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⚡️ EmbeddingGemma 2 puts text, code, images, video and audio in one vector space

Google dropped an open embedding model built on Gemma 4. The text path is just 270M params, with an 8K context window and a claimed 14% gain on code retrieval over v1.

Qdrant's early tests say quantized vectors keep 99% of quality with 30x less RAM. Phone-sized RAG is getting real.
Google EmbeddingGemma 2: an open, lightweight multimodal embedding model Introducing EmbeddingGemma 2, an open multimodal embedding model optimized for privacy-first use cases
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