Announcing Copilot Chat

Semantic Kernel Copilot Chat   We're excited to introduce Semantic Kernel's Copilot Chat sample app! With this app, developers can easily build their own chatbot using advanced features such as natural language processing, speech recognition, and file uploading. By leveraging LLM-based AI, you can make the chat smarter with your own...

The Power of Persistent Memory with Semantic Kernel and Qdrant Vector Database

A key component of leveraging machine learning large languages models (LLM) for natural language processing (NLP) in applications for chat search like ChatGPT, ranking and recommendation engines, anomaly detection, and semantic search is the ability to leverage massive amounts of unstructured data for search. But where would we save and ...

Money Talks: Chatting With Your Favorite 10-K

Adam Hurwitz recently shared a popular blog post about using Semantic Kernel to chat with the Microsoft 10-K, which can be extended to any other 10-K document that you like. As a seasoned pro in the space of Financial Services applications, Adam's hands-on experience with LLM AI is indicative of how each industry vertical is on the brink ...

Semantic Kernel Tools

We are excited to announce the release of Semantic Kernel Tools, the first Semantic Kernel extension for Visual Studio Code. With this extension, developers can develop their own semantic skills on Semantic Kernel faster and with greater ease.  Semantic Kernel Tools provides a user-friendly interface that integrates ...

How to use Semantic Kernel for multi-modal experiences.

Multi-modal interfaces are becoming increasingly popular for app developers. These interfaces allow users to interact with apps in a variety of ways by combining different modes of input and output, such as voice, touch, and visuals, to create a more interactive and engaging user experience. In this blog we will overview how you can use ...