Showing results for Category: .NET from Semantic Kernel

Jun 5, 2025
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Smarter SK Agents with Contextual Function Selection

Sergey Menshykh
Sergey Menshykh

Smarter SK Agents with Contextual Function Selection In today's fast-paced AI landscape, developers are constantly seeking ways to make AI interactions more efficient and relevant. The new Contextual Function Selection feature in the Semantic Kernel Agent Framework is here to address this need. By dynamically selecting and advertising only the mos...

Semantic KernelAnnouncement.NET
May 28, 2025
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Semantic Kernel and Microsoft.Extensions.AI: Better Together, Part 2

Roger Barreto
Roger Barreto

This is Part 2 of our series on integrating Microsoft.Extensions.AI with Semantic Kernel. In Part 1, we explored the relationship between these technologies and how they complement each other. Now, let's dive into practical examples showing how to use Microsoft.Extensions.AI abstractions with Semantic Kernel in non-agent scenarios. Getting Start...

Semantic KernelAnnouncementSamples
May 21, 2025
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Semantic Kernel and Microsoft.Extensions.AI: Better Together, Part 1

Roger Barreto
Roger Barreto

This is the start of a series highlighting the integration between Microsoft Semantic Kernel and Microsoft.Extensions.AI. Future parts will provide detailed examples of using Semantic Kernel with Microsoft.Extensions.AI abstractions.  The most common questions are:  This blog post will address these questions and offer guidance ...

Semantic KernelAnnouncementSamples
May 21, 2025
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Transitioning to new Extensions AI IEmbeddingGenerator interface

Roger Barreto
Roger Barreto

As Semantic Kernel shifts its foundational abstractions to Microsoft.Extensions.AI, we are obsoleting and moving away from our experimental embeddings interfaces to the new standardized abstractions that provide a more consistent and powerful way to work with AI services across the .NET ecosystem. The Evolution of Embedding Generation in Seman...

Semantic KernelAnnouncementSamples
May 21, 2025
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Vector Data Extensions are now Generally Available (GA)

Wes Steyn Shay Rojansky
Wes,
Shay

We’re excited to announce the release of Microsoft.Extensions.VectorData.Abstractions, a foundational library providing exchange types and abstractions for vector stores when working with vector data in AI-powered applications. This release is the result of a close collaboration between the Semantic Kernel and .NET teams, combining expertise in AI ...

Semantic Kernel.NETVector Database
May 16, 2025
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Semantic Kernel: Package previews, Graduations & Deprecations

Sophia Lagerkrans-Pandey Sergey Menshykh
Sophia,
Sergey

Semantic Kernel: Package Previews, Graduations & Deprecations We are excited to share a summary of recent updates and continuous clean-up efforts across the Semantic Kernel .NET codebase. These changes focus on improving maintainability, aligning with the latest APIs, and ensuring a consistent experience for users. Below you’ll find details on...

Semantic Kernel.NET
Apr 9, 2025
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Announcing Hybrid Search with Semantic Kernel for .NET

Wes Steyn
Wes Steyn

Today we’re thrilled to announce support for Hybrid search with Semantic Kernel Vector Stores for .NET. What is Hybrid Search? Hybrid search performs two parallel searches on a vector database.  The union of the results of these two searches are then returned to callers with a combined rank, based on the rankings from each of the constituent sear...

Semantic Kernel.NET
Apr 3, 2025
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Using OpenAI’s Audio-Preview Model with Semantic Kernel

Roger Barreto
Roger Barreto

OpenAI's gpt-4o-audio-preview is a powerful multimodal model that enables audio input and output capabilities, allowing developers to create more natural and accessible AI interactions. This model supports both speech-to-text and text-to-speech functionalities in a single API call through the Chat Completions API, making it suitable for building vo...

Semantic KernelSamples.NET
Mar 28, 2025
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Building a Model Context Protocol Server with Semantic Kernel

Sergey Menshykh
Sergey Menshykh

This is second MCP related blog post that is part of a series of blog posts that will cover how to use Semantic Kernel (SK) with the Model Context Protocol (MCP). This blog post demonstrates how to build an MCP server using MCP C# SDK and SK, expose SK plugins as MCP tools and call the tools from client side via SK. Here are a few reasons wh...

Semantic KernelSamples.NET
Mar 6, 2025
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Effortlessly Integrate xAI’s Grok with Semantic Kernel

Roger Barreto
Roger Barreto

For Semantic Kernel users, integrating xAI's Grok API using the OpenAI connector is a breeze thanks to its compatibility with OpenAI's API format. This tutorial focuses on setting up Grok in your Semantic Kernel projects with minimal fuss, using C# and Python examples. Why Grok? Grok, built by xAI, is a powerful AI model, offers a 128k conte...

Semantic KernelAnnouncement.NET