Merge pull request #4570 from syncfusion-content/updated-concerns-UG

updated UG concerns

Author: IndrajithSrinivasan

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.MVC/ai-integrations/gemini-integration.md

@@ -20,7 +20,7 @@ Before integrating Gemini AI, ensure that the Syncfusion AI AssistView control i
 
 ## Prerequisites
 
-* Google account to generate API key on accessing `Gemini AI`.
+* Google account to generate API key on accessing [Gemini](https://ai.google.dev/gemini-api/docs).
 * [System requirements for ASP.NET MVC controls](https://ej2.syncfusion.com/aspnetmvc/documentation/system-requirements) to create MVC application
 
 ## Install Packages
@@ -43,7 +43,7 @@ NuGet\Install-Package Mscc.GenerativeAI
 
 ## Generate API Key
 
-1. Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and sign in with your Google account. If you don’t have one, create a new account.
+1. Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and sign in with your google account. If you don’t have one, create a new account.
 
 2. Once logged in, click on `Get API Key` from the left-hand menu or the top-right corner of the dashboard.
 
@@ -74,12 +74,12 @@ string apiKey = 'Place your API key here';
 {% endhighlight %}
 {% endtabs %}
 
-![Gemini AI](../../images/gemini-ai.png)
+![Gemini AI](../images/gemini-ai.png)
 
 ## Run and Test
 
 Run the application in the browser using the following command.
 
 Build and run the app (Ctrl + F5).
 
-Open `https://localhost:44321` to interact with your Gemini AI for dynamic response.
+Open the hosted link to interact with the Gemini AI for dynamic response

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.MVC/ai-integrations/ollama-llm-integration.md

@@ -71,12 +71,12 @@ builder.Services.AddChatClient(new OllamaChatClient(new Uri("http://localhost:11
 {% endhighlight %}
 {% endtabs %}
  
-![LLM Model](../../images/llm-model.png)
+![LLM Model](../images/llm-model.png)
 
 ## Run and Test
  
 Run the application in the browser using the following command.
  
 Build and run the app (Ctrl + F5).
  
-Open `https://localhost:7121/` to interact with your LLM Model for dynamic response.
+Open the hosted link to interact with your LLM Model for dynamic response.

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.MVC/ai-integrations/openai-integration.md

@@ -20,7 +20,7 @@ Before integrating Azure Open AI, ensure that the Syncfusion AI AssistView contr
 
 ## Prerequisites
 
-* An Azure account with access to `Azure Open AI` services and a generated API key.
+* An Azure account with access to [Azure Open AI](https://microsoft.github.io/PartnerResources/skilling/ai-ml-academy/resources/openai) services and a generated API key.
 * [System requirements for ASP.NET MVC controls](https://ej2.syncfusion.com/aspnetmvc/documentation/system-requirements) to create MVC application
 
 ## Install Packages
@@ -49,7 +49,7 @@ NuGet\Install-Package Azure.Core
 
 2. Under Resource Management, select Keys and Endpoint to retrieve your API key and endpoint URL.  
 
-3. Copy the API key, endpoint, and deployment name (e.g., gpt-4o-mini). Ensure the API version (e.g., 2024-07-01-preview) matches your resource configuration.
+3. Copy the API key, endpoint, and deployment name (e.g., gpt-4o-mini). Ensure the API version matches your resource configuration.
 
 4. Store these values securely, as they will be used in your application.
 
@@ -78,12 +78,12 @@ string deploymentName = "Your_Deployment_Name";
 {% endhighlight %}
 {% endtabs %}
 
-![Azure Open AI](../../images/open-ai.png)
+![Azure Open AI](../images/open-ai.png)
 
 ## Run and Test
 
 Run the application in the browser using the following command.
 
 Build and run the app (Ctrl + F5).
 
-Open `https://localhost:44321` to interact with your Azure Open AI for dynamic response.
+Open the Hosted link to interact with your Azure Open AI for dynamic response.

