DOCINFRA-2341_merged_using_automation

blazor/ai-assistview/ai-integrations/gemini-integration.md

@@ -23,7 +23,7 @@ Before starting, ensure you have the following:
 
 ## Set Up the AI AssistView Component
 
-Follow the Syncfusion AI AssistView [Getting Started](../getting-started) guide to configure and render the AI AssistView component in the application and that prerequisites are met.
+Follow the [Getting Started](../getting-started) guide to configure and render the AI AssistView component in the application and that prerequisites are met.
 
 ## Install Dependencies
 

blazor/ai-assistview/ai-integrations/ollama-llm-integration.md

@@ -23,7 +23,7 @@ Before starting, ensure you have the following:
 
 ## Set Up the AI AssistView Component
 
-Follow the Syncfusion AI AssistView [Getting Started](../getting-started) guide to configure and render the AI AssistView component in the application and that prerequisites are met.
+Follow the [Getting Started](../getting-started) guide to configure and render the AI AssistView component in the application and that prerequisites are met.
 
 ## Install Dependency
 

blazor/ai-assistview/ai-integrations/openai-integration.md

@@ -23,7 +23,7 @@ Before starting, ensure you have the following:
 
 ## Set Up the AI AssistView Component
 
-Follow the Syncfusion AI AssistView [Getting Started](../getting-started) guide to configure and render the AI AssistView component in the application and that prerequisites are met.
+Follow the [Getting Started](../getting-started) guide to configure and render the AI AssistView component in the application and that prerequisites are met.
 
 ## Install Dependencies
 
@@ -65,7 +65,7 @@ Note: The sample below uses HttpClient directly and does not require the Azure/O
 
 > `Security Note`: expose your API key in client-side code for production applications. Use a server-side proxy or environment variables to manage sensitive information securely.
 
-## Azure OpenAI with AI AssistView
+## Configure AI AssistView with Azure OpenAI
 
 - Configure your Azure OpenAI endpoint, API key, and deployment name in your **Program.cs** (or using your preferred configuration mechanism).
 

blazor/chat-ui/bot-integrations/integration-with-bot-dialogflow.md

@@ -23,7 +23,7 @@ Before starting, ensure you have the following:
 
 ## Set Up the Chat UI component
 
-Follow the Syncfusion Chat UI Getting Started guide to configure and render the Chat UI component in the application and that prerequisites are met.
+Follow the [Getting Started](../getting-started) guide to configure and render the Chat UI component in the application and that prerequisites are met.
 
 ## Install Dependencies
 
@@ -125,17 +125,17 @@ Add the project ID to `appsettings.json` (extract from the JSON key file if need
 
 ## Configure Message Send
 
-Use the `MessageSend` event of the `SfChatUI` component to handle message exchanges. Each time a user sends a message, this event will be invoked with details of the sent message.
+Use the [MessageSend](https://help.syncfusion.com/cr/blazor/Syncfusion.Blazor.InteractiveChat.SfChatUI.html#Syncfusion_Blazor_InteractiveChat_SfChatUI_MessageSend) event of the `SfChatUI` component to handle message exchanges. Each time a user sends a message, this event will be invoked with details of the sent message.
 
 ### Forward Message to Backend
 
-In the `MessageSend` event handler, send a POST request to your backend API endpoint (`/api/chat/message`). The backend forwards the message to Dialogflow and returns the response.
+In the [MessageSend](https://help.syncfusion.com/cr/blazor/Syncfusion.Blazor.InteractiveChat.SfChatUI.html#Syncfusion_Blazor_InteractiveChat_SfChatUI_MessageSend) event handler, send a POST request to your backend API endpoint (`/api/chat/message`). The backend forwards the message to Dialogflow and returns the response.
 
 ### Displaying Bot Response
 
 * Use the `AddMessageAsync` method (via a reference to the component) to programmatically add the bot's reply to the Chat UI.
 
-* Create or modify a Razor component (`e.g., Pages/Chat.razor`) to integrate the Syncfusion Chat UI with the Dialogflow backend:
+* Create or modify a Razor component (`e.g., Pages/Chat.razor`) to integrate the Chat UI with the Dialogflow backend:
 
 {% tabs %}
 {% highlight razor %}

blazor/chat-ui/bot-integrations/integration-with-bot-framework.md

@@ -23,7 +23,7 @@ Before starting, ensure you have the following:
 
 ## Set Up the Chat UI component
 
-Follow the Syncfusion Chat UI [Getting Started](../getting-started) guide to configure and render the Chat UI component in the application and that prerequisites are met.
+Follow the [Getting Started](../getting-started) guide to configure and render the Chat UI component in the application and that prerequisites are met.
 
 ## Install Dependencies
 
@@ -120,9 +120,9 @@ Add the Direct Line secret to `Web.config`:
 
 ## Configure Chat UI
 
-Use the `MessageSend`event of the `SfChatUI` component to handle message exchanges. This event is triggered before a message is sent, allowing you to forward it to the bot via the Direct Line API. Use the `AddMessageAsync` method (via a reference to the component) to programmatically add the bot's reply to the Chat UI.
+Use the [MessageSend](https://help.syncfusion.com/cr/blazor/Syncfusion.Blazor.InteractiveChat.SfChatUI.html#Syncfusion_Blazor_InteractiveChat_SfChatUI_MessageSend) event to handle message exchanges. This event is triggered before a message is sent, allowing you to forward it to the bot via the Direct Line API. Use the `AddMessageAsync` method (via a reference to the component) to programmatically add the bot's reply to the Chat UI.
 
-Create or modify a Razor component (e.g., `Pages/Chat.razor`) to integrate the Syncfusion Chat UI with the Direct Line API:
+Create or modify a Razor component (e.g., `Pages/Chat.razor`) to integrate the Chat UI with the Direct Line API:
 
 {% tabs %}
 {% highlight cshtml %}