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 ...
Template notes
🧠 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.