Google Gemini Embedding 2: First Native Multimodal Embedding Model — Text, Image, Video, Audio in One Space

Google Blog·medium signal

Google DeepMind released Gemini Embedding 2 on March 10 in public preview via the Gemini API and Vertex AI — the first embedding model to natively map text, images, video (up to 120s), audio, and documents into a single unified numerical space without intermediate transcription steps. The model uses Matryoshka Representation Learning for flexible output dimensions (default 3072), supports 100+ languages, and reduces retrieval pipeline latency by up to 70% for some enterprise customers. This directly enables cross-modal RAG applications previously requiring multiple specialized models.