LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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Install-free PDF editing, form filling, redaction, signing, viewing, and more on your website with RAD PDF!
Packaged as an easy to use library / WebControl (compatible with .NET 3.5+, .NET Core, and .NET 5+), RAD PDF can be used with just about any flavor of ASP.NET including MVC, Razor, Blazor, WebForms, and more.
RAD PDF is compatible with 99% of internet browsers, including those on Linux, Mac OS X, Microsoft Windows, and mobile. No plugins. No Adobe Reader. RAD PDF is more than a PDF to HTML converter. It natively supports all the most common PDF features including annotations, bookmarks, form fields, page labels, and more.
With advanced PDF options, RAD PDF allows you to selectively enable and disable features not available with Adobe Acrobat Reader, like protecting a PDF from being downloaded while still viewable online.
RAD PDF users can use PDF form fields directly from the web browser by enabling PDF form filling and PDF form saving without having to install any software.
Integrating directly with ASP.NET, RAD PDF allows your web application to capture input data, build custom workflows, and provide an intuitive graphical user interface (GUI) for just about any online PDF interaction imaginable!
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wysihtml
Wysihtml presents a more flexible and lenient alternative to the xing/wysihtml5 open-source rich text editor. Its code is designed to be independent of any specific library, incorporating all necessary dependencies without the need for jQuery, Prototype, or similar frameworks. The current set of bundled dependencies includes rangy.js, which has the textrange and selectionsaverestore modules, in addition to base.js. This initiative is backed by Voog and is a collaborative effort for developing a wysiwyg HTML rich text editor that anyone in web development can utilize in their projects. It is characterized by its speed and lightweight nature, along with features such as automatic URL linking while typing and producing valid, semantic HTML5—even when content is pasted from Word—without requiring iframes or jQuery. Furthermore, it is modular, allowing users to integrate their own custom tools. The project's object namespace has transitioned from wysihtml5 to wysihtml, affecting all class names and event identifiers. Additionally, the default toolbar has been transitioned into an independent module (wysihtml.toolbar.js), which must be included separately for functionality. Overall, this editor simplifies rich text editing for developers while maintaining a focus on performance and flexibility.
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ProseMirror
Ideally, content editors should create documents that are both clean and semantically rich, while still being user-friendly. ProseMirror aims to connect the worlds of precise content editing, such as Markdown or XML, and traditional WYSIWYG editors. It achieves this by offering a WYSIWYG-style interface designed for documents that are more structured and constrained than standard HTML. Additionally, you can modify the format and organization of the documents generated by your editor to fit the specific requirements of your application. ProseMirror provides solid, foundational support for collaborative editing, enabling multiple users to work on the same document simultaneously. Its document schemas facilitate the editing of uniquely structured documents without the necessity of building a new editor from the ground up. The system's modular design ensures that you only load essential code, allowing for the replacement of components as needed. Furthermore, a flexible plugin system enables you to easily add extra features, enhancing the editor's capabilities. This versatility makes ProseMirror a powerful choice for developers seeking a customizable editing experience.
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