以前、「1つのデータベースに対し10,000個のレンジインデックスを作れるか」という議論がありました。

This guide is a primer for enterprise search. It covers the basics about what to look for when choosing an enterprise-search solution and some expert tips for developing it so it meets the unique needs of your organization.

This content will be useful for both those on the business side who want to better understand enterprise search and also for a technical audience such as engineers who want to get a summary of key concepts before diving into the weeds.

It’s

ワイルドカードは、クエリの中に含めることができる特殊な文字です。ワイルドカードを使用することで、特定のタームのバリエーションを検索できます。ワイルドカードを使えば、短い文字列で、スペルが似た語を効率よく検索して、データベース内でマッチするタームを多数見つけることができます。MarkLogicの検索では、次の2つのワイルドカード文字がサポートされています。

Through organic growth and mergers and acquisitions, Cisco has tens of thousands of products in its 30-year existence. Imagine all the documentation Cisco has about each individual product. Rajesh Chandrasekhar, Director of Operations at Cisco, is tasked with making that documentation accessible to customers in the most satisfactory manner possible. To meet this goal, Rajesh talked to us at MarkLogic World about how he and his team built a Content Hub based on MarkLogic® on AWS. The hub

Robbie, Bobby, Rob, and Bob derive from Robert.  Johnny, John, and Jon derive from Jonathan.

When dealing with person names, nicknames can make it hard to tell if two people are indeed the same person, unless you had a tool to help you identify these names. But do you use a custom stemming dictionary? Stemming thesaurus? Are there other options? Here, we compare options for stemming person names in MarkLogic to help you decide which is the right approach for you.