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.NETCORE/ai-integrations/gemini-integration.md

@@ -20,7 +20,7 @@ Before integrating Gemini AI, ensure that the Syncfusion AI AssistView control i
 
 ## Prerequisites
 
-* Google account to generate API key on accessing `Gemini AI`.
+* Google account to generate API key on accessing [Gemini](https://ai.google.dev/gemini-api/docs).
 * [System requirements for ASP.NET Core controls](https://ej2.syncfusion.com/aspnetmvc/documentation/system-requirements) to create Core application
 
 ## Install Packages
@@ -43,7 +43,7 @@ NuGet\Install-Package Mscc.GenerativeAI
 
 ## Generate API Key
 
-1. Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and sign in with your Google account. If you don’t have one, create a new account.
+1. Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and sign in with your google account. If you don’t have one, create a new account.
 
 2. Once logged in, click on `Get API Key` from the left-hand menu or the top-right corner of the dashboard.
 
@@ -74,12 +74,12 @@ string apiKey = 'Place your API key here';
 {% endhighlight %}
 {% endtabs %}
 
-![Gemini AI](../../images/gemini-ai.png)
+![Gemini AI](../images/gemini-ai.png)
 
 ## Run and Test
 
 Run the application in the browser using the following command.
 
 Build and run the app (Ctrl + F5).
 
-Open `https://localhost:44321` to interact with your Gemini AI for dynamic response.
+Open the hosted link to interact with the Gemini AI for dynamic response

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.NETCORE/ai-integrations/ollama-llm-integration.md

@@ -71,12 +71,12 @@ builder.Services.AddChatClient(new OllamaChatClient(new Uri("http://localhost:11
 {% endhighlight %}
 {% endtabs %}
  
-![LLM Model](../../images/llm-model.png)
+![LLM Model](../images/llm-model.png)
 
 ## Run and Test
  
 Run the application in the browser using the following command.
  
 Build and run the app (Ctrl + F5).
  
-Open `https://localhost:7121/` to interact with your LLM Model for dynamic response.
+Open the hosted link to interact with your AI model where you can enter prompts and receive responses from the Ollama model.

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.NETCORE/ai-integrations/openai-integration.md

@@ -20,7 +20,7 @@ Before integrating Azure Open AI, ensure that the Syncfusion AI AssistView contr
 
 ## Prerequisites
 
-* An Azure account with access to `Azure Open AI` services and a generated API key.
+* An Azure account with access to [Azure Open AI](https://microsoft.github.io/PartnerResources/skilling/ai-ml-academy/resources/openai) services and a generated API key.
 * [System requirements for ASP.NET MVC controls](https://ej2.syncfusion.com/aspnetmvc/documentation/system-requirements) to create Core application
 
 ## Install Packages
@@ -49,7 +49,7 @@ NuGet\Install-Package Azure.Core
 
 2. Under Resource Management, select Keys and Endpoint to retrieve your API key and endpoint URL.  
 
-3. Copy the API key, endpoint, and deployment name (e.g., gpt-4o-mini). Ensure the API version (e.g., 2024-07-01-preview) matches your resource configuration. 
+3. Copy the API key, endpoint, and deployment name (e.g., gpt-4o-mini). Ensure the API version matches your resource configuration. 
 
 4. Store these values securely, as they will be used in your application.
 
@@ -78,12 +78,12 @@ string deploymentName = "Your_Deployment_Name";
 {% endhighlight %}
 {% endtabs %}
 
-![Azure Open AI](../../images/open-ai.png)
+![Azure Open AI](../images/open-ai.png)
 
 ## Run and Test
 
 Run the application in the browser using the following command.
 
 Build and run the app (Ctrl + F5).
 
-Open `https://localhost:44321` to interact with your Azure Open AI for dynamic response.
+Open the hosted link to interact with your Azure Open AI for dynamic response.