Query Expansion

Query expansion enhances information retrieval by augmenting initial search queries with related terms, improving the accuracy and comprehensiveness of search results. Current research focuses on leveraging large language models (LLMs) to generate these expansions, often incorporating techniques like retrieval-augmented generation (RAG) and incorporating knowledge graphs or other external knowledge sources to refine the process. This active area of research is significantly impacting various applications, from improving the performance of search engines and question-answering systems to enhancing object detection in computer vision and optimizing database queries.