Gemini Embedding 2: Multimodal RAG Over Your Images

Multimodal RAG Without an OCR Pipeline

For years, putting a chart, a scanned invoice, or a product photo into a retrieval system meant gluing together an OCR step, a captioning model, a vision-only embedding stack, and a separate text store. Each piece added latency, cost, and one more thing to break. Google just collapsed that whole pipeline into a single managed tool: the Gemini API File Search tool now runs on Gemini Embedding 2, the first natively multimodal embedding model in the Gemini family. It maps text, images, video, audio, and documents into one shared vector space, so a question typed in plain English can pull back the right slide image or the right paragraph from the same store.