If we have the вЂњ my little ponyвЂќ phrase in our index, it should show when the user types: Match as a suggest everything that starts exactly with the phrase _ Implementing single term suggestions with Solr Solr supports all three of these approaches via field type, which defines how data in a given field is interpreted and queried. The third method matches everything that contains a subphrase of the complete phrase as long as itвЂ™s in the correct order, i.e.

This autocomplete method recognizes вЂњshirtsвЂќ as part of the phrase, like вЂњmenвЂ™s shirts,вЂќ and suggests it to the customer along with вЂњwomenвЂ™s shirts,вЂќ вЂњwork shirts,вЂќ and other phrases that contain вЂњmenвЂ™s.вЂќ This method looks for the first letter, then the first word in a phrase, a search for вЂњmenвЂ™s shirtsвЂќ must begin with вЂњm,вЂќ then вЂњmenвЂ™s,вЂќ to bring up вЂњmenвЂ™s shirtsвЂќ as a response. Solr, an open-source framework that powers many of the worldвЂ™s most popular e-commerce sites and applications, supports three approaches to auto-complete implementation: Whether Google, Amazon, or smaller sites and vendors, predictive typing, as itвЂ™s otherwise known, (also sometimes called auto-suggest, search-as-you-type or type-ahead) has become an expected part of an engaging, user-friendly search experience. In recent years, autocomplete has become a staple feature for searches of all types.

Solr suggester tutorial