# Welcome EmbeddingGemma, Google's new efficient embedding model

DevFeed: [Welcome EmbeddingGemma, Google's new efficient embedding model](<https://devfeed.tech/articles/welcome-embeddinggemma-google-s-new-efficient-embedding-model-7180.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/embeddinggemma>)

Author: Tom Aarsen; Joshua; Alvaro Bartolome; Aritra Roy Gosthipaty; Pedro Cuenca; Sergio Paniego

Published: 2025-09-04T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [sentence-transformers](<https://devfeed.tech/topics/sentence-transformers.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Google](<https://devfeed.tech/topics/google.md>), [Retrieval-Augmented Generation](<https://devfeed.tech/topics/retrieval-augmented-generation.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [transformers.js](<https://devfeed.tech/topics/transformers-js.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [onnx](<https://devfeed.tech/topics/onnx.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [LangChain](<https://devfeed.tech/topics/langchain.md>), [llamaindex](<https://devfeed.tech/topics/llamaindex.md>)

Tags: [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [community](<https://devfeed.tech/tags/community.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [google](<https://devfeed.tech/tags/google.md>), [guide](<https://devfeed.tech/tags/guide.md>), [langchain](<https://devfeed.tech/tags/langchain.md>), [llamaindex](<https://devfeed.tech/tags/llamaindex.md>), [nlp](<https://devfeed.tech/tags/nlp.md>), [on-device](<https://devfeed.tech/tags/on-device.md>), [onnx](<https://devfeed.tech/tags/onnx.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [rag](<https://devfeed.tech/tags/rag.md>), [sentence-transformers](<https://devfeed.tech/tags/sentence-transformers.md>), [transformers-js](<https://devfeed.tech/tags/transformers-js.md>)

## AI overview

Google introduces EmbeddingGemma, a compact multilingual embedding model designed for fast, efficient on-device use. The article covers its architecture, training, multilingual capabilities, benchmark performance, framework integrations, and domain fine-tuning for retrieval applications.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.