Merge pull request #122 from gmndrg/main

Rebranding to Azure AI Search

Author: gmndrg

00 - Resource Deployment/README.md

@@ -15,15 +15,15 @@ There are two options for deploying the resources to Azure for this solution acc
 
     - You must run PowerShell script with Administrator rights.
 
-    - You must read, understand and agree to *Responsible AI (RAI)* and *Face Legal Terms*. One of the Azure resources that is created when deploying this script is a [Cognitive Services multi-service account](https://docs.microsoft.com/azure/cognitive-services/cognitive-services-apis-create-account). You must acknowledge that you have read, understood and agree to the Responsible AI (RAI) and Face Legal Terms so the script can run successfully. Otherwise, the script execution will be cancelled.
+    - You must read, understand and agree to *Responsible AI (RAI)* and *Face Legal Terms*. One of the Azure resources that is created when deploying this script is a [AI Services multi-service account](https://docs.microsoft.com/azure/cognitive-services/cognitive-services-apis-create-account). You must acknowledge that you have read, understood and agree to the Responsible AI (RAI) and Face Legal Terms so the script can run successfully. Otherwise, the script execution will be cancelled.
 
-    - Your Azure account must have a Cognitive Services Contributor role assigned in order for you to agree to the responsible AI terms and create a resource. To get this role assigned to your account, follow the steps in the Assign roles documentation, or contact your administrator.
+    - Your Azure account must have a AI Services Contributor role assigned in order for you to agree to the responsible AI terms and create a resource. To get this role assigned to your account, follow the steps in the Assign roles documentation, or contact your administrator.
 
-        Below are the RAI and Face Legal Terms. For more recent Terms that may be added after this sample is published, review Cognitive Services Terms of Use documentation.
+        Below are the RAI and Face Legal Terms. For more recent Terms that may be added after this sample is published, review AI Services Terms of Use documentation.
 
         **Responsible AI Notice**
 
-        Microsoft provides technical documentation regarding the appropriate operation applicable to this Cognitive Service that is made available by Microsoft. Customer acknowledges and agrees that they have reviewed this documentation and will use this service in accordance with it. This Cognitive Services is intended to process Customer Data that includes Biometric Data (as may be further described in product documentation) that Customer may incorporate into its own systems used for personal identification or other purposes. Customer acknowledges and agrees that it is responsible for complying with the Biometric Data obligations contained in the Online Services DPA.
+        Microsoft provides technical documentation regarding the appropriate operation applicable to this AI Service that is made available by Microsoft. Customer acknowledges and agrees that they have reviewed this documentation and will use this service in accordance with it. This AI Services is intended to process Customer Data that includes Biometric Data (as may be further described in product documentation) that Customer may incorporate into its own systems used for personal identification or other purposes. Customer acknowledges and agrees that it is responsible for complying with the Biometric Data obligations contained in the Online Services DPA.
 
         [Online Services DPA](https://aka.ms/DPA)
 
@@ -83,7 +83,7 @@ The PowerShell script will provision the following resources to your Azure subsc
 | Resource              | Usage                                                                                     |
 |-----------------------|-------------------------------------------------------------------------------------------|
 | [Azure Search Service](https://azure.microsoft.com/en-us/services/search/)  | The hosting service for the Search Index, Cognitive Skillset, and Search Indexer          |
-| [Azure Cognitive Services](https://docs.microsoft.com/en-us/azure/search/cognitive-search-attach-cognitive-services)	| Used by the Cognitive Skills pipeline to process unstructured data	|
+| [Azure AI Services](https://docs.microsoft.com/en-us/azure/search/cognitive-search-attach-cognitive-services)	| Used by the Cognitive Skills pipeline to process unstructured data	|
 |[Azure Storage Account](https://azure.microsoft.com/en-us/services/storage/?v=18.24) | Data source where raw files are stored                                                     |
 | [Web App](https://azure.microsoft.com/en-us/services/app-service/web/)               | The hosting service for the Search UI                                                     |
 | [Application Insights](https://azure.microsoft.com/en-us/services/monitor/)  | Telemetry monitoring service for the Search UI (*Optional*)									|

01 - Search Index Creation/README.md

@@ -1,6 +1,6 @@
 # Search Index Creation
 
-There are several different ways to create a search index for Azure Cognitive Search. You can choose how to deploy an index based on your skillset, your preferred tools, or your desired level of automation.
+There are several different ways to create a search index for Azure AI Search. You can choose how to deploy an index based on your skillset, your preferred tools, or your desired level of automation.
 
