Google EmbeddingGemma 2
An open, lightweight multimodal embedding model
Get picks like this daily. The day's top launches, AI/tech news, and a weekly opportunity spotlight — straight to your inbox.
This is 1 of 37 launches in frontier AI models and API gateways — see how it stacks up on momentum and crowding →
90 other launches read as similar to this one →
Details
- External ID
- 1271805
- Source
- PH
- Company
- —
- Product
- Google EmbeddingGemma 2
- Website domain
- producthunt.com
- Launched
- Oct. 12, 2026
- Cohort
- —
- Upvotes
- 189
- Upvotes percentile
- 1.00
- Tags
- Artificial Intelligence, Audio, Video
Description
EmbeddingGemma 2 is Google DeepMind's open embedding model that maps text, code, images, video and audio into one shared space, so you can search across them from a single query. At 740M parameters it runs on-device, needing about 567MB of RAM on a Pixel 11 Pro for the full multimodal model (191MB for text only). Apache 2.0 licensed, with weights on Hugging Face and Kaggle. MTEB Code score rises from 68.76 to 78.68.
Enrichment
- Niche
- frontier AI models and API gateways
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- multimodal embedding model for developers
- Manually corrected
- False
Could you build this?
No EmbeddingGemma 2 is a frontier multimodal foundational embedding model developed by Google DeepMind requiring massive compute clusters, dataset curation, and deep ML research.
What it would actually take: Building a multimodal foundational embedding model requires hundreds of GPUs/TPUs, petabytes of aligned text/image/video/audio pairs, contrastive learning architectures, and quantization expertise for low-memory edge deployment. This demands a team of world-class AI research scientists and millions of dollars in compute infrastructure.
Competitors
Other products that read as similar to this one — 90 launches clear the similarity bar, closest 8 shown.
Attention rank: #3 of 91 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 336 days after the earliest competitor.
- Gemini Embedding 2 · ph · 2026-03-11 · 241 upvotes · similarity 0.56
- giga-embeddings-10B-A1.8B_hybrid · github · 2026-09-25 · 41 upvotes · similarity 0.44
- Unified multimodal memory framework, without embeddings · hn · 2026-01-07 · 7 upvotes · similarity 0.43
- EmbedFlow –> Upgrade embedding models without re-embedding your corpus · hn · 2026-09-09 · 6 upvotes · similarity 0.40
- Drift · hn · 2026-06-10 · 6 upvotes · similarity 0.40
- TurboQuant · ph · 2026-03-25 · 295 upvotes · similarity 0.40
- dlm-mmd · github · 2026-10-06 · 12 upvotes · similarity 0.39
- Autofit2 · hn · 2026-06-25 · 28 upvotes · similarity 0.39
Other launches for this product
- No other launches for this product.