This project is now deprecated. The code has a new home as a part of walrus, a set of Python utilities for working with Redis.

autocompletion with redis based on:

redis-completion is capable of storing a large number of phrases and quickly searching them for matches. Rich data can be stored and retrieved, helping you avoid trips to the database when retrieving search results.


If you just want to store really simple things, like strings:

engine = RedisEngine()
titles = ['python programming', 'programming c', 'unit testing python',
          'testing software', 'software design']
map(, titles)

['python programming', 'unit testing python']

['testing software', 'unit testing python']

If you want to store more complex data, like blog entries:

Entry.create(title='an entry about python', published=True)
Entry.create(title='all about redis', published=True)
Entry.create(title='using redis with python', published=False)

for entry in
    engine.store_json(, entry.title, {
        'published': entry.published,
        'title': entry.title,
        'url': entry.get_absolute_url(),

>>> engine.search_json('pytho')
[{'published': True, 'title': 'an entry about python', 'url': '/blog/1/'},
 {'published': False, 'title': 'using redis with python', 'url': '/blog/3/'}]

# just published entries, please
>>> engine.search_json('redis', filters=[lambda i: i['published'] == True])
[{u'published': True, u'title': u'all about redis', u'url': u'/blog/2/'}]


Indices and tables