Amazon Kendra now supports content-based query suggestions
Amazon Kendra is an intelligent search service powered by machine learning, enabling organizations to provide relevant information to customers and employees, when they need it.
Amazon Kendra is an intelligent search service powered by machine learning, enabling organizations to provide relevant information to customers and employees, when they need it.
Today, we are excited to announce that Amazon Kendra now supports query suggestions seeded from indexed content, allowing you to provide a document-centric query auto-completion experience to your end-users.
Amazon Kendra query suggestions can help your users type their search queries faster and guide their experience by suggesting auto-completed queries as they type their query in the search box. So in addition to auto-completing queries based on popular user queries (already supported), you can now suggest queries based on document fields such as title, file name, author name, etc. This allows, for instance, your end-users to quickly narrow down their search for documents based on titles they may partially remember, or find documents from a specific author by entering a few letters in the search box, and clicking on the suggested author name suggested below the search box.
Amazon Kendra content-based query suggestion is available in all AWS regions where Amazon Kendra is available. To learn more about this feature, visit the documentation page. To explore Amazon Kendra, visit the Amazon Kendra website.