This is an open-source sentence embedding model from the sentence-transformers library, specifically trained for multi-query answer passage retrieval. It generates high-quality dense vector representations of sentences and paragraphs that can be compared using cosine similarity. The model is widely used in semantic search, information retrieval, and RAG systems by developers integrating it via the Hugging Face ecosystem.
Multi Qa Mpnet Base Cos sits in PulseGate's Foundation models & chat category. It focuses on converting variable-length text into fixed-length dense vector representations for semantic search and retrieval. It is built as an open-source project for developers. Multi Qa Mpnet Base Cos is open source under the Apache-2.0 license. It runs on the command line and API.
Behind Multi Qa Mpnet Base Cos is sentence-transformers, and the product first shipped in 2023. Development happens publicly on GitHub with 4.9k stars and 7 commits in the last 90 days. Key capabilities include Sentence Embeddings, Cosine Similarity, and Multi-Query Retrieval.
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