EmbeddingGemma 2 Prompts: 70+ Powerful AI Search, RAG, Multimodal Retrieval and Semantic Search Prompts for 2026 EmbeddingGemma 2 Prompts: 70+ Powerful AI Search, RAG, Multimodal Retrieval and Semantic Search Prompts for 2026 AI search is changing quickly. Traditional search often depends on matching words. Modern semantic search tries to understand meaning . And the newest generation is going one step further: Text, code, images, audio, and video can all become searchable representations inside the same vector space. That is the idea behind EmbeddingGemma 2 , Google's new open-weight multimodal embedding model announced on October 6, 2026. Google describes EmbeddingGemma 2 as a 740-million-parameter multimodal embedding model that maps text, code, images, video, and audio into a unified embedding space. It is designed for on-device semantic search, retrieval, RAG, routing, and other applications where developers need compact and privacy-friendly AI infrastructure. Unlike a norm...