This repository presents best practices and a reference implementation for Memory in specific AI and LLMs application scenarios. Please note that the code provided serves as a demonstration and is not ...

AI agents have fundamentally changed the threat model of AI model-based applications. By equipping these models with plugins (also called tools), your agents no longer just generate text; they now ...

If you want to use Microsoft's Semantic Kernel SDK with Amazon Bedrock - including third-party models like Google Gemma - there's a neat trick that saves you a lot of pain. This article walks through ...

Microsoft has made SQL Server 2025 generally available. The latest version of the database focuses on built-in AI functionality and developer improvements. In addition, the release offers improved ...

As artificial intelligence (AI) continues to transform industries, developers are seeking robust frameworks to build intelligent, scalable, and efficient AI agents. Enter Semantic Kernel, an ...

Semantic Kernel Quick-start is a .NET Web API CRUD Microservice solution with Blazor Copilot-ish Chat client that demonstrates the most basic use cases of the Microsoft Semantic Kernel in a Clean ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...

Large language models (LLMs) by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get ...

Microsoft has been busy updating its Semantic Kernel open source SDK for creating AI-infused applications, recently adding Java support and integration with Azure Cognitive Search. The SDK helps ...