EmbeddingGemma
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A to Z
- A · App
- No
- B · Built By
- Google DeepMind
- C · CEO & Politics
- Koray Kavukcuoglu (SVP, day-to-day lead) — No public partisan activity documented
- D · Date
- 2025
- E · Expertise
- Intermediate+
- F · Free Tier
- Yes
- G · Generates
- Text only
- H · Deployment
- Cloud + Local (open weights)
- I · Inputs
- Text
- J · Jurisdiction
- USA / UK
- K · Key Staffers
- Demis Hassabis (Chair, GDM; Chief Scientist, Alphabet), Shane Legg (Co-Founder, Chief AGI Scientist), Lila Ibrahim (COO), Sundar Pichai (Alphabet CEO)
- L · Languages
- English-primary
- M · Model Type
- Embeddings
- N · Safety Issues
- None reported
- O · Open Source
- Yes — open weights
- P · Pricing
- Free (open weights, Gemma Terms of Use)
- Q · AIDb Rating
- 7/10 · AIDb v2.0 (curated): Capability 6/10 · Currency 6/10 · Access 10/10 · Significance 6/10 → 6.60
- R · What Makes It Special
- Google's EmbeddingGemma (September 4, 2025), a 308M-parameter open text embedding model built on Gemma 3 for on-device search and retrieval-augmented generation; trained on 100+ languages with a 2K-token context, it outputs 768-dimension vectors that can be shortened to 512, 256 or 128 via Matryoshka learning, runs in under 200MB of RAM when quantized, and was the top open multilingual embedding model under 500M parameters on MTEB at launch. EmbeddingGemma 2 (740M) followed in October 2026.
- S · Stock / Status
- $344 (GOOGL, Sep 25, 2026)
- T · Training Cutoff
- [UNKNOWN]
- U · Users
- [UNKNOWN]
- V · Voice Chat
- No
- W · Weights
- Downloadable
- X · X Handle
- @GoogleDeepMind
- Y · Year Founded
- [UNKNOWN]
- Z · Bottom Line
- Open-weights Embeddings from Google DeepMind, released 2025.
Data completeness 88% · Last verified 2026-09-25 · Primary source ↗
Cite this
“EmbeddingGemma.” AIDb — The AI Database. Verified 2026-09-25. https://theaidatabase.com/m/google-deepmind-embeddinggemma.html
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