I'm about to release a pure-Python full-text indexer and search engine
called Dolphy. My main goals for Dolphy are query performance and
convenient integration with Django and other Python web applications.
The current feature set includes:
* Stemming ('societies' matches 'society')
* Multi-term queries (implicit ANDs or ORs)
* Ranking by relevance or date
* Contextual summarisation
* Configurable stopwords
* Partial support for incremental indexing (inserts are handled,
updates and deletes are not)
Features which are planned or underway, but may not be available in the
first release, include:
* Full support for incremental indexing
* Phrase searching
* Google-like query parsing
* Unicode support
Although Dolphy isn't ready for public release, it's in use in two
production settings, on Linux and Windows. Search performance on
medium-sized collections (20,000 documents) is excellent, and it should
scale well with much larger collections; indexing performance is
reasonable. You can see Dolphy in action on my blog:
http://tom.dyson.name:8181/search?q=piano
If you're interested in this project, please send me feature requests,
API suggestions (particularly with regards to Django integration) and
test data collections.
Cheers
Tom
--
tom dyson
http://throwingbeans.org
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