Showing tag results for python

We are thrilled to announce the General Availability (GA) of our Memory packages for .NET, Java, and Python! The Semantic Kernel team and our partners have been working hard to allow you to quickly connect to vector stores and make it easy for you to do embeddings and data retrieval between stores. Transforming Data Management with Vector Stores...

We are excited to announce the General Availability (GA) release of Filters for our .NET and Python Semantic Kernel! This vital enhancement strengthens the control and visibility developers have when running functions, ensuring responsible AI practices are instilled from the ground up. Filters not only improve security but also contribute to buildi...

We are thrilled to announce the General Availability (GA) release of the OpenAPI package for Semantic Kernel, available for both .NET and Python! With this significant milestone, developers can easily integrate existing APIs as plugins, enhancing the capabilities of their AI agents while making them more versatile in real-world applications. Why O...

We are pleased to announce the arrival of audio support in Semantic Kernel Python. This new audio functionality will enable you to create more interactive and accessible user experiences. In this blog post, I will detail the new interface, the existing connectors, and provide samples. Please continue reading for more information. Audio-to-Text Th...

As we continue to empower developers in embedding AI into their workflows, we are thrilled to announce significant updates to the Microsoft