Joche Ojeda
Using DevExpress Chat Component and Semantic Kernel ResponseFormat to show a product carousel
On a snowy Saturday, I decided to explore a Blazor project using DevExpress Chat Component and Semantic Kernel. This setup allows us to display product lists as carousels in chat, leveraging AI to dynamically format responses in JSON. Check out how prompt execution settings ensure seamless, adaptable LLM responses
Async Code Execution in XAF Actions
Async execution in XAF can be challenging, especially in keeping the UI responsive. This article covers approaches like using async actions, potential pitfalls, and a solution with an AsyncBackgroundWorker for better UI interaction. Complete code examples are available on GitHub for detailed exploration and implementation
Querying Semantic Memory with XAF and the DevExpress Chat Component
Explore how to integrate DevExpress’s new chat component with XAF and Semantic Kernel. This post walks through creating a custom property editor, using XPO for Semantic Memory storage, and handling message callbacks. Learn how to store and query memories to enhance your AI-driven applications with ease.
Rewriting the XPO Semantic Kernel Memory Store to be Compatible with XAF
This article explores the process of adapting the XPO memory store to work with XAF by rewriting its data layer and making it more flexible for handling embeddings. It introduces the IXpoEntryManager interface to enhance object creation and querying while ensuring compatibility with XAF’s architecture.
AI-Powered XtraReports in XAF: Unlocking DevExpress Enhancements
This blog post explores how to integrate AI-powered enhancements into DevExpress Reporting using Blazor. It walks through the setup process, including NuGet package references and configuring AI behavior for XtraReport. With easy-to-follow steps and code snippets, you’ll learn how to leverage AI features like summarization in your reports effortlessly.
The New Era of Smart Editors: Creating a RAG system using XAF and the new Blazor chat component
This article explores the integration of AI-powered chat functionality into XAF applications using the new DevExpress components. It guides developers through creating a custom property editor, utilizing Retrieval-Augmented Generation (RAG) for enhanced document analysis, and demonstrates how to bridge XAF and Blazor for seamless AI integration in .NET applications.