We developed a UI component retrieval system that combines transformer-based embeddings with generative preprocessing. This approach enables latent semantic queries using natural language expressions instead of strict term matches, resulting in significant improvements in precision@k metrics and mean reciprocal rank scores in our evaluation framework.
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