Build enterprise RAG system with Google Gemini file search & retell AI voice
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 end. This workflow is designed for AI automation agencies, SMBs, enterprise teams, and internal AI copilots. --- 📌 Who Is This For? - Enterprise teams building internal search copilots - AI automation agencies delivering RAG products to clie
At a glance
Build enterprise RAG system with Google Gemini file search & retell AI voice is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects Google Sheets, Google Drive, LinkedIn, Gemini. It's free to download. Follow the 5-step import below to go live in minutes.
- Platform
- n8n
- Connects
- Google Sheets, Google Drive, LinkedIn, Gemini
- Modules
- 15
- Price
- Free
- Version
- v1.0

About this workflow
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 end. This workflow is designed for AI automation agencies, SMBs, enterprise teams, and internal AI copilots. --- 📌 Who Is This For? - Enterprise teams building internal search copilots - AI automation agencies delivering RAG products to clients - SMBs wanting automated knowledge lookup - Anyone needing a production-ready, zero-Pinecone RAG workflow --- 🚧 Problem This Solves Traditional RAG requires: - Vector DB setup - Embedding jobs - Chunking pipelines - Custom search APIs Gemini File Search eliminates all of this — you simply create a store and upload files. Indexing, chunking, embeddings = fully automated. This workflow turns that into a plug-and-play enterprise template. --- 🧩 What This Workflow Does (High-Level) 1️⃣ Create a Gemini File Search Store - Calls fileSearchStores API - Creates a persistent embedding store - Automatically saved to Google Sheets for future retrieval 2️⃣ Auto-Upload Documents from Google Drive When a new file is added: - Download → Start resumable upload → Upload actual bytes - Gemini auto-indexes the document for retrieval 3️⃣ Chat-Based Retrieval (Chat Trigger) User question → Gemini File Search → Short, precise answer returned. 4️⃣ Voice Search (Retell AI Agent) Your Gemini RAG can now be searched by voice. --- 🎙️ Retell AI (JARVIS) Voice Agent – Integration Steps 🔧 Step 1 — Paste This Prompt Into Retell AI You are JARVIS, an advanced AI assistant designed to help user with their daily tasks. Always call the user “Sir”. You remember the user's name and important details to improve the experience. Whenever the user asks for information that requires external lookup: Make a short, witty remark related to their request. Immediately call the n8n tool — do NOT repeat the question back. Be concise, professional, and efficient. n8n tool call: Use this tool for all knowledge-based or RAG lookups. It sends the user’s query to the n8n workflow. JSON Schema: { "type": "object", "properties": { "query": { "type": "string", "description": "The user’s full request for JARVIS to process." } }, "required": ["query"] } --- 🔧 Step 2 — Add This URL to Retell (YOUR WEBHOOK) Paste the webhook URL from your Respond to Webhook node: ← replace with your actual webhook ID This is the endpoint Retell calls every time the user speaks. --- 🔧 Step 3 — End-to-End Flow 1. User speaks to JARVIS 2. Retell sends query → n8n 3. n8n forwards query to Gemini using File Search 4. Gemini returns answer 5. Retell speaks the response out loud You now have a voice-powered enterprise RAG agent. --- 📦 Requirements - Google Gemini File Search API access - Google Drive folder for document uploads - Retell AI agent - n8n instance - (Optional) Google Sheets for storing store IDs --- 📝 Estimated Setup Time ⏱️ 25–30 minutes (end-to-end) --- 👨💻 Template Author Sandeep Patharkar Founder – FastTrackAI AI Automation Architect | Enterprise Workflow Designer 🔗 Website: 🔗 LinkedIn: 🔗 Skool Community: 🔗 YouTube: --- 🏁 Summary This template gives you a full enterprise RAG infrastructure: - Automatic document indexing - Gemini File Search retrieval - Chat + Voice interfaces - Zero-vector-database setup - Seamless Retell AI integration - Fully production-ready Perfect for creating internal AI copilots, employee knowledge assistants, client-facing search apps, and enterprise RAG systems.
How to import this n8n workflow
- 1
Download the workflow JSON file after purchase.
- 2
Open n8n → click the menu → Import from File.
- 3
Select the downloaded JSON and import.
- 4
Set up credentials for each node that requires them.
- 5
Click Execute Workflow to test, then activate.
Setup guide
Setup guide included
Purchase to unlock the full step-by-step guide
Related N8n workflows
Send a Gmail message from a LinkedIn Lead Gen Forms submission
Create a new row in Google Sheets for every new lead from Facebook Lead Ads and send a message to Slack
List invoices from Mollie in Google Sheets spreadsheet
Auto-generate Facebook posts from video insights using Dumpling AI + GPT-4o
AI testimonial extractor agent: feedback to marketing gold
Turn your portfolio into an AI assistant with OpenAI, Claude, Pinecone and Gmail
Auto-follow-up for canceled Calendly meetings with GPT-4, Loom & Asana
Index Google Drive files into a Supabase vector store with OpenAI embeddings
Reviews
No reviews yet
Be the first to buy and share your experience.
Leave a review
Sign in to share your experience with this workflow.
Create a free account to purchase workflows.
- JSON blueprint — instant download
- Setup guide PDF included
- 5 downloads · valid 30 days
- Works with n8n
Need help setting this up?
Book a 3-hour live setup session with an Agility consultant.
- Configure live on Google Meet / Zoom
- Free follow-up if workflow has defects
- Platform expert assigned to you