Overview

Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.

Embedding Atlas is released as two packages:

• A Python package embedding-atlas that provides:

  • A command line utility for running Embedding Atlas on a data frame.
  • A Jupyter widget for using Embedding Atlas in Jupyter notebooks.
  • A Streamlit component for using Embedding Atlas in Streamlit apps.

• An npm package embedding-atlas that exposes the user interface components as API so you can use them in your own applications. Below are the exposed components:

  • Table
  • EmbeddingView
  • EmbeddingViewMosaic
  • EmbeddingAtlas
  • Algorithms