Model dossier

Intfloat: 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,...

Context8,192
Max outputn/a
Pricing viewTVP price

Intfloat: E5-Base-v2

Model ID
intfloat/e5-base-v2
Canonical slug
intfloat/e5-base-v2-20251117
Knowledge cutoff
n/a
Created
11/18/2025
textembeddingsstructured
text->embeddingsembeddingstext
Context8,192
Max outputn/a
TokenizerOther