Google released EmbeddingGemma, a lightweight embedding model targeting efficient, high-performance applications. EmbeddingGemma is designed for use cases like text classification, clustering, and semantic search. It offers a balance of accuracy and efficiency, making it suitable for builders who need high-quality embeddings without high computational costs. The model is available on Hugging Face.