Users' interactions with search engines have been completely transformed with the introduction of large language models (LLMs) like ChatGPT. A more dynamic and intuitive user experience is provided by ChatGPT, which allows conversational and exploratory search interactions in contrast to typical search engines that focus on keyword-based searches. Examining how search interactions have changed over time, how ChatGPT has redefined these interactions, and how conventional search techniques and methods might be adapted for prompt-based procedures are all covered in this study. The study provides a methodology for incorporating ChatGPT into search systems and considers its implications for knowledge discovery, user behavior, and information retrieval by examining the body of current research. The article ends with some observations on how search interactions may develop in the future and how LLMs could change the way people think about information consumption.