Update overview.md

Author: laujan

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?