Merge pull request #6265 from laujan/patch-1

Update overview.md

Author: prmerger-automator[bot]

articles/ai-services/language-service/conversational-language-understanding/overview.md

@@ -44,10 +44,6 @@ When you integrate a client application with a speech to text component, users c
 
 In a large corporation, an enterprise chat bot may handle various employee affairs. It might handle frequently asked questions served by a custom question answering knowledge base, a calendar specific skill served by conversational language understanding, and an interview feedback skill served by LUIS. Use Orchestration workflow to connect all these skills together and appropriately route the incoming requests to the correct service.
 
-### Agents
-
-CLU is utilized by the [intent routing](https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/agent-catalog/msft-agent-samples/foundry-agent-service-sdk/intent-routing-agent) agent template, which detects user intent and provides exact answering. Perfect for deterministically intent routing and exact question answering with human control.
-
 ## Project development lifecycle
 
 Creating a CLU project typically involves several different steps.

articles/ai-services/language-service/overview.md

@@ -23,11 +23,6 @@ The Language service also provides several new features as well, which can eithe
 * Preconfigured, which means the AI models that the feature uses aren't customizable. You just send your data, and use the feature's output in your applications.
 * Customizable, which means you train an AI model using our tools to fit your data specifically.
 
-Language features are also utilized in [agent templates](https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/agent-catalog):
-
-* [Intent routing agent](https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/agent-catalog/msft-agent-samples/foundry-agent-service-sdk/intent-routing-agent) detects user intent and provides exact answering. Perfect for deterministically intent routing and exact question answering with human controls.
-* [Exact question answering agent](https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/agent-catalog/msft-agent-samples/foundry-agent-service-sdk/exact-qna-agent) answers high-value predefined questions deterministically to ensure consistent and accurate responses.
-
 > [!TIP]
 > Unsure which feature to use? See [Which Language service feature should I use](#which-language-service-feature-should-i-use) to help you decide.
 

articles/ai-services/language-service/question-answering/overview.md

@@ -35,7 +35,6 @@ This documentation contains the following article types:
 * **When you want to provide the same answer to a request, question, or command** - when different users submit the same question, the same answer is returned.
 * **When you want to filter static information based on meta-information** - add [metadata](./tutorials/multiple-domains.md) tags to provide added filtering options relevant to your client application's users and the information. Common metadata information includes [chit-chat](./how-to/chit-chat.md), content type or format, content purpose, and content freshness. <!--TODO: Fix Link-->
 * **When you want to manage a bot conversation that includes static information** - your project takes a user's conversational text or command and answers it. If the answer is part of a predetermined conversation flow, represented in your project with [multi-turn context](./tutorials/guided-conversations.md), the bot can easily provide this flow.
-* **When you want to use an agent to get an exact answer** - Use the [exact question answering](https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/agent-catalog/msft-agent-samples/foundry-agent-service-sdk/customer-service-agent) agent template answers high-value predefined questions deterministically to ensure consistent and accurate responses or the [intent routing](https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/agent-catalog/msft-agent-samples/foundry-agent-service-sdk/intent-routing-agent) agent template, which detects user intent and provides exact answering. Perfect for deterministically intent routing and exact question answering with human control.
 
 ## What is a project?