What component should you add to the index to enable autocomplete functionality in a search solution?

To enable autocomplete functionality in a search solution, integrating a suggester is essential. A suggester is a specialized component that facilitates the retrieval of suggestions as a user types their query. By leveraging a suggester, the search system can provide instant responses with relevant terms or phrases based on the partial input from the user. This enhances the user experience by offering quick options and minimizing the effort required to find information.

The suggester utilizes the underlying index to generate these suggestions by analyzing the indexed terms, which is vital for building dynamic and responsive search features. This functionality is particularly valuable for applications where user input needs to be streamlined, such as in search bars on e-commerce websites or document management systems.

Other components, while useful in different contexts, do not serve the specific purpose of providing autocomplete features. For example, a synonym map helps in transforming queries based on related terms, a scoring profile adjusts how search results are scored and ranked, and a ranking profile defines how documents are prioritized in the results based on specified criteria. None of these components directly contribute to the real-time suggestion capability that a suggester provides.