[Editor's Note: Adapted from Adam Fowler's blog:]

A new feature of MarkLogic 7′s search API is range index scoring – affecting relevancy based on a specific value(s) within a document. MarkLogic returns results in relevance order, and range index scoring allows you to determine relevancy based on the value of an element in a document, rather than just performing an exact value match. E.g. a relevance score may be ‘0.625’ if the search was “rating:4” as an exact match, but may be 0.5

Our customers tell us, “Our organization generates a lot of information. It’s hard to keep up and decide what is relevant. Manually searching and trawling through results takes a lot of time too.”

Here’ s how MarkLogic can help. Because the MarkLogic embedded search capabilities were designed specifically to work with the database (versus other systems where developers have to develop code to tie them together), you can define very sophisticated queries, and get blazing fast results, too. Query

Our customers tell us, “I have to go through a huge dump of electronic documents. I need to find relationships, and identify topics, meetings, people, and places.”

Here’s how MarkLogic can help. MarkLogic combines an Enterprise NoSQL database with an advanced search engine within a single package. This allows data to be loaded into the system as-is, where it is fully indexed and ready for searching – with no advance data modelling or schema design required. As data flows in to the