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Add msgext-products-product-support-sso-ts sample #11

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Jul 15, 2024
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Add msgext-products-product-support-sso-ts sample #11

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1 change: 1 addition & 0 deletions docs/samples.md
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Expand Up @@ -20,6 +20,7 @@ The following samples implement Teams message extensions that extend Copilot for
| [Northwind Inventory extension](https://github.com/OfficeDev/Copilot-for-M365-Plugins-Samples/tree/main/samples/msgext-northwind-inventory-ts) | This TypeScript sample implements a Teams message extension that allows users to query data from the Northwind sample database and take action on that data. |
| [Azure AI search extension](https://github.com/OfficeDev/Copilot-for-M365-Plugins-Samples/tree/main/samples/msgext-doc-search-js) | This JavaScript sample implements a Teams message extension that uses Azure AI search to enable vector search of documents. |
| [Product support extension](https://github.com/OfficeDev/Copilot-for-M365-Plugins-Samples/tree/main/samples/msgext-product-support-sso-csharp) | This .NET sample implements a Teams message extension that allows users to query Products held in SharePoint Online team site via Microsoft Graph. |
| [Product support extension](https://github.com/OfficeDev/Copilot-for-M365-Plugins-Samples/tree/main/samples/msgext-product-support-ts-csharp) | This TypeScript sample implements a Teams message extension that allows users to query Products held in SharePoint Online team site via Microsoft Graph. |
| [.NET Multi Parameters](https://github.com/OfficeDev/Copilot-for-M365-Plugins-Samples/tree/main/samples/msgext-multiparam-csharp) | Plugin that demonstrates how to implement complex utterances and support deep retrieval |
| [TypeScript Multi Parameters](https://github.com/OfficeDev/Copilot-for-M365-Plugins-Samples/tree/main/samples/msgext-multiparam-ts) | Plugin that demonstrates how to implement complex utterances and support deep retrieval |
| [JavaScript Multi Parameters](https://github.com/OfficeDev/Copilot-for-M365-Plugins-Samples/tree/main/samples/msgext-multiparam-js) | Plugin that demonstrates how to implement complex utterances and support deep retrieval |
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