Sentence Transformers: multi-qa-mpnet-base-dot-v1
sentence-transformers/multi-qa-mpnet-base-dot-v1 · text->embeddings · 0k ctx · added 2025-11-18
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$5e-9/M tokens
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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.
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openrouter/sentence-transformers/multi-qa-mpnet-base-dot-v1
3.4M/d
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$5e-9/M tokens
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