Challenges: The client app. boasting over 10 million downloads, suffered from a search functionality that struggled to deliver relevant results, frustrating users and hindering their ability to find desired information. The existing system relied on keyword matching or other basic search methods, which proved inadequate for understanding the nuances of natural language queries. This resulted in inaccurate or incomplete search results, leading to user dissatisfaction and potentially driving users away from the app. Developing the upgraded information retrieval system with NLP capabilities presented several challenges. Training NLP models to understand the specific language and terminology used within the app’s content and user base were crucial. Integrating the NLP system seamlessly with the existing app architecture and database while maintaining performance and scalability for millions of users was a complex technical undertaking. Handling variations in user search queries, including typos, slang, and ambiguous phrasing, required robust NLP algorithms. Additionally, evaluating and maintaining the 90% search accuracy rate as the app and its content evolved was also a challenge.