Model dossier

Sentence Transformers: all-mpnet-base-v2

The all-mpnet-base-v2 embedding model encodes sentences and short paragraphs into a 768-dimensional dense vector space, providing high-fidelity semantic embeddings well suited for tasks like information retrieval, clustering, similarity scoring, and...

Context8,192
Max outputn/a
Pricing viewTVP price

Sentence Transformers: all-mpnet-base-v2

Model ID
sentence-transformers/all-mpnet-base-v2
Canonical slug
sentence-transformers/all-mpnet-base-v2-20251117
Knowledge cutoff
n/a
Created
11/17/2025
textembeddingsstructured
text->embeddingsembeddingstext
Context8,192
Max outputn/a
TokenizerOther