A Comparison of Open Source Search Engines « zooie’s blog
a first step to investigate search engine.
Later this month we will be presenting a half day tutorial on Open Search at SIGIR. It’ll basically focus on how to use open source software and cloud services for building and quickly prototyping advanced search applications. Open Search isn’t just about building a Google-like search box on a free technology stack, but encouraging the community to extend and embrace search technology to improve the relevance of any application.django-solr-search - Google Code
"Django Solr search is a Django pluggable for rapidly integrating Solr search into a Django Application."
Django module for implementing Solr search
Django Solr search is a Django pluggable for rapidly integrating Solr search into a Django Application. It was originally written for The Washington Times. Readers where complaining that they were never able to find relevant content and they weren't given the tools to narrow down their search. With some of our past experiences with Solr it seemed like the obvious choice for this type of enterprise search concept.
Django module for integrating solr search.
Django pluggable for integrating Solr search. Updated to work with Django 1.0. Can even generate schema.xml files on the fly.Elastic Search - Open Source, Distributed, RESTful Search Engine
A distributed, highly available RESTful Search Engine based on Lucene
ElasticSearch is an open source, distributed, RESTful search engine built on top of Lucene.
ElasticSearch is an open source, distributed, RESTful, Search Engine.
An open source search engine built on top of Lucene that can be distributed across multiple indexes on different nodes.Artisan System - A PHP5 Object Oriented Framework
how phrases work in search indexes