AI databases are a fast-emerging database approach dedicated to creating better machine-learning and deep-learning models and then train them faster and more efficiently. AI databases integrate artificial intelligence technologies to provide value-added services. Targeted at optimizing compute and database resources, AI databases can simultaneously ingest, explore, analyze, and visualize fast-moving, complex data in milliseconds. AI databases provide full-text search and text-analytics capabilities.
RedisAI is a Redis module for executing deep learning/machine learning models and managing their data. It provides tensors as a data type and deep-learning model execution on CPUs and GPUs. RedisAI turns Redis Enterprise into a full-fledged deep- learning runtime.
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