Download List

Project Description

mnoGoSearch is a full-featured Web search engine that you can use to build search engines over HTTP, HTTPS, FTP, and NTTP servers, local files, and database text fields. It has built-in support for XML, HTML, eml, and text files. External converters can be used to support other document types. An automatic language/charset guesser for more 70 language/charset combinations is included, along with cluster support, making it possible to distribute data over multiple computers and index huge collections with up to several hundred million documents.

System Requirements

System requirement is not defined
Information regarding Project Releases and Project Resources. Note that the information here is a quote from Freecode.com page, and the downloads themselves may not be hosted on OSDN.

2007-05-08 12:48
3.3.3

New "DebugSQL", "SetNames", and "SQLLogBin" parameters were added to the "DBAddr" command. Significant performance improvements were made and a number of bugs were fixed.
Tags: Development, Minor feature enhancements

2007-04-19 22:14
3.3.2

GroupBySite and DateFormat commands didn't work in cluster mode, and search result page navigation didn't work correctly with a single cluster node. Other bugs were fixed, and minor feature enhancements were made.
Tags: Development, Major bugfixes

2007-04-12 11:07
3.2.42

DBMode=blob now works with DB2. Several bugs were fixed.
Tags: Stable, Minor bugfixes

2007-03-18 21:03
3.3.1

Support for live index updates was implemented. Configuring mnoGoSearch for Indexing of SQL data is now much easier. Several bugs were fixed, and several new minor features were added.
Tags: Development, Major feature enhancements

2007-03-06 08:40
3.3.0

Cluster support was added, allowing the maximum database size to be extended up to several dozens or even hundreds of millions of documents. Strong relevancy calculation improvements were made to return higher quality search results. Many new features were added and performance improvements were made.
Tags: Development, Major feature enhancements

Project Resources