Enhancing Search Accuracy with Adaptive Utility Agent
Enhancing Search Accuracy with Adaptive Utility Agent
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This presentation explores the development of a hybrid search system, starting with project objectives and its significance in enhancing user experience. Background concepts such as limitations of traditional search methods like BM25 and TF-IDF are discussed, leading to the introduction of semantic search. The project’s three-stage architecture design is explained, incorporating Bayesian learning for improving relevance and diversity of results. Examples highlight performance metrics like...