Build a RAG system by uploading PDFs to the Google Gemini File Search Store
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...
Template notes
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.
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Key Advantages
1. ✅ Seamless Integration of File Upload + AI Context
The workflow automates the entire lifecycle:
Upload file Index file Retrieve content for AI chat
Everything happens inside one n8n automation, without manual actions.