The article introduces a new way to search databases using everyday language instead of technical jargon. Regular people without tech skills struggle to use databases efficiently with complex queries. The current methods, like structured queries or keyword-based searches, have drawbacks. The authors suggest a Natural Language approach for database searches. They developed a system that translates natural language queries into SQL queries, reducing execution time as the query becomes more complex. By removing unnecessary words and applying language tagging, they made it easier for users to find information quickly in databases.