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Sentence Transformers (SBERT)
State-of-the-art Python framework for sentence, text, and image embeddings using siamese BERT networks, providing access to 15,000+ pre-trained models for semantic search, similarity comparison, and clustering.
SPLADE
Sparse Lexical and Expansion Model using BERT for learned sparse retrieval, combining the interpretability of lexical search with the semantic power of neural models for enhanced keyword search.
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