Build a RAG system by uploading PDFs to the Google Gemini File Search Store

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This workflow implements a Retrieval-Augmented Generation (RAG) system using Google Gemini's File Search API. It allows users to upload files to a dedicated search store and then ask questions about their content in a chat interface. The system automatically retrieves relevant information from the uploaded files to provide accurate, context-aware answers. Key Advantages 1. ✅ Seamless Integration of File Upload + AI Context The workflow automates the entire lifecycle: Upload file Index file