Google Releases EmbeddingGemma 2 Multimodal Vector Model
The model enables offline retrieval-augmented generation applications and cuts local vector database storage by up to six times.
• Google released the open EmbeddingGemma 2 model to convert various media types into numerical vectors.
• The 740-million-parameter model outperforms rivals twice its size on multimodal benchmarks according to Google.
• The model runs locally via WebGPU, uses about 191 MB of RAM, and requires no API key.
Read more
October 7, 2026 19
