Showing results for Category: Semantic Kernel from Semantic Kernel

Join us this November 14-16 for the .NET Conf 2023, an event focused on knowledge sharing and the latest in .NET development.  The conference will feature non-stop sessions over three days, ensuring that no matter where you are in the world, there’s something for you to tune into. We understand the value of direct interaction and have planned for l...

As part of this guest blogpost by the MongoDB Atlas Vector Search team, we are excited to announce native support for MongoDB Atlas Vector Search in Microsoft Semantic Kernel. With this integration, users can bring the power of LLMs (large language models) to their proprietary data securely, and build generative AI applications using RAG (retrieval...

On Monday, we shared that the future of Semantic Kernel will leverage OpenAI Assistants so you can take advantage of the ease-of-use they provide in creating agents and copilots. In this blog post, we wanted to pick up where we left off and share an incremental update on our current progress while also diving into some of the scenarios we want...

As the Microsoft Ignite event approaches on November 16th, we are excited to invite you to join us for a live session at the Seattle Convention Center Summit. This gathering is a special opportunity for business leaders and AI enthusiasts to gain insight into the advancements of Semantic Kernel, particularly in the realms of Plugins, Planners, and ...

During the OpenAI event earlier today, OpenAI announced the launch of GPTs and the assistants API, the new and improved ways of creating agents on top of their chat completion models. With assistants, much of the heavy lifting required to build agents has been stripped away… This ultimately means it’ll be faster, and easier, for yo...

In this blog post, we show you how you can use Semantic Kernel with AutoGen, a Microsoft Research project that shows the potential of using multiple agents together. With AutoGen, Microsoft research has shown that multiple agents can be better than one. To actually do work, however, agents within AutoGen need hooks into the real world so they ca...

Semantic Kernel v1.0 has shipped and the contents of this blog entry is now out of date. In a previous article, we announced the beta launch of Semantic Kernel v1. In that article, we shared the initial breaking changes we made for v1: 1) renaming skills to plugins, 2) making Semantic Kernel AI service agnostic while still supporting first cla...

Large Language Models (LLMs) have revolutionized our interaction with software. However, there's a catch - their responses can be monotonous and impersonal. This is where 'personas' come in. They add a human touch to LLMs, transforming generic outputs into customized responses that resonate with users. This is particularly handy in applications lik...

Chat Copilot Release 0.5 introduces the integration of Semantic Memory (SM).  Chat Copilot now utilizes the ISemanticMemoryClient interface from SM instead of the ISemanticTextMemory interface associated with Semantic Kernel memory connectors. Semantic Memory (SM) is an open-source platform specialized in the efficient indexing of datasets t...

Semantic Kernel v1.0 has shipped and the contents of this blog entry is now out of date. As mentioned in the Skills to Plugins blog post, the Semantic Kernel team has been preparing the Semantic Kernel SDK for v1.0.0. Today, we're making our first big push by releasing the first release candidate: v1.0.0-beta1. This release has several breaki...