Elastic App Search, built on top of Elasticsearch, offers a user-friendly solution for implementing advanced search functionalities such as autocomplete, faceting, and tune-able relevance with a concise API and an intuitive admin dashboard accessible to both developers and non-developers. Despite exposing fewer APIs compared to Elasticsearch, App Search supports complex data models and relevance scoring requirements through features like Result Grouping and Boosting. Result Grouping helps streamline search results by aggregating them at a higher level, enhancing user experience by preventing overwhelming displays of similar items. Boosting, including Value, Functional, and Proximity Boosts, allows fine-tuning of search result scores based on various field values and functions, providing control over how specific attributes influence search rankings. These features are configurable via the Admin Dashboard, making it possible for non-developers to adjust search parameters without modifying application code, offering flexibility and ease of integration for a range of search use cases.