Data as of Oct 15, 2026Based on 11,700 AI responses
Reviewed by Dimitry Apollonsky
AI summary
intfloat/e5-small-v2 is a text embedding model with 12 layers and a 768-dimensional embedding size, trained using weakly supervised contrastive pre-training.
Hosted on Hugging Face
<1%
of 11,700 answers across intfloat/e5-small-v2’s markets · since Jul 5
The market map
Embedding Model APIs and ServicesMentioned in
Share of answers in Embedding Model APIs and Services each week · 349 answers since Jul 5
Each engine’s share of its own answers across intfloat/e5-small-v2’s markets · since Jul 5
Where intfloat/e5-small-v2 ranks in AI
huggingface.co 0%Other sites 100%