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Evan Mattson
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### Motivation and Context Update the samples/demos readme. <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> ### Description Update the samples/demos readme. <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [X] The code builds clean without any errors or warnings - [X] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [X] All unit tests pass, and I have added new tests where possible - [X] I didn't break anyone 😄
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Semantic Kernel Demo Applications
Demonstration applications that leverage the usage of one or many SK features
| Type | Description |
|---|---|
| assistants_group_chat | A sample Agent demo that shows a chat functionality with an OpenAI Assistant agent. |
| booking_restaurant | A sample chat bot that leverages the Microsoft Graph and Bookings API as a Semantic Kernel plugin to make a fake booking at a restaurant. |
| guided_conversations | A sample showing a framework for a pattern of use cases referred to as guided conversations. |
| processes_with_dapr | A sample showing the Semantic Kernel process framework used with the Python Dapr runtime. |
| telemetry_with_application_insights | A sample project that shows how a Python application can be configured to send Semantic Kernel telemetry to Application Insights. |