Metadata-Version: 2.1
Name: redisearch
Version: 1.0.0
Summary: RedisSearch Python Client
Home-page: http://github.com/RedisLabs/redisearch-py
Author: RedisLabs
Author-email: oss@redislabs.com
License: UNKNOWN
Description: [![license](https://img.shields.io/github/license/RediSearch/redisearch-py.svg)](https://github.com/RediSearch/redisearch-py/blob/master/LICENSE)
        [![PyPI version](https://badge.fury.io/py/redisearch.svg)](https://badge.fury.io/py/redisearch)
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        [![Known Vulnerabilities](https://snyk.io/test/github/RediSearch/redisearch-py/badge.svg?targetFile=requirements.txt)](https://snyk.io/test/github/RediSearch/redisearch-py?targetFile=requirements.txt)
        
        # RediSearch Python Client
        [![Forum](https://img.shields.io/badge/Forum-RediSearch-blue)](https://forum.redislabs.com/c/modules/redisearch/)
        [![Gitter](https://badges.gitter.im/RedisLabs/RediSearch.svg)](https://gitter.im/RedisLabs/RediSearch?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
        
        This is a python search engine library that utilizes the [RediSearch Redis Module](http://redisearch.io) API.
        
        It is the "official" client of redisearch, and should be regarded as its canonical client implementation.
        
        ## Features
        
        RediSearch is an open-source (AGPL), high performance search engine implemented as a [Redis Module](https://redis.io/topics/modules-intro). 
        It uses custom data types to allow fast, stable and feature rich full-text search inside redis.
        
        This client is a wrapper around the RediSearch API protocol, that allows you to utilize its features easily. 
        
        ### RediSearch's features include:
        
        * Full-Text indexing of multiple fields in documents.
        * Incremental indexing without performance loss.
        * Document ranking (provided manually by the user at index time) and field weights.
        * Auto-complete suggestions (with fuzzy prefix suggestions)
        * Exact Phrase Search
        * Stemming based query expansion in [many languages](http://redisearch.io/Stemming/) (using [Snowball](http://snowballstem.org/)).
        * Limiting searches to specific document fields (up to 8 fields supported).
        * Numeric filters and ranges.
        * Automatically index existing HASH keys as documents.
        
        For more details, visit [http://redisearch.io](http://redisearch.io)
        
        ## Example: Using the Python Client
        
        ```py
        from redisearch import Client, TextField
        
        # Creating a client with a given index name
        client = Client("myIndex")
        
        # Creating the index definition and schema
        client.create_index((TextField("title", weight=5.0), TextField("body")))
        
        # Indexing a document
        client.add_document(
            "doc1",
            title="RediSearch",
            body="Redisearch implements a search engine on top of redis",
        )
        
        # Simple search
        res = client.search("search engine")
        
        # Searching with snippets
        res = client.search("search engine", snippet_sizes={"body": 50})
        
        # Searching with complex parameters:
        q = Query("search engine").verbatim().no_content().with_scores().paging(0, 5)
        res = client.search(q)
        
        
        # The result has the total number of results, and a list of documents
        print(res.total)  # "1"
        print(res.docs[0].title)
        ```
        
        ## Installing
        
        1. Install Redis 4.0 or above
        
        2. [Install RediSearch](http://redisearch.io/Quick_Start/#building-and-running)
        
        3. Install the python client
        
        ```sh
        $ pip install redisearch
        ```
        
        
        
        
Keywords: R,e,d,i,s, ,S,e,a,r,c,h, ,E,x,t,e,n,s,i,o,n
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Database
Classifier: Topic :: Software Development :: Testing
Description-Content-Type: text/markdown
