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Although Lucene provides the ability to create your own queries through its API, it also provides a rich query language through the Query Parser, a lexer which interprets a string into a Lucene Query using JavaCC. Generally, the query parser syntax may change from release to release. This page describes the syntax as of the current release. If you are using a different version of Lucene, please co

Taste is a flexible, fast collaborative filtering engine for Java. The engine takes users' preferences for items ("tastes") and returns estimated preferences for other items. For example, a site that sells books or CDs could easily use Taste to figure out, from past purchase data, which CDs a customer might be interested in listening to. Taste provides a rich set of components from which you can c

Although Lucene provides the ability to create your own queries through its API, it also provides a rich query language through the Query Parser, a lexer which interprets a string into a Lucene Query using JavaCC. This page provides the Query Parser syntax in Lucene 1.9. If you are using a different version of Lucene, please consult the copy of docs/queryparsersyntax.html that was distributed with

Apache Tika - a content analysis toolkit The Apache Tika™ toolkit detects and extracts metadata and text from over a thousand different file types (such as PPT, XLS, and PDF). All of these file types can be parsed through a single interface, making Tika useful for search engine indexing, content analysis, translation, and much more. You can find the latest release on the download page. Please see

This is the first release of Apache Hadoop 3.4 line. It contains 2888 bug fixes, improvements and enhancements since 3.3. Users are encouraged to read the overview of major changes. For details of please check release notes and changelog. This is a release of Apache Hadoop 3.3 line. It contains 117 bug fixes, improvements and enhancements since 3.3.5. Users of Apache Hadoop 3.3.5 and earlier shoul

Apache Lucene set the standard for search and indexing performance. Lucene is the search core of both Apache Solr™ and Elasticsearch™. Our core algorithms along with the Solr search server power applications the world over, ranging from mobile devices to sites like Twitter, Apple and Wikipedia.

Nutch is a highly extensible, highly scalable, matured, production-ready Web crawler which enables fine grained configuration and accomodates a wide variety of data acquisition tasks. Scalable Relying on Apache Hadoop™ data structures, Nutch is great for batch processing large data volumes but can also be tailored to smaller jobs. Pluggable Out of the box Nutch offer powerful plugins i.e., parsing

Apache Lucene sets the standard for search and indexing performance Apache Lucene Core Apache Lucene™ is a high-performance, full-featured search engine library written entirely in Java. It is a technology suitable for nearly any application that requires structured search, full-text search, faceting, nearest-neighbor search across high-dimensionality vectors, spell correction or query suggestions