Dev Blogs
Semantic Kernel Chat Copilot We're excited to introduce Semantic Kernel's Chat Copilot 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 up-t...
Interview with Qdrant CEO and co-founder Andre Zayarni Semantic Kernel now works seamlessly with the open-source vector database Qdrant — just launch an instance of Qdrant on Azure with one click and you're good to go. You can learn more about Qdrant's history in this interview with the CEO and co-founder, Andre Zayarni: SK: What moment in yo...
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 retrie...
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 of ext...
Just a few weeks ago we came out with Semantic Kernel in C# and with an experimental branch for Python. Today we're happy to announce that based upon community feedback, we have an official Python release now available on GitHub. You know what that means ... and you're good to go! 🎉🎉🎉 Why Release Semantic Kernel In Python? Python is widely use...
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 seamlessly with...
"We're not just creating AI for AI's sake, but we're creating AI that serves a purpose, that solves a problem, that empowers people, that respects people." —Haiyan Zhang Haiyan Zhang is a creative technologist, designer, and maker who has worked on projects ranging from wearable devices for people with Parkinson's to immersive experiences for so...
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 Semanti...
In this post, we will show you how to use the Summarize Skill, one of the many skills available in the Semantic Kernel repo, to create concise and actionable summaries of your chat conversations. The Summarize Skill uses AI to extract the main points, topics, and action items from any text input. You can use it to quickly review what was discus...
Semantic Kernel (SK) is a lightweight SDK that lets you mix conventional programming languages, like C# and Python, with the latest in Large Language Model (LLM) AI “prompts” with prompt templating, chaining, and planning capabilities. Its Planner Skill allows users to create and execute plans based on semantic queries. Recently, the addition ...