How to use plugins with Semantic Kernel

Have you wondered how you can use plugins with Semantic Kernel? Or maybe you want to use plugins for your own co-pilot chat app just like our sample app? Well, I have answers for you. I will guide you an example that uses Semantic Kernel with a GitHub Open API plug-in to build a console chat experience using action planner and a chat ...

Plugging into Jira from Semantic Kernel

Have you ever wished you could access Jira data and functionality from within your chat conversations? Do you want to make your chat interactions more productive, collaborative, and intelligent? If so, you will love the new Jira connector feature in Copilot chat starter app. In this blog post, we will show you how you can use Jira connector ...

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 ...