Client FAQ bot with RAG using Google Drive PDFs & Azure GPT-4o-mini
Ready for 3.0What this workflow does
This AI workflow has 10 nodes and runs when an HTTP GET request hits its webhook URL. Along the way it connects Google Drive and Azure OpenAI Chat Model.
How it runs
Trigger: When an HTTP GET request hits its webhook URL.
- Edit Fields (Edit Fields (Set)): sets or maps fields
- Search files and folders (Google Drive): uses Google Drive
- Download File (Google Drive): uses Google Drive
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Extract from File: extracts data from a file
- Edit Fields (Edit Fields (Set)): sets or maps fields
- Basic LLM Chain: sends a prompt to an LLM, with model: Azure OpenAI Chat Model
- Return Answer (Respond to Webhook): sends the response back to the webhook caller
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (8)
- Google Drive
n8n-nodes-base.googleDrive - Respond to Webhook
n8n-nodes-base.respondToWebhook - Webhook
n8n-nodes-base.webhook - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Azure OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatAzureOpenAi - Edit Fields (Set)
n8n-nodes-base.set - Extract from File
n8n-nodes-base.extractFromFile - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches
From the author
Description: Build your own AI-powered Client FAQ system with Retrieval-Augmented Generation (RAG) — fully automated using n8n, Google Drive, and Azure OpenAI (GPT-4o-mini). This no-code automation enables your clients or team to ask questions through a…