creates based on input that represents the data that you expect the model to parse at run time.
Intelligent Structure Discovery
uses an AI-powered model to determine the underlying patterns and structures of the
input that you provide for the model and creates a model that can be used to transform,
parse, and generate output groups.
Select from the following engines to generate an
intelligent structure model
:
Claire engine. Uses the Claire engine to
generate the
intelligent structure model
.
Custom AI engine. Uses a custom AI engine to
generate the
intelligent structure model
. This option requires an Azure OpenAI connection, such as a Large
Language Model connection, to integrate AI models through APIs and leverage AI
capabilities.
Long, complex files with little or no structure can be difficult to parse.
Intelligent Structure Discovery
can automatically decipher input data and discover the patterns, repetitions, relationships, and types of data in unstructured files.
After
intelligent structure
discovers the structure of the data, you can refine and test the structure, and then save or export it. When you save or export an
intelligent structure
,
Intelligent Structure Discovery
creates an
intelligent structure
model in an
.amodel
file.
Intelligent Structure Discovery
creates a model that expresses the expected output data. You can use an
intelligent structure model
in mappings to parse unstructured, semi-structured, or structured data.
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