Semantic Kernel

The latest news from the Semantic Kernel team for developers

Semantic Kernel + Qdrant = Persistent Memories Powered By Open Source

(image) (image) 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...

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

(image) 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 ...

Money Talks: Chatting With Your Favorite 10-K

(image) 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...

Semantic Kernel Now Available In Python Flavor

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...

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.

(image) 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 ...

How to Deploy Semantic Kernel to Azure in Minutes

UPDATE: See the blog post: How to deploy Semantic Kernel to Azure as a web application service on the easiest way to deploy Semantic Kernel to your Azure instance.   If you have been following the Semantic Kernel GitHub repo, you have probably experimented with some of the examples and seen how powerful and flexible the platform is ...