Install RedisVL#

There are a few ways to install RedisVL. The easiest way is to use pip.

Install RedisVL with Pip#

Install redisvl into your Python (>=3.8) environment using pip:

$ pip install redisvl

RedisVL comes with a few dependencies that are automatically installed, however, a few dependencies are optional and can be installed separately if needed:

$ pip install redisvl[all]  # install vectorizer dependencies
$ pip install redisvl[dev]  # install dev dependencies

If you use ZSH, remember to escape the brackets:

$ pip install redisvl\[all\]

This library supports the use of hiredis, so you can also install by running:

pip install redisvl[hiredis]

Install RedisVL from Source#

To install RedisVL from source, clone the repository and install the package using pip:

$ git clone && cd redisvl
$ pip install .

# or for an editable installation (for developers of RedisVL)
$ pip install -e .

Installing Redis#

RedisVL requires a distribution of Redis that supports the Search and Query capability of which there are 3:


  1. Redis Cloud, a fully managed cloud offering

  2. Redis Stack, a local docker image for testing and development

  3. Redis Enterprise, a commercial self-hosted

Redis Cloud#

Redis Cloud is the easiest way to get started with RedisVL. You can sign up for a free account here. Make sure to have the Search and Query capability enabled when creating your database.

Redis Stack (local development)#

For local development and testing, Redis-Stack and be used. We recommend running Redis in a docker container. To do so, run the following command:

docker run -d --name redis-stack -p 6379:6379 -p 8001:8001 redis/redis-stack:latest

This will also spin up the Redis Insight GUI at http://localhost:8001.

Redis Enterprise (self-hosted)#

Redis Enterprise is a commercial offering that can be self-hosted. You can download the latest version here.

If you are considering a self-hosted Redis Enterprise deployment on Kubernetes, there is the Redis Enterprise Operator for Kubernetes. This will allow you to easily deploy and manage a Redis Enterprise cluster on Kubernetes.