Today Google unveils the File Search Tool built into the Gemini API — a managed RAG system that abstracts the retrieval pipeline so you can focus on building. Can you imagine not having to assemble and tune your own embeddings pipeline, vector DB, and chunk management? File Search does that for you, with automatic citations and support for many formats.
What is File Search and why it matters
File Search is a fully managed RAG (retrieval-augmented generation) service inside the Gemini API. Instead of your app having to: create embeddings, store vectors, search, and then inject context into requests, File Search automates that flow and integrates it with generateContent.
Why does this change the developer experience? Because it reduces operational complexity: less infra, less glue code, fewer design decisions up front. For projects that need verifiable and relevant answers, this speeds you from prototype to production.
Google offers storage and query-time embedding generation for free. You only pay to create embeddings when you index files for the first time, at a fixed rate of 0.15 USD per 1M tokens using or the applicable embedding model.
