https://github.com/apple/embedding-atlas
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
Features
๐ท๏ธ Automatic data clustering & labeling: Interactively visualize and navigate overall data structure.
๐ซง Kernel density estimation & density contours: Easily explore and distinguish between dense regions of data and outliers.
๐ง Order-independent transparency: Ensure clear, accurate rendering of overlapping points.
๐ Real-time search & nearest neighbors: Find similar data to a given query or existing data point.
๐ WebGPU implementation (with WebGL 2 fallback): Fast, smooth performance (up to few million points) with modern rendering stack.
๐ Multi-coordinated views for metadata exploration: Interactively link and filter data across metadata columns.
Please visit https://apple.github.io/embedding-atlas for a demo and documentation.