Navigating the Knowledge Sea: Planet-scale answer retrieval using LLMs

Information retrieval is a rapidly evolving field of information retrieval, which is characterized by a continuous refinement of techniques and technologies, from basic hyperlink-based navigation to sophisticated algorithm-driven search engines. This paper aims to provide a comprehensive overview of the evolution of Information Retrieval Technology, with a particular focus on the role of Large Language Models (LLMs) in bridging the gap between traditional search methods and the emerging paradigm of answer retrieval. The integration of LLMs in the realms of …

algorithm basic continuous cs.cl cs.ir cs.lg evolution focus information knowledge llms navigation overview paper planet retrieval scale search technologies technology