Apache Solr

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Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites. Hundreds of features make Solr incredibly versatile. From tutorials to in-depth documentation, you'll find it here. Scale with confidence in data integrity and performance. Get support and give back. Contribute to the Solr project. Containerize your Solr deployments with Docker. Automate the deployment of Solr with Kubernetes. Solr powers some of the most heavily-trafficked websites and applications in the world. See the Powered By section for some examples. Power your global enterprise or your weekend project. Click here to download the Solr binary from the available mirrors. The Solr Quick Start tutorial will help you start working with Solr. Once you've completed the tutorial, continue to learn with the Solr resource library. The Solr PMC is pleased to announce the release of Apache Solr 10.0.0. Download here. The Apache Software Foundation provides support for the Apache community of open-source software projects. The Apache projects are defined by collaborative consensus based processes, an open, pragmatic software license and a desire to create high quality software that leads the way in its field. Apache Lucene, Apache Solr, Apache PyLucene, Apache Open Relevance Project and their respective logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners. Solr is a standalone enterprise search server with a REST-like API. You put documents in it (called "indexing") via JSON, XML, CSV or binary over HTTP. You query it via HTTP GET and receive JSON, XML, CSV or binary results. Powered by Lucene , Solr enables powerful matching capabilities including phrases, wildcards, joins, grouping and much more across any data type Solr is proven at extremely large scales the world over Solr uses the tools you use to make application building a snap Solr ships with a built-in, responsive administrative user interface to make it easy to control your Solr instances Need more insight into your instances? Solr publishes loads of metric data via JMX Built on the battle-tested Apache Zookeeper, Solr makes it easy to scale up and down. Solr bakes in replication, distribution, rebalancing and fault tolerance out of the box. Solr's is designed to adapt to your needs all while simplifying configuration Want to see your updates now? Solr takes advantage of Lucene's Near Real-Time Indexing capabilities to make sure you see your content when you want to see it Solr publishes many well-defined extension points that make it easy to plugin both index and query time plugins. Of course, since it is Apache-licensed open source, you can change any code you want! Solr uses t

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char filters edit the text prior to tokenizationtokenizers break the text up into termstoken filters transform the termsDynamic Fields enable on-the-fly addition of new fields that auto-map to field types based on the field nameEasily analyze the same content in different ways using Solr's copy field capabilitiesExplicit types eliminate the need for guessing types of fields and introducing noiseExternal file-based configuration of stopword lists, synonym lists, and protected word listsMany additional text analysis components including word splitting, regex, stemming and moreExtensible to allow for applications to easily handle proprietary formats and unsupported data typesFunction queries provide powerful relevance tuning capabilities based off of your data

Company Intel

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information technology & services

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2,500

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Apache Tika is a toolkit for detecting and extracting metadata and structured text content from various documents using existing parser libraries. Tika 3.3.0 is now available for download: https://t.

Apache Tika is a toolkit for detecting and extracting metadata and structured text content from various documents using existing parser libraries. Tika 3.3.0 is now available for download: https://t.co/JBddHogIMl #opensource https://t.co/8GB6yuVmav

Apache Solr

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