Google has launched the File Search Tool as part of its Gemini API. This tool simplifies the retrieval-augmented generation (RAG) process for developers, enabling them to focus on building applications without worrying about the complexities of data retrieval. File Search offers a cost-effective model: while creating embeddings for file indexing costs $0.15 per million tokens, storage and embedding generation during queries are free. The File Search Tool enhances the development workflow by automating tasks like file storage, optimal chunking strategies, and injecting relevant context into prompts. It leverages Google’s advanced Gemini Embedding model for vector search, allowing it to understand queries even when the exact phrasing isn't matched. The responses generated include built-in citations, making it easier for users to verify the information. It supports a variety of file formats, including PDF, DOCX, and JSON, allowing developers to create a comprehensive knowledge base. Early adopters are already leveraging the File Search Tool for various applications, such as intelligent support bots and internal knowledge assistants. One notable example is Beam, a game generation platform that runs thousands of searches daily, drastically reducing the time it takes to cross-reference data from hours to under two seconds. Developers interested in using the File Search Tool can access documentation and demo apps to get started immediately.