Introducing EmbeddingGemma 2: An open model for natively multimodal embeddings

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Introduction of EmbeddingGemma 2, a 740M parameter open model that generates unified embeddings across text, images, video, and audio modalities. Designed for on-device deployment with offline capabilities, enabling privacy-sensitive RAG pipelines and instant media search without cloud connectivity. Ideal for ML engineers building edge AI applications.