An overview of the Embeddings Based Analysis toolset

The Embeddings Based Analysis toolset contains tools for generating, updating, and analyzing embeddings derived from location-based features or raster data.

The toolset supports generating embeddings, using those embeddings to find similar features, and merging embeddings to create representations at different administrative levels, such as aggregating embeddings from zip codes to counties. By representing raw data as embeddings, it helps uncover meaningful patterns, relationships, and insights that are not easily visible in the original data.

Tools in the Embeddings Based Analysis toolset

Tool	Description
Extract Embeddings To Fields	Extracts vector embeddings stored as binary large object (BLOB) fields into individual numeric fields in a new output feature class.
Find Similar Features Using Embeddings	Performs large-scale similarity search on location and image data by comparing their embedding representations.
Generate Embeddings Using AI Models	Generates semantic embeddings for geospatial data using foundation models.
Merge Embeddings	Merges embeddings from an input embeddings feature class into target polygons based on the area of overlap.

Related topics

• An overview of the GeoAI toolbox

• Embeddings in ArcGIS Pro

• Embeddings as BLOB fields

• How Find Similar Pane works

• How Find Similar Features Using Embeddings works

• How Generate Embeddings Using AI Models works

• How Merge Embeddings works

• How Extract Embedding To Fields works