MarkLogic is a database with a search engine built-in to its core, providing a single platform to load data from silos and search and query across all of that data. MarkLogic uses an “Ask Anything” Universal Index that indexes data as soon as it is loaded so you can immediately begin asking questions of your data. There are also additional indexes that can be toggled on and off based on the user’s needs.

Built-in search is extremely useful for data integration. It enables you to immediately search and discover any new data loaded into MarkLogic, and also keep track of your data as you harmonize it.

Built-in search is also very useful for application development. You can leverage it when building both transactional and analytical applications that require powerful queries to be run efficiently, and when you want to build Google-like search features into an app.


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Search Concepts Guide

Read the guide that provides on overview of some the main concepts of Search, relevant functions, and some additional search resources.

Search Developer's Guide

Read the documentation that reviews Search in MarkLogic, along with its terms and definitions, licensing requirements, features, use cases, and more.

Search From First Principles: Powering Better Results

Mary Holstege discusses how MarkLogic resolves complex queries, what filtering is, and what index resolution is in this video tutorial.

“Ask Anything” Universal Index

Learn how MarkLogic uses an “Ask Anything” Universal Index that indexes data immediately when it is loaded.

Search Customization Using Query Options

Review key query option features for the XQuery Search API, REST API, or Java API, to customize and control your searches.

Searching with Constraints and Facets

Evan Lenz discusses how MarkLogic’s Search features enable you to use facets to narrow down your search results by page categories.

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