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Gemini API File Search is now multimodal

Google announces three major updates to the Gemini API File Search tool: multimodal support for images and text, custom metadata filters, and page-level citations. These features enable more efficient and verifiable retrieval-augmented generation (RAG) by allowing apps to search across visual assets, filter by metadata, and trace answers to specific source pages.

SourceHacker News AIAuthor: gmays
Gemini API File Search is now multimodal
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Multimodal search processes both images and text natively using Gemini Embedding 2.
  • Custom metadata labels (e.g., department, status) reduce noise by filtering at query time.
  • Page-level citations link model responses to exact source pages for verification.
  • Designed to simplify RAG workflows for developers from prototypes to production.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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