The Gemini API File Search has been updated to include multimodal capabilities, allowing for more diverse file searches.

🌟✨ OMG, hold the press! The Gemini API File Search is now "multimodal"—whatever that means in techie-speak 🤯. Clearly, the #innovation world is SHOOK by the #groundbreaking ability to search files in more than one way. 🚀 Maybe soon they'll invent a search that can actually find something useful! 😂 https://blog.google/innovation-and-ai/technology/developers-tools/expanded-gemini-api-file-search-multimodal-rag/ #GeminiAPI #FileSearch #multimodal #technews #HackerNews #ngated

Gemini API File Search is now multimodal https://blog.google/innovation-and-ai/technology/developers-tools/expanded-gemini-api-file-search-multimodal-rag/ #HackerNews #GeminiAPI #FileSearch #multimodal #AI #innovation #technology

Gemini API File Search is now multimodal https://blog.google/innovation-and-ai/technology/developers-tools/expanded-gemini-api-file-search-multimodal-rag/ #ai #google

Gemini API File Search is now multimodal L: https://blog.google/innovation-and-ai/technology/developers-tools/expanded-gemini-api-file-search-multimodal-rag/ C: https://news.ycombinator.com/item?id=48080702 posted on 2026.05.09 at 23:22:02 (c=0, p=3)

Gemini API File Search is now multimodal ---- - 38 minutes ago | 4 points | 0 comments - URL: https://blog.google/innovation-and-ai/technology/developers-tools/expanded-gemini-api-file-search-multimodal-rag/ - Discussions: https://news.ycombinator.com/item?id=48080702 - Summary: Google has expanded the Gemini API's File Search tool with three major updates to help developers build efficient, verifiable retrieval-augmented generation (RAG) systems. First, multimodal support powered by the Gemini Embedding 2 model allows the tool to process and understand both text and images natively, enabling searches across visual archives using natural language descriptions. Second, custom metadata lets developers attach key-value labels to unstructured data and apply filters at query time, reducing noise and improving retrieval speed and accuracy. Third, page-level citations directly link the model's responses to specific source pages, enhancing transparency and trust for fact-checking. The tool handles the underlying infrastructure so developers can focus on building applications.