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Organizing embeddings by activation patterns rather than treating them as fixed points can dramatically enhance retrieval efficiency and coverage in dense vector search.
Domain-specific triplet fine-tuning can dramatically enhance the performance of embedding models in distinguishing between similar entity records, achieving substantial gains in retrieval accuracy.