Listing details
HiCyou directory record
- Listed website
- blog.google
- Directory record created
- Oct 13, 2026
- Last record update
- Oct 13, 2026
Listing information
- Overview
- 4 key features
- 3 use cases
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What is Google EmbeddingGemma 2
EmbeddingGemma 2 is Google DeepMind's open, lightweight multimodal embedding model. It maps text, code, images, video, and audio into a single shared embedding space, enabling cross-modal search from one query. At 740M parameters it is designed to run on-device, with weights released under the Apache 2.0 license on Hugging Face and Kaggle.
Key Features
Use Cases
- Cross-modal semantic search across text, images, video, and audio
- On-device applications requiring local, privacy-preserving embeddings
- Retrieval and search features built on open embedding models
Why do startups need this tool?
Startups can integrate an open, Apache 2.0-licensed multimodal embedding model without heavy infrastructure, enabling privacy-first, on-device search and retrieval features across multiple media types.
