Gemini's New File Search Just Leveled Up RAG Agents - 10x Cheaper

Learn how to implement Gemini's new File Search API to build cost-effective RAG (Retrieval-Augmented Generation) agents using n8n automation platform in this 19-minute tutorial. Discover how to leverage Gemini's file indexing and storage capabilities to create powerful document search systems without any coding requirements. Explore the complete workflow from setting up Gemini API authentication and uploading files to the Gemini File Store, to configuring RAG agents that can search through multiple documents efficiently. Master the process of analyzing search results and understand key considerations for accuracy and performance optimization. Follow along as the tutorial demonstrates practical implementation through evaluation testing on three PDF documents, covering important details about cost-effectiveness compared to traditional RAG solutions. Gain insights into best practices for reliable results and learn about the limitations and considerations when working with this new technology for document-based AI automation workflows.