Pages tagged solr:

Haystack - Search for Django
http://haystacksearch.org/

Will need eventually to replace __istartswith
Search doesn't have to be hard. Haystack lets you write your search code once and choose the search engine you want it to run on. With a familiar API that should make any Djangonaut feel right at home and an architecture that allows you to swap things in and out as you need to, it's how search ought to be.
Modular Search for Django
Haystack is a modular search framework for Django. It works directly with Django Models and provides a familiar API to people who are comfortable with Django.
django-solr-search - Google Code
http://code.google.com/p/django-solr-search/
"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.
Sphinx - text search The Pirate Bay way • The Register
http://www.theregister.co.uk/2009/05/08/dziuba_sphinx/
and it's on track to become the open source world's canonical answer to the question of text search. MySQL and Solr, the two popular solutions, are showing their age. MySQL introduced full-text search in late 2000 as a way to more intelligently search blobs of text stored in databases. You can work a full-text clause into a query, and MySQL will rank the result rows by how relevant it thinks they are to the query. MySQL uses textbook search algorithms and doesn't allow for a lot of relevance tuning. It's like a drawing from a five year old: The heart is in the right place, but everybody knows that kids suck at drawing. Implementation details aside, MySQL still suffers from scalability problems. Having ignored the trend of chip manufacturers to build multiple cores into CPUs, hoping that this unpleasant trend that required them to actually think about multi-threading would just blow over sooner or later, MySQL's ability to handle parallelism is, well, see the five year old's drawing.
Sphinx can index 10 megabytes of data per second and can search up to 100 gigabytes of text on a single processor. It also supports multi-machine distributed searching, as in the case of Craigslist.