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Find Similar Features Using Embeddings (GeoAI Tools)

Summary

Performs large-scale similarity search on location and image data by comparing their embedding representations. It identifies features that are most similar to selected input/query features, enabling efficient pattern discovery and insight extraction across extensive spatial datasets.

Usage

  • The tool requires two inputs, an embeddings feature class that defines the search space and a query feature layer containing one or more polygons that represent the objects of interest.

Parameters

Label Explanation Data type

Embedding Features

The feature class containing embeddings to find features most similar to the query features.

Feature Class

Query Features

The feature layer containing one or more features representing the objects of interest

Feature Layer

Output Embeddings Feature Class

The feature class that stores the results of similarity search.

Feature Class

Threshold

The minimum similarity score an embedding feature must have when compared with the query features to be included in the output.

Double

Environments

Output Coordinate System, Geographic Transformations, Extent

Licensing information

  • Basic: No
  • Standard: No
  • Advanced: Yes