https://yakinin.com/en/tags/%23multilingualembedding/ Recent content in #MultilingualEmbedding on Home Hugo -- 0.148.2 en Fri, 05 Sep 2025 19:54:00 +0000 https://yakinin.com/en/posts/20250905-google-embeddinggemma-on-device-rag/ Fri, 05 Sep 2025 19:54:00 +0000 https://yakinin.com/en/posts/20250905-google-embeddinggemma-on-device-rag/ <p>I usually default to OpenAI for embeddings, but Google&rsquo;s new EmbeddingGemma model is a noteworthy development. It’s not just another model; it’s a strategic move that shows real promise for improving Retrieval-Augmented Generation (RAG) pipelines, especially in on-device and edge applications.</p> <h2 id="what-is-embeddinggemma">What is EmbeddingGemma?</h2> <p>Google has released EmbeddingGemma as a lightweight, efficient, and multilingual embedding model. At just 308M parameters, it’s designed for high performance in resource-constrained environments. This isn&rsquo;t just about making a smaller model; it&rsquo;s about making a <em>capable</em> small model.</p>