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Google’s Gemini Embedding 2 is the first unified multimodal embedding model that can process text, images, video, audio, and documents into the same vector space — eliminating the need for intermediate transformations that lose semantic context. The video walks through practical examples of cross-modal search, then builds out a full agentic file search application combining multimodal retrieval with clustering, classification, and cross-reference resolution.
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