# EmbeddingGemma

> Google's on-device multilingual embedding models built on Gemma

- Category: [Foundation Models](https://ailandscape.org/category/foundation-models) › Embedding Models
- Homepage: https://ai.google.dev/gemma/docs/embeddinggemma
- Tags: embeddings, multilingual, edge, open-weights
- Also known as: EmbeddingGemma 2
- Added to the landscape: 2026-10-09

## Similar tools in Embedding Models

- [ALIGN](https://ailandscape.org/tool/align): Google's large-scale visual-language embedding model
- [BGE-M3](https://ailandscape.org/tool/bge-m3): BAAI's multilingual dense, sparse, and multi-vector embeddings
- [CLIP](https://ailandscape.org/tool/clip): OpenAI's contrastive image-text embedding model
- [Cohere Embed](https://ailandscape.org/tool/cohere-embed): Cohere's multilingual, multimodal embedding models
- [E5](https://ailandscape.org/tool/e5): Microsoft's instruction-tuned text embedding model family
- [Gemini Embedding](https://ailandscape.org/tool/gemini-embedding): Google's API embedding models, near the top of MTEB
- [ImageBind](https://ailandscape.org/tool/imagebind): Meta's unified embedding across 6 modalities
- [Jina Embeddings](https://ailandscape.org/tool/jina-embeddings): Long-context multilingual text and multimodal embeddings

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Part of [AI Landscape](https://ailandscape.org), an open map of the AI ecosystem. Web page: https://ailandscape.org/tool/embeddinggemma · Index for AI assistants: https://ailandscape.org/llms.txt