Embedding Atlas

Visualize large data interactively

Embedding Atlas is designed for data scientists and developers to compute and visualize large data embeddings efficiently. It offers real-time interaction capabilities, allowing users to explore data structures, identify dense regions and outliers, and find similar data points quickly. An example use case is in machine learning where understanding and navigating through large datasets is crucial for model training and insights.