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 text ranking.
Sentence Transformers: all-mpnet-base-v2 – Provider Status and Pricing
Providers for all-mpnet-base-v2
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