Gemini · Google Blog
Gemini API File Search is now multimodal
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They're introducing three major updates to the Gemini API File Search tool: multimodal support, custom metadata and page-level citations.
Key facts
- They're introducing three major updates to the Gemini API File Search tool: multimodal support, custom metadata and page-level citations
- Explore more code snippets in their developer guide and Gemini API documentation to learn how to build with File Search
- File Search now ties the model’s response directly to the original source
- You can now build retrieval-augmented generation (RAG) systems with multimodal data and custom metadata
Summary
Whether you are prototyping a weekend project or scaling a production application for thousands of users, your RAG systems can now natively process and better organize your text and visual data. Think of a creative agency trying to dig up a specific visual asset. Dumping files into a database is easy. By applying metadata filters at query time, your application can scope requests to the data slice required.