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UEmbed achieves a groundbreaking unification of dense and sparse embeddings, outperforming existing models in multimodal tasks while streamlining the retrieval process.
Traditional code retrieval methods falter in agentic coding, but CORE-Bench reveals that fine-tuning can bridge the gap and boost performance significantly.
