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Document AI Chat using Kernel Memory

This project guides you through building an intelligent document chatbot using Kernel Memory and Azure services. It covers the architecture and implementation details, including using an Azure Function for backend processing, a SharePoint Framework (SPFx) web part for the user interface, and leveraging Azure AI Search and Azure OpenAI for advanced search and response generation. The project also provides step-by-step instructions and references to relevant documentation.

Teams tabWeb partReactSPFx 1.20.0
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The idea behind the sample

This project guides you through building an intelligent document chatbot using Kernel Memory and Azure services. It covers the architecture and implementation details, including using an Azure Function for backend processing, a SharePoint Framework (SPFx) web part for the user interface, and leveraging Azure AI Search and Azure OpenAI for advanced search and response generation. The project also provides step-by-step instructions and references to relevant documentation.

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Start with the author's setup instructions, explore the implementation, and adapt the pattern to your environment. Sample code stays in its original repository, together with its requirements, license and contribution history.

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  • Build your first SharePoint client-side web part — Client-side web parts are client-side components that run in the context of a SharePoint page. Client-side web parts can be deployed to SharePoint environments that support the SharePoint Framework. You can also use modern JavaScript web frameworks, tools, and libraries to build them.
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