New Lucidworks Certified Distribution For Lucene 3.0.1
Incorporating Apache Lucene 3.0.1, this release is now faster and more flexible than before. Improvements include:
- Removal of deprecated APIs
- Upgrades to all accompanying components
- Stability improvements for the indexing process
- Increased scalability and accuracy for index segments
- Important fixes to IndexWriter, Contrib's Analyzers package and ToeknStream API
Download LucidWorks Certified Distribution for Lucene 3.0.1
LucidWorks Certified Distribution for Lucene is a comprehensive, tested version of the Apache Lucene library, based on the most recent stable Lucene version with additional bug fixes, productivity and index tools. For those wishing to use the Java Lucene library directly, LucidWorks Certified Distribution for Lucene v3.0 provides a supported, free and complete version of Apache Lucene which includes additional bug fixes and software components that have been tested by Lucid’ Imagination, as well as 30 days of free Get Started assistance. (For most developers building search applications with Lucene/Solr technology for a web site, product or internal organizational use, Apache Solr is the logical starting point; check out LucidWorks Certified Distribution for Solr.
- Complete version of Apache Lucene v3.0.1
- Additional bug fixes from the current trunk of the Lucene project
- 30-day free Get Started assistance
- LucidKStemmer: Lucid's optimized version of KStemmer, the Krovetz stemmer available from the University of Massachusetts. A stemmer reduces words to a root form, providing the ability to search for derivatives of a stem word (e.g., "team" is the stem of "teams"). This is a dictionary based inflectional stemmer that stems less aggressively than the standard Porter stemmer included with Apache Lucene. LucidKStemmer is English-only at this time.
- Lucene Index Toolbox (Luke): LucidWorks Certified Distribution for Lucene also includes Luke, a handy development and diagnostic tool that no Lucene/Solr developer should be without. Luke allows developers to examine and modify existing Lucene indexes, and quickly identify issues in data feed, search accuracy and search relevancy.
