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EmbeddingGemma
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- Article · Google Development
Google Unveils EmbeddingGemma: A Best-in-Class Open Model for On-Device Embeddings
Google introduces EmbeddingGemma, a groundbreaking open-source embedding model with only 300M parameters. This compact model excels in retrieval-augmented generation (RAG) and boasts top performance on the MTEB leaderboard for multilingual text embeddings under 500M. Ideal for on-device AI, it integrates seamlessly with Ollama, llama.cpp, and LM Studio, empowering developers to build efficient, privacy-focused AI applications.
