How suggested search and autocomplete work together | Algolia

Suggested search, also known as predictive search or query suggestions, is a feature that predicts the remaining part of a user's search term as they type. It utilizes artificial intelligence to analyze browsing and search history data to generate relevant suggestions. These suggestions can be edited in real-time based on new input from users. The main difference between suggested search and autocomplete lies in their functions; query suggestions are generated from text input, while autocomplete is the user interface that allows interaction with predicted search items or query suggestions. Amazon and Google have some of the best search suggestion features, but many other websites also use similar technologies to enhance user experience. Search suggestions not only help users find information online more efficiently but can also be used to optimize ecommerce sites and increase conversions. Algolia is a search-as-a-service partner that provides tools for creating personalized search experiences based on user data, including autocomplete suggestions, instant search results, and federated search.