Create a Custom Skill For Azure AI Search

By Ashwin Venugopal -

 




Introduction

By extracting more information from the source data, you can significantly enhance an index using Azure AI Search's predefined skills. However, there can be times when you have certain data extraction requirements that call for some bespoke functionality and cannot be satisfied by the established abilities.

For example:

  • Integrate the Form Recognizer service to extract data from forms

  • Consume an Azure Machine Learning model to integrate predicted values into an index

  • Any other custom logic

Custom skills can be implemented as web-hosted services (like Azure Functions) that enable the necessary interface for integration into a skillset in order to support these scenarios.

Define Custom Skill Schema

The expected structure for input and output data that is required by abilities in an Azure AI Search skillset must be implemented by your custom skill.

Input Schema

A JSON structure with a record for every document to be handled is defined by the input schema for a custom skill. Every document contains a data payload with one or more inputs, as well as a unique identity.

Output Schema

The input schema is reflected in the schema for the outcomes that your custom skill returns. It is believed that the output includes a record for every input record, containing either the skill's outcomes or specifics of any mistakes that were made.

The output value in this schema is a property bag that can contain any JSON structure, reflecting the fact that index fields aren't necessarily simple data values, but can contain complex types.

Conclusion

We have successfully learnt the basics of custom skill for Azure AI search. 





















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