LucidWorks Enterprise | White Papers
Getting Started with LucidWorks Enterprise
This feature overview provides a basic working knowledge of the LucidWorks Enterprise search development platform. It provides you with an survey of the software’s functions and an explanation of how to use them from Admin User Interface, rather than by writing and running its interfaces from programmatically from code. You will learn about installation, indexing content from local files, web sites, and databases, and searching, as well as improving the user experience using features such as user alerts, auto-complete and spell-check.
LucidWorks Enterprise: Critical Success Factors for Building and Deploying Search Applications
Today’s rapid growth in the scale and scope of enterprise data demands a scalable platform for search application developers. In this briefing published by theserverside.com, Lucid Imagination Chief Architect Brian Pinkerton surveys the key attributes of the data and content landscape faced by organizations large and small, and shows how LucidWorks Enterprise leverages the disruptive innovation of Apache Solr/Lucene to help address twin challenges of scale and complexity:
- Making search accessible to the broad range of application developers and architects, and make search a core part of your content-and-data intensive applications
- Building better search applications faster through accelerated, streamlined Solr app development and integration with search experience innovations, using robust APIs built atop Solr
- Harnessing the power of open source using the LucidWorks Enterprise REST API, and the latest in open source innovations like SolrCloud
Programmer's Guide: Using LucidWorks Enterprise to add Search to your Web Application
Creating search functionality can be the most daunting part of putting together an application. Even if you can get past the notion of indexing every single piece of content you want to make available, there’s still the issue of performing the actual search and providing results based on relevancy. It’s a complex task, and one many developers are loath to tackle.
A search server application such as Apache Solr makes searching easier, but indexing unstructured content can still be a bit of a challenge. LucidWorks Enterprise, built on Apache Solr/Lucene, goes the extra mile to make that part easy too. This step-by-step guide shows takes a programmatic approach to working with LucidWorks Enterprise, the search solution from LucidWorks Enterprise built on Apache Solr. We’ll show how to add content, index it, create a web page (with example PHP code) to send search requests and display results, add search fields using the REST API, and then add search features such as faceted search. Code samples and screen shots are included. You can download the example application here.
Applying Social Strategies to Search Results with LucidWorks Enterprise
LucidWorks Enterprise offers several ways to leverage social search factors when building your own search applications. Social search factors determine result relevance not only using traditional mechanisms such as computing intrinsic similarity of the query to the content of the page, but also what humans think about that similarity.
This paper provides an overview of several ways in which LucidWorks Enterprise utilizes user actions and reactions to provide the most relevant search results possible.