Databases for AI

These databases are designed with specific features to support AI operations, including efficient handling of high-dimensional data, vector storage and similarity search, fast read/write operations for training data, and support for unstructured data types. They often include specialized indexing methods, parallel processing capabilities, and integration with machine learning frameworks.

Training data management for machine learning models, Vector similarity search in recommendation systems, Storage and retrieval of AI model features, Real-time AI application data serving