Gemini API File Search Gains Multimodal Retrieval
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- Gemini API File Search now supports multimodal retrieval, processing images and text together via the Gemini Embedding 2 model.
- Gemini API File Search lets developers attach custom key‑value metadata to files and filter queries by these labels, cutting irrelevant results and speeding up RAG pipelines.
- Gemini API File Search adds page‑level citations, returning the exact PDF page number for each extracted answer to improve transparency.
- Gemini API File Search is built for both quick prototypes and production‑scale apps serving thousands of users, handling file upload and indexing infrastructure.
Why it matters: Developers building RAG apps for thousands of users gain faster, more accurate search across text and images, while page‑level citations let end‑users verify answers instantly, reducing support overhead and increasing trust.
