RedisAI ¶

RedisAI is a Redis module for executing Deep Learning/Machine Learning models and managing their data. Its purpose is being a "workhorse" for model serving, by providing out-of-the-box support for popular DL/ML frameworks and unparalleled performance. RedisAI both maximizes computation throughput and reduces latency by adhering to the principle of data locality , as well as simplifies the deployment and serving of graphs by leveraging on Redis' production-proven infrastructure.

RedisAI is a joint effort between Redis Labs and Tensorwerk .

Where Next? ¶

• The Introduction is the recommended starting point
• The Quickstart page provides information about building, installing and running RedisAI
• The Commands page is a reference of the RedisAI API
• The Clients page lists RedisAI clients by programming language
• The Configuration page explains how to configure RedisAI
• The Developer page has more information about the design and implementation of the RedisAI module

Quick Links ¶

• Source code repository
• Releases
• Docker image

Contact Us ¶

If you have questions, want to provide feedback or perhaps report an issue or contribute some code , here's where we're listening to you:

• Forum
• Gitter chatroom
• Repository

License ¶

RedisAI is licensed under the Redis Source Available License Agreement .