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OneRetrieval achieves the unprecedented feat of real-time editability in generative retrieval, significantly enhancing e-commerce search performance without compromising recall quality.
Reward your LLM's search queries like a discerning librarian: IG-Search uses information gain to give step-by-step feedback, boosting multi-hop reasoning without the annotation overhead.
LLMs for e-commerce search can now be trained and evaluated on a massive, realistic dataset spanning the entire search pipeline, unlike existing datasets with anonymized data and limited scope.
