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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.