More metadata cleanup

Author: HeidiSteen

Quickstart/README.md

@@ -7,10 +7,9 @@ products:
   - azure
   - azure-search
 description: "This Python sample demonstrates a connection to Azure Search, creating and loading an index, and query execution. Calls to Azure Search are made using REST APIs."
-urlFragment: python-sample-quickstart
 ---
 
-# Python sample for an Azure Search quickstart
+# Quickstart sample for Azure Search using Python
 
 Demonstrates connecting to Azure Search, creating and loading an index consisting of fictitious hotel data, and running queries. A Jupyter Python Notebook is used to run this code. Calls to Azure Search are through the REST APIs
 

README.md

@@ -1,7 +1,7 @@
 ---
-page_type: sample
 languages:
   - python
+  - rest
 products:
   - azure
   - azure-search

Tutorial-AI-Enrichment/README.md

@@ -9,7 +9,6 @@ products:
 description: "This Python sample Jupyter notebook demonstrates AI enrichment using Cognitive Services in an Azure Search indexing pipeline. Calls to Azure Search are made using REST APIs. "
 ---
 
-
 # Get started with cognitive search AI enrichment in Azure Search
 
 Demonstrates AI enrichment by building a cognitive search indexing pipeline that detects and extracts text and text representations of images and scanned documents stored as blobs in Azure Blob storage. This sample leverages cognitive skills from the Azure Cognitive Services API, such as entity recognition and language detection. It uses the REST APIs to make calls to Azure Search, including index definition, data ingestion and AI enrichment, and query execution.