Entry for the binary file sample

Author: HeidiSteen

README.md

@@ -4,11 +4,15 @@ This repository contains Python sample code used in Azure Cognitive Search quick
 
 ## Quickstart - Azure Cognitive Search
 
-This sample is a Jupyter Python3 .ipynb file used in [Quickstart: Create and query an Azure Cognitive Search index using a Jupyter Python notebook](https://docs.microsoft.com/azure/search/search-get-started-python). Use this sample to learn service connections, index creation, data ingestion, and basic queries.
+This sample is a Jupyter Python3 .ipynb file used in [Quickstart: Create and query an Azure Cognitive Search index using a Jupyter Python notebook](https://docs.microsoft.com/azure/search/search-get-started-python). Learn how to use the [**azure-search-documents**](https://docs.microsoft.com/python/api/overview/azure/search-documents-readme) client library in the Azure SDK for Python to make service connections, create and load indexes, and run basic queries.
 
-## Tutorial - Add AI enrichments to an indexing pipeline
+## Tutorial - Add a skillset (enrichments) to an indexing pipeline
 
-This sample is a Jupyter Python3 .ipynb file. It's used in the [Python Tutorial: Call Cognitive Services APIs in an Azure Cognitive Search indexing pipeline](https://docs.microsoft.com/azure/search/cognitive-search-tutorial-blob-python). This sample demonstrates cognitive search functionality, adding AI enrichments from Cognitive Services to extract, detect, and analyze information from image files or large unstructured document files.
+This sample is a Jupyter Python3 .ipynb file used in the [Python Tutorial: Call Cognitive Services APIs in an Azure Cognitive Search indexing pipeline](https://docs.microsoft.com/azure/search/cognitive-search-tutorial-blob-python). This sample demonstrates cognitive search functionality, adding AI enrichments from Cognitive Services to extract, detect, and analyze information from image files or large unstructured document files.
+
+## Tutorial - Image processing
+
+This sample is a Jupyter Python3 .ipynb file to work with image skills in a skillset. You'll use the Optical Character Recognition (OCR) skill to extract text from a JPG, a personal information identification skill to scrub phone numbers from the image, and a custom function (deployed to Azure Functions).
 
 ## Tutorial - Train and deploy a custom skill with Azure Machine Learning