Galago is a toolkit for experimenting with text search. It is based on small, pluggable components that are easy to replace and change, both during indexing and during retrieval.The Galago Search Engine was originally released as part of "Search Engine, Information Retrieval in Practice". To find the book-version of Galago please see http://www.search-engines-book.com/.
The Lemur project extends the Galago Search Engine for research purposes. As such, many components have been significantly modified to support further extensions and experimentation. Please note that the wiki-pages and support on this website, are not applicable to the book-version of Galago.
It includes TupleFlow, which is a distributed computation
framework like MapReduce or Dryad. TupleFlow manages the difficult
parts of processing text: serializing data, sorting it, and
distributing processing. The IndexReader and IndexWriter classes
manage storing key/value pairs like inverted lists. This makes it
possible to make your own kinds of index structures without
starting from scratch.
The retrieval system supports a variant of the Indri query
language, but redesigned to be more flexible. You can add your own
query operators without recompiling the core libraries; just put
your new operator in the classpath and reference it in a query.
Galago can be obtained from the SourceForge Lemur Project Page.
The first binary version (3.14159) of galago was released in Dec 2011. Release notes
for the current release can be found on SourceForge.