Using Solr in Django for Full-Text Searching via Solango (Friday, January 01, 2010) - I've been doing quite a bit of work with Solr lately, both at the office and at home and, by golly, I love it! It's very powerful and simple to integrate with regardless of your platform. In this post I'll explain how to use Solr as a data-store independent search provider for Django projects. I'll assume that you have a functional Solr install and generally understand
Full-Text Indexing in Ruby Using Ferret (Saturday, November 28, 2009) - Few things are more useful that a good full-text search. It's clearly the easiest way for users to actively drill down into the content they want. It's also quite easy on the Ruby programmer to implement thanks to Ferret, an Apache Lucene-inspired search engine library. Building an Index The first step to implementing a search is to get an index built.
Home-Brewing a Full-Text Search in Google's AppEngine (Sunday, November 22, 2009) - I've recently deployed a django application on Google's AppEngine. I'm not sure how I've avoided it thus far but seems to fit my needs relatively well. DataStore (AppEngine's data storage engine) really impressed me. The python API feels so much like django's ORM that there was practically zero learning curve for a chap like me. One thing that disappointed
Employing Solr/Lucene with SQL Server for Full-Text Searching (Saturday, December 05, 2009) - I've been fiddling with Lucene a good bit of late and have been quite impressed. It's more than just a "blazing fast" full-text indexing system, especially when implemented via Solr. With Solr it becomes an incredibly scalable, full-featured and extensible search engine platform. I had always assumed that the Lucene stack wasn't for me. For the most part I
Solrnet, a Solr Client Library for .Net (Monday, March 08, 2010) - One of the strength's of Solr is it's ease of consumption by other platforms due to its REST API and response writers which include XML, JSON, native Ruby and native Python code. If you're trying to consume a Solr service from .Net you could easily use a WebClient and parse the results with .Net's System.Xml namespace and perhaps even build an object wrapper on