 >**Note:** If you ran the `deploy.ps1` script in the previous step, you've already created your search index so you can skip to the next step.
 
@@ -23,4 +23,4 @@ This folder includes three options for creating an index. Each of these approach
 2. [Create a search index using PowerShell](./Create-Index-PowerShell.md)
 3. [Create a search index using Postman](./Create-Index-Postman.md)
 
-4. Optionally - go thru Sentiment Analysis setup example in [01.1 - BuiltIn Skills](./01.1%20-%20BuiltIn%20Skills/)
+4. Optionally - go thru Sentiment Analysis setup example in [01.1 - BuiltIn Skills](./01.1%20-%20BuiltIn%20Skills/)

02 - Web UI Template/README.md

@@ -1,4 +1,4 @@
-# Cognitive Search UI Template
+# AI Search UI Template
 This folder contains a basic web front end that can be used to quickly create a view of your search results.  With just a few simple steps, you can configure this template UI to query your newly created search index. **CognitiveSearch.UI** is a .NET Core MVC Web app used as a Template UI for querying a search index. This is the focus of this README.
 
 In just a few steps, you can configure this template UI to query your search index. This template will render a web page similar to the following:
@@ -43,10 +43,10 @@ KeyField=metadata_storage_path
 IsPathBase64Encoded=true
 ```
 
-- **SearchServiceName** - The name of your Azure Cognitive Search service
-- **SearchApiKey** - The API Key for your Azure Cognitive Search service
-- **SearchIndexName** - The name of your Azure Cognitive Search index
-- **SearchIndexerName** - The name of your Azure Cognitive Search indexer
+- **SearchServiceName** - The name of your Azure AI Search service
+- **SearchApiKey** - The API Key for your Azure AI Search service
+- **SearchIndexName** - The name of your Azure AI Search index
+- **SearchIndexerName** - The name of your Azure AI Search indexer
 - **StorageAccountName** - The name of your Azure Blob Storage Account
 - **StorageAccountKey** - The key for your Azure Blob Storage Account
 - **StorageContainerAddress** - The URL to the storage container where your - documents are stored. This should be in the following format: *https://- *storageaccountname*.blob.core.windows.net/*containername**
@@ -110,10 +110,10 @@ This file contains a mix of required and optional fields described below.
   "IsPathBase64Encoded": true,
 ```
 
-1. **SearchServiceName** - The name of your Azure Cognitive Search service
-2. **SearchApiKey** - The API Key for your Azure Cognitive Search service
-3. **SearchIndexName** - The name of your Azure Cognitive Search index
-4. **SearchIndexerName** - The name of your Azure Cognitive Search indexer
+1. **SearchServiceName** - The name of your Azure AI Search service
+2. **SearchApiKey** - The API Key for your Azure AI Search service
+3. **SearchIndexName** - The name of your Azure AI Search index
+4. **SearchIndexerName** - The name of your Azure AI Search indexer
 5. **StorageAccountName** - The name of your Azure Blob Storage Account
 6. **StorageAccountKey** - The key for your Azure Blob Storage Account
 7. **StorageContainerAddress** - The URL to the storage container where your documents are stored. This should be in the following format: *https://*storageaccountname*.blob.core.windows.net/*containername**
@@ -174,7 +174,7 @@ If you would like to further customize the UI, you can update the following fiel
 
 ## 3. Add additional customization
 
-This template serves as a great baseline for a Cognitive Search solution, however, you may want to make additional updates depending on your use case.
+This template serves as a great baseline for a AI Search solution, however, you may want to make additional updates depending on your use case.
 
 We have a special behavior if you have a field called *translated_text*. The UI will automatically show the original text and the translated text in the UI. This can be handy. If you would like to change this behavior (disable it, or change the name of the field), you can do that at details.js (GetTranscriptHTML method).
 
@@ -188,4 +188,4 @@ Much of the UI is rendered dynamically by javascript. Some important files to kn
 
 2. **wwroot/js/details.js** - contains the code for rending the detail view once a result is selected
 
-3. **Search/DocumentSearchClient.cs** - contains the code for talking with Azure Cognitive Search's APIs. Setting breakpoints in this file is a great way to debug.
+3. **Search/DocumentSearchClient.cs** - contains the code for talking with Azure AI Search's APIs. Setting breakpoints in this file is a great way to debug.

03 - Data Science and Custom Skills/README.md

@@ -1,9 +1,9 @@
 # Data Science & Custom Skills
-Cognitive Search allows you to extend the out of the box functionality with custom skills. This extensibility enables a broad range of features such as creating custom filters, classifying documents, extracting custom entities, and more.
+AI Search allows you to extend the out of the box functionality with custom skills. This extensibility enables a broad range of features such as creating custom filters, classifying documents, extracting custom entities, and more.
 
 This folder contains some example templates you can leverage to build your own custom skills and some useful Python notebooks you can use if you are building ML models.
 
-Cognitive Search is agnostic to the tool(s) you use to build your custom skills, which are deployed as restful APIs.  The only requirements for building your custom skill(s) are:
+AI Search is agnostic to the tool(s) you use to build your custom skills, which are deployed as restful APIs.  The only requirements for building your custom skill(s) are:
 
 1. Have a secure, HTTPS, end-point.
 2. Follow the defined input/output schema shown [here](https://docs.microsoft.com/azure/search/cognitive-search-custom-skill-interface). 
@@ -20,7 +20,7 @@ In general, there are two types of custom skills that are most commonly used:
 Deploying an Azure Function is the quickest and easiest way to create a custom skill. This repo used to have it's own Azure Function templates but now links out to the [PowerSkills repo](https://github.com/Azure-Samples/azure-search-power-skills) that includes an array of custom skill options and fully automates the deployment process. Azure Functions are the recommended approach for deploying skills that do not require an ML model.
 
 ### 2.0 Azure Machine Learning Custom Skills
-ML models can be used to enhance the Cognitive Search pipeline. In this template, Azure Machine Learning is used to build and deploy the model. The AML Custom Skill Template provides the files needed to quickly deploy a model to be used as a custom skill. 
+ML models can be used to enhance the AI Search pipeline. In this template, Azure Machine Learning is used to build and deploy the model. The AML Custom Skill Template provides the files needed to quickly deploy a model to be used as a custom skill. 
 
 > This template does not currently use the [AML Custom skill format](https://docs.microsoft.com/azure/search/cognitive-search-aml-skill) that's available in public preview but rather is designed to be deployed as a conventional [Web API skill](https://docs.microsoft.com/azure/search/cognitive-search-custom-skill-web-api). There's a separate tutorial that walks through the process of [creating an AML skill](https://docs.microsoft.com/azure/search/cognitive-search-tutorial-aml-custom-skill) based off of that functionality.
 

04 - Reporting/README.md

@@ -1,6 +1,6 @@
 # Reporting
 
-A PowerBI Template file has been created so you can quickly spin up reports based on the Cognitive Search Template UI. To create the reports, simply open **Cognitive Search.pbit** using PowerBI Desktop.
+A PowerBI Template file has been created so you can quickly spin up reports based on the AI Search Template UI. To create the reports, simply open **Cognitive Search.pbit** using PowerBI Desktop.
 
 ## Prerequisites
 
@@ -38,9 +38,9 @@ If you do not see any details in Power BI (even after hitting the Refresh button
 ## Additional Materials
 For more information on PowerBI and developing reports on PowerBI see [What is Power BI](https://docs.microsoft.com/en-us/power-bi/power-bi-overview).
 
-Alternatively, you can use the new Power BI report that is automatically included with Azure Cognitive Search. In order to access it, goto the Search instance in your subscription, navigate to `Search traffic analytics`, and select `Download Power BI report`.
+Alternatively, you can use the new Power BI report that is automatically included with Azure AI Search. In order to access it, goto the Search instance in your subscription, navigate to `Search traffic analytics`, and select `Download Power BI report`.
 
 Both reports have comparable capabilties and can be used to develop more sophisticated dashboards.
 
 ## Special Thanks 
-Special thanks to Emilio D'Angelo for creating this PBI template. 
+Special thanks to Emilio D'Angelo for creating this PBI template.