Enhancing Search Accuracy with Adaptive Utility Agent

Created using ChatSlide

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...