Build enterprise RAG system with Google Gemini file search & retell AI voice
Ready for 3.0What this workflow does
This AI workflow has 15 nodes and runs manually, when you click “Execute workflow” (plus 3 other triggers). Along the way it connects Google Drive, Google Sheets, Google Gemini Chat Model and HTTP Request.
How it runs
Trigger: Manually, when you click “Execute workflow” (plus 3 other triggers).
- Create Gemini File Search Store (HTTP Request): calls an HTTP API
- Get File Search Store (Google Sheets): uses Google Sheets
- Edit Fields (Edit Fields (Set)): sets or maps fields
- Store File Store (Google Sheets): uses Google Sheets
- Initial File Upload to Gemini Search (HTTP Request): calls an HTTP API
- AI Powered RAG Agent (AI Agent): runs an AI agent, with model: Google Gemini Chat Model; 1 tool (Search Tool)
- Download file (Google Drive): uses Google Drive
- Respond to Webhook: sends the response back to the webhook caller
- Upload the Actual File (HTTP Request): calls an HTTP API
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 (12)
- Manual Trigger
n8n-nodes-base.manualTrigger - HTTP Request
n8n-nodes-base.httpRequest - Google Drive Trigger
n8n-nodes-base.googleDriveTrigger - Google Drive
n8n-nodes-base.googleDrive - Google Sheets
n8n-nodes-base.googleSheets - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Http Request Tool
n8n-nodes-base.httpRequestTool - Edit Fields (Set)
n8n-nodes-base.set - Webhook
n8n-nodes-base.webhook - Respond to Webhook
n8n-nodes-base.respondToWebhook - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
🧠 Enterprise RAG System with Google Gemini File Search + Retell AI Voice Agent Build a complete enterprise-grade RAG pipeline using Google Gemini’s brand-new File Search API, combined with a powerful Retell AI voice agent (JARVIS) as the conversational front…