Search System

Search systems are evolving rapidly, driven by the need for faster, more accurate, and contextually relevant information retrieval. Current research focuses on integrating large language models (LLMs) to enhance various search stages, from query understanding and retrieval to ranking and answer generation, often unifying these tasks within a single LLM framework. This involves exploring novel architectures like search agents that learn to refine queries and optimize search strategies, alongside advancements in efficient indexing and retrieval techniques to handle the increased computational demands of LLMs. These improvements promise to significantly impact user experience and efficiency across diverse applications, from e-commerce to academic research.