Google Gemma publishes developer guide for multimodal embedding with EmbeddingGemma 2

Google Gemma announced a developer guide for EmbeddingGemma 2, showing developers how to generate embeddings for text, code, images, video, audio, and interleaved inputs using the sentence-transformers library.

According to the announcement on X from the @googlegemma account, the guide walks through four steps: loading the model, embedding text and code with task prompts, embedding multimodal inputs, and optionally truncating dimensions with Matryoshka.

The report is a promotional post from Google's own account and does not include independent evaluation of the model's embedding quality or performance.