Pages tagged fulltext:

Whoosh
http://whoosh.ca/

Whoosh: a fast pure-Python search engine
Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python.
Pure-Python search
Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python. Some of Whoosh's features include: * Pythonic API. * Pure-Python. No compilation or binary packages needed, no mysterious crashes. * Fielded indexing and search. * Fast indexing and retrieval -- much faster than any other pure-Python solution. * Pluggable scoring algorithm (including BM25F), text analysis, storage, posting format, etc. * Powerful query language parsed by pyparsing. * Pure Python spell-checker (as far as I know, the only one).
Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python. Whoosh was created and is maintained by MattChaput. It was originally created for use in Side Effects Software's 3D animation software Houdini. Side Effects Software Inc. graciously agreed to open-source the code.
"Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python."
Add Full-Text Search to your Django project with Whoosh
http://www.arnebrodowski.de/blog/add-full-text-search-to-your-django-project-with-whoosh.html
Whoosh is a pure-python full-text indexing and searching library. Whoosh was opensourced recently and makes it easy to add a fulltext search to your site without any external services like Lucene or Solr for example. Whoosh is pretty flexible, but to keep it simple let's assume that the index is stored in settings.WHOOSH_INDEX (which should be a path on the filesystem) and that our application is a Wiki and we want to search the Wiki pages. Indexing Documents Before we can query the index we have to make sure that the documents are indexed properly and automatically. It doesn't matter if you put the following code into a new app or an existing app. You only have to make sure, that it lives in a file, which is loaded by Django when the process starts, resonable places would be the __init__.py or the models.py file (or any file imported in those of course) in any app. The following code listing is interrupted by short explanaitions but should be saved into one file: import os from dj
Add Full-Text Search to your Django project with Whoosh
5 Tips for Sphinx Indexing | Engine Yard Blog
http://www.engineyard.com/blog/2009/5-tips-for-sphinx-indexing/
mixi Engineers’ Blog » 3行でできる超お手軽全文検索
http://alpha.mixi.co.jp/blog/?p=1112
タグ検索と全文検索といえば、Tokyo Dystopiaが同じような機能を既に実現しています。TCにタグ検索と全文検索がサポートされたからもうTDは不要なのかと思われるかもしれませんが、そうではありません。転置インデックスのライブラリとしてはTDの方がはるかに効率的かつスケールする設計になっていて、また業務に必要なカスタマイズを容易にするためにシンプルな実装になっています。一方でTCの転置インデックスは、パフォーマンスやスケーラビリティではTDに劣りますが、ものすごく簡単に導入できることが特徴です。既にテーブルDBでデータの管理をしているならば、setindexホゲホゲという文を書くだけで1分以内に検索機能を強化することができるのです
Setting up Django and Sphinx Full-text Search (django-sphinx) | David Cramer's Blog
http://www.davidcramer.net/code/django/433/setting-up-django-and-sphinx-full-text-search-django-sphinx.html
fast full-text search
rossp.org - Full-text searching in Django with PostgreSQL and tsearch2
http://www.rossp.org/blog/2009/jan/28/django-postgresql-fulltext/
A fast, fuzzy, full-text index using Redis | PlayNice.ly
http://playnice.ly/blog/2010/05/05/a-fast-fuzzy-full-text-index-using-redis/
PlayNice.ly is entirely based on a data-structure server called Redis. Redis is one of several new key-value databases which break away from traditional relational data architecture. It is simple, flexible, and blazingly fast. So why not use the tools we have already?
redis.smembers("word:" + metaphone("python"))
Interesting post about being able to search data in redis using indexing and phonetic algorthms.