Natural Language Search (NLS) is a type of search interface that uses Artificial Intelligence (AI) to interpret and understand user queries in natural language, providing accurate and relevant results. Unlike traditional keyword-based searches, NLS relies on Natural Language Processing (NLP) techniques to extract meaning, context, and intent from user queries. This enables users to interact with databases or information systems in a more intuitive and conversational manner, reducing the need for precise keyword combinations and improving overall search experience. NLS is designed to simplify interactions by harnessing the power of NLP to translate natural-language input into structured commands or data filters needed to retrieve information. It enhances user satisfaction by providing more accurate and relevant results, allowing users to specify full, conversational sentences or questions that capture their specific requirements. By understanding relationships between criteria, NLS excels at complex queries, delivering precise results meeting all specified conditions. The system also improves upon traditional search by using semantic understanding, voice recognition, personalization, and multimodal search capabilities, providing a more intelligent, personalized, and context-aware experience. With its applications in e-commerce, virtual assistants, healthcare, education, customer support, and content management, NLS is redefining the way we access and interact with information, enhancing productivity and satisfaction. Encord facilitates the development of NLS systems by providing robust annotation tools, multimodal data management, and customizable workflows, enabling the creation of high-quality datasets and fine-tuning of foundation models to build contextually aware and highly responsive search systems.