RediSearch

Querying, secondary indexing, and full-text search for Redis

Overview

RediSearch is a Redis module that provides querying, secondary indexing, and full-text search for Redis. To use RediSearch, you first declare indexes on your Redis data. You can then use the RediSearch query language to query that data.

RediSearch uses compressed, inverted indexes for fast indexing with a low memory footprint.

RediSearch indexes enhance Redis by providing exact-phrase matching, fuzzy search, and numeric filtering, among many other features.

Getting started

If you're just getting started with RediSearch, check out the official RediSearch tutorial. Also, consider viewing our RediSearch video explainer.

The fastest way to get up and running with RediSearch is by using the Redis Stack Docker image.

Trying RediSearch

To try RediSearch, either use the RediSearch Docker image, or create a free Redis Cloud Essentials account to get a RediSearch instance in the cloud.

Docker image

The Redis Stack Docker image makes it easy to try RediSearch.

To create a local RediSearch container, run:

$ docker run -p 6379:6379 redis/redis-stack-server:latest

To connect to this instance, run:

$ redis-cli

Documentation

The RediSearch documentation provides a complete overview of RediSearch. Helpful sections include:

• The RediSearch quick start
• The RediSearch command reference
• References on features such as aggregations, highlights, stemming, and spelling correction.

Mailing list and forum

Got questions? Join us in #redisearch on the Redis Discord server.

If you have a more detailed question, drop us a line on the RediSearch Discussion Forum.

Client libraries

You can use any standard Redis client library to run RediSearch commands, but it's easiest to use a library that wraps the RediSearch API.

Language	Library	Author	License	Stars	Comment
Python	redis-py	Redis	BSD
Python	redis-om	Redis	BSD-3-Clause
Java	Jedis	Redis	MIT
Java	JRediSearch	Redis	BSD		Deprecated
Java	lettusearch	Redis	Apache-2.0
Java	spring-redisearch	Redis	Apache-2.0
Java	redis-om-spring	Redis	BSD-3-Clause
Java	redis-modules-java	dengliming	Apache-2.0
Go	redisearch-go	Redis	BSD
Go	rueidis	Rueian	Apache-2.0
JavaScript	Redis-om	Redis	BSD-3-Clause
TypeScript	Node-Redis	Redis	MIT
TypeScript	redis-modules-sdk	Dani Tseitlin	BSD-3-Clause
C#	NRediSearch	Marc Gravell	MIT
C#	Redis.OM	Redis	BSD-3-Clause
PHP	redisearch-php	Ethan Hann	MIT
PHP	php-redisearch	MacFJA	MIT
Rust	redisearch-api-rs	Redis	BSD
Ruby on Rails	redi_search_rails	Dmitry Polyakovsky	MIT
Ruby	redisearch-rb	Victor Ruiz	MIT
Ruby	redi_search	Nick Pezza	MIT

RediSearch features

• Full-Text indexing of multiple fields in Redis hashes
• Incremental indexing without performance loss
• Document ranking (using tf-idf, with optional user-provided weights)
• Field weighting
• Complex boolean queries with AND, OR, and NOT operators
• Prefix matching, fuzzy matching, and exact-phrase queries
• Support for double-metaphone phonetic matching
• Auto-complete suggestions (with fuzzy prefix suggestions)
• Stemming-based query expansion in many languages (using Snowball)
• Support for Chinese-language tokenization and querying (using Friso)
• Numeric filters and ranges
• Geospatial searches using Redis geospatial indexing
• A powerful aggregations engine
• Supports for all utf-8 encoded text
• Retrieve full documents, selected fields, or only the document IDs
• Sorting results (for example, by creation date)

Cluster support

RediSearch has a distributed cluster version that scales to billions of documents across hundreds of servers. At the moment, distributed RediSearch is available as part of Redis Enterprise Cloud and Redis Enterprise Software.

See RediSearch on Redis Enterprise for more information.

License

RediSearch is licensed under the Redis Source Available License Agreement.