Rahul was skeptical, but Karan convinced him to give it a try. They implemented the Trie data structure, and to their surprise, the search functionality improved dramatically. The search time reduced from several seconds to milliseconds, even with a large product catalog.

Rahul and Karan were two software engineers working for a startup that provided e-commerce solutions to clients. They were tasked with optimizing the search functionality of their platform, which was experiencing rapid growth.

Meanwhile, Karan, a senior programmer, had been studying data structures and algorithms in his free time. He had read Narasimha Karumanchi's book, "Data Structures and Algorithms Made Easy," which provided clear explanations and examples of various data structures and algorithms.

Karan suggested using a more efficient data structure, such as a Trie (also known as a prefix tree), to store the product catalog. He explained to Rahul that a Trie would allow for fast lookup and retrieval of products matching a search query.

Rahul, a junior programmer, decided to use a simple linear search algorithm to find products matching a user's search query. He quickly implemented the solution, but as the number of products and users increased, the search function began to slow down significantly.