The multi-qa-mpnet-base-dot-v1 embedding model transforms sentences and short paragraphs into a 768-dimensional dense vector space, generating high-quality semantic embeddings optimized for question-and-answer retrieval, semantic search, and similarity-scoring across diverse content.
Sentence Transformers: multi-qa-mpnet-base-dot-v1 – Provider Status and Pricing
Providers for multi-qa-mpnet-base-dot-v1
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