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "={{ $json.body.company }}"
}
},
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.1
},
{
"id": "66868422-39c9-4e76-99b9-a77bb613b248",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2420,
340
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "f290f809-3b4e-42e3-bfb5-d505566d9275",
"name": "Embeddings OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
2520,
580
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "c360f7b3-2ae4-4ebd-85ca-f64c3966e65d",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1700,
320
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "9223d119-b5a7-40d4-b8da-f85951b52bde",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
2840,
120
],
"parameters": {
"options": {},
"respondWith": "text",
"responseBody": "={{ $json.response.text }}"
},
"typeVersion": 1.1
}
],
"connections": {
"Webhook": {
"main": [
[
{
"node": "Retrieval QA Chain",
"type": "main",
"index": 0
}
]
]
},
"Google Drive": {
"main": [
[
{
"node": "Qdrant Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Retrieval QA Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store1",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Retrieval QA Chain": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Qdrant Vector Store1": {
"ai_vectorStore": [
[
{
"node": "Vector Store Retriever",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Vector Store Retriever": {
"ai_retriever": [
[
{
"node": "Retrieval QA Chain",
"type": "ai_retriever",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "Retrieval QA Chain",
"type": "main",
"index": 0
}
]
]
},
"When clicking \"Execute Workflow\"": {
"main": [
[
{
"node": "Google Drive",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter1": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
}
}
}
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.
googleDriveOAuth2ApiopenAiApiqdrantApi
Pro
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About this workflow
Using a Crew of AI agents (Senior Researcher, Visionary, and Senior Editor), this crew will automatically determine the right questions to ask to produce a detailed fundamental stock analysis.
Source: https://n8n.io/workflows/2183/ — original creator credit. Request a take-down →
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