Cost-effective, reliable, multilingual search that's easy to deploy
The same multilingual text processing technology used by industry-leading search engines Autonomy, Google, Live.com and others is now available for the open source search solution, Apache Lucene and Solr.
Deploy in Days
Out-of-the-box you can connect Basis Technology’s Rosette Linguistics Platform (RLP) to Apache Lucene and have robust and accurate multilingual search up and running on your website, intranet or internal network. This combination is an indispensable and low-cost search solution for enterprises of any size.
Dependability you can bank on
Lucene — a high-performance open source search toolkit — is a popular search solution with over 3,000 installations in organizations including IBM, CNET, and Wikipedia. RLP has a ten year track record of providing linguistic intelligence to meet the demanding accuracy and performance required by major search and text mining providers.
Search to the standards of enterprise search vendors
- Language identification and full-text search in 54 languages
- Linguistically improved search in 19 languages including major European languages, Arabic, Japanese, Chinese, and Korean. (Read more)
- Entity extraction and faceted navigation in 12 languages
- A scalable, high performance architecture (Read more)
Basis Technology offers a fixed pricing model for RLP — no matter the number of users or servers.
Users enjoy the same quality of experience with Lucene they have come to expect from their favorite web and enterprise search engines.Request an evaluation copy of RLP today with the “RLP for Lucene” module.
All You Need To Do
Download and install the RLP SDK or runtime package. Lucene leverages RLP functions and passes along information such as the location of documents to be indexed. The “RLP for Lucene” module enables RLP to connect to Lucene out of the box. No additional work is needed for Lucene to search text in any language RLP supports. The “RLP for Lucene” module comes with RLP at no additional cost.
Apache Lucene Performance & Scalability
For more details, see http://lucene.apache.org/. |
