Embedding visualization is a powerful technique used to understand and interpret complex relationships in high-dimensional data. Reducing the dimensionality of custom features into a 2D or 3D space makes it easier to identify patterns, clusters, and outliers.
In Fiddler, high-dimensional data like embeddings and vectors are ingested as a Custom feature.
Our goal in this document is to visualize these custom features.
We utilize the UMAP (Uniform Manifold Approximation and Projection) technique for embedding visualizations. UMAP is a dimension reduction technique that is particularly good at preserving the local structure of the data, making it ideal for visualizing embeddings. We reduce the high-dimensional embeddings to a 3D space.
UMAP is supported for both Text and Image embeddings in Custom feature.
To create an embedding visualization chart
Follow the UI Guide on creating the embedding visualization chart here.
Updated 2 months ago