Google Releases EmbeddingGemma 2: Open Multimodal On‑Device Model
EmbeddingGemma 2 is a 740M‑parameter open multimodal embedding model from Google, running on‑device for text, code, images, video and audio, enabling private local RAG with Gemma 4.
Google released EmbeddingGemma 2.
This is the first open multimodal model for embeddings, initially working with text, code, images, video, and audio.
740 million parameters. Modular architecture. The model is designed to run directly on-device rather than in a data center.
At the same time, it bypasses some specialized models that are more than twice as large.
When paired with Gemma 4, you can build a fully local RAG with a focus on privacy.
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