Record · corpus.blog/posts/01a07d5d-72e7-7112-bd07-c1551f8c3fc1

Welcome EmbeddingGemma, Google's new efficient embedding model

Hugging Face · published 4 September 2025

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3blogs citing

First cited: 5 Sept 2025
Most recent: 24 Oct 2025
Rank this month: not ranked
External links: 18
Words captured: 6,609

Cited by

Blog

In the post

Date

zikani_03

How to use EmbeddingGemma to generate embeddings in Go Read at the source ↗

24 Oct 2025

glaforge.dev

In-browser semantic search with EmbeddingGemma Read at the source ↗

8 Sept 2025

seroter.com

Daily Reading List – September 5, 2025 (#622) Read at the source ↗

5 Sept 2025

Links from this post

Link

Host

https://sbert.net/

sbert.net

https://arxiv.org/abs/2507.11412

arxiv.org

https://sbert.net/docs/package_reference/sentence_transformer/SentenceTransformer.html

sbert.net

https://sbert.net/examples/sentence_transformer/training/matryoshka/README.html

sbert.net

https://python.langchain.com/api_reference/huggingface/embeddings/langchain_huggingface.embeddings.huggingface.HuggingFaceEmbeddings.html

python.langchain.com

https://docs.llamaindex.ai/en/stable/examples/embeddings/huggingface/

docs.llamaindex.ai

https://docs.haystack.deepset.ai/docs/inmemoryembeddingretriever

docs.haystack.deepset.ai

https://www.npmjs.com/package/@huggingface/transformers

npmjs.com

https://github.com/huggingface/text-embeddings-inference/releases/tag/v1.8.1

github.com

https://platform.openai.com/docs/api-reference/embeddings/create

platform.openai.com

https://huggingface.github.io/text-embeddings-inference/

huggingface.github.io

https://onnxruntime.ai/

onnxruntime.ai

https://sbert.net/docs/sentence_transformer/training_overview.html

sbert.net

https://sbert.net/docs/package_reference/sentence_transformer/losses.html

sbert.net

https://sbert.net/docs/package_reference/sentence_transformer/sampler.html

sbert.net

https://sbert.net/docs/package_reference/util.html

sbert.net

https://developers.googleblog.com/en/introducing-embeddinggemma/

developers.googleblog.com

https://arxiv.org/abs/2509.20354

arxiv.org

Elsewhere on huggingface.co (17)

https://huggingface.co/collections/google/embeddinggemma-68b9ae3a72a82f0562a80dc4

huggingface.co

https://huggingface.co/models?library=sentence-transformers&sort=downloads

huggingface.co

https://huggingface.co/sentence-transformers/embeddinggemma-300m-medical

huggingface.co

Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM Read at the source ↗

huggingface.co

🪆 Introduction to Matryoshka Embedding Models Read at the source ↗

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https://huggingface.co/spaces/mteb/leaderboard

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https://huggingface.co/spaces/webml-community/semantic-galaxy

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https://huggingface.co/docs/text-embeddings-inference/en/index

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https://huggingface.co/docs/transformers.js/index

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https://huggingface.co/docs/transformers.js/en/index

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https://huggingface.co/datasets/miriad/miriad-4.4M

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https://huggingface.co/datasets/tomaarsen/miriad-4.4M-split

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https://huggingface.co/google/embeddinggemma-300m

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Training and Finetuning Embedding Models with Sentence Transformers Read at the source ↗

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Training and Finetuning Reranker Models with Sentence Transformers Read at the source ↗

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Training and Finetuning Sparse Embedding Models with Sentence Transformers Read at the source ↗

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Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval Read at the source ↗

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