EmbeddingGemma 2: An open, lightweight multimodal embedding model
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EmbeddingGemma 2 introduces an open-weights, lightweight model that unifies text and image inputs into a single embedding space, eliminating the need to coordinate separate visual and textual vector pipelines. This allows you to deploy low-latency, cost-effective multimodal RAG and semantic search architectures entirely on your own local inference hardware.
Gemma 2 is a new open, lightweight multimodal embedding model capable of handling multiple data types. This enables production environments to potentially integrate multimodal processing without relying on proprietary models, reducing dependency on specific vendors. Shipping with this model could simplify multimodal capability integration for LLM and agent applications.