EmbeddingGemma is a 300M parameter embedding model developed by Google DeepMind, designed for generating vector representations of text for various tasks such as search, classification, and semantic similarity. It supports over 100 languages and is optimized for deployment in resource-constrained environments, making advanced AI accessible to a wider audience. Users must agree to Google's usage license to access the model via Hugging Face.