Redis AI First Steps

At RedisConf 2019, Redis introduced a new module called RedisAI, which aims to bring together machine learning (ML) and deep learning (DL) by executing AI models as close as possible to where data currently resides. This can help reduce DevOps challenges associated with moving large amounts of data between applications. RedisAI provides new data structures and allows Redis to manage requests to run ML/DL models and execute them, reducing network overhead and eliminating the need for serializing/deserializing data. Users can install RedisAI using Docker or by building it from source code. The module comes with an example image classification app that demonstrates its functionality in a practical setting.