Gemini API File Search is now multimodal
blog.google
May 10, 2026
2 min read
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Summary
Gemini API's File Search tool now supports multimodal data and custom metadata for building retrieval-augmented generation (RAG) systems. The update includes page citations to enhance grounding and transparency, enabling better organization of text and visual content.
Key Takeaways
- The Gemini API File Search tool now supports multimodal data, allowing for the integration of both text and images in retrieval-augmented generation (RAG) systems.
- Custom metadata can be applied to unstructured data, enabling more efficient filtering and organization during data retrieval.
- The updated File Search includes page citations, linking responses to specific locations in original documents for improved transparency and trust in information sourcing.
- The Gemini API simplifies the process of uploading and searching files, enabling developers to focus on building applications without managing heavy infrastructure.