E5-Base-v2
Rank #372
intfloat
intfloat/e5-base-v2-20251117
Usage data date 2026-07-26 · updated daily
Usage and specs
Daily rank#372
Daily tokens3.7M
Daily requests4.3K
Daily change
+27.3%
Context window8.2K
What is E5-Base-v2
The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as semantic search, similarity scoring, retrieval and clustering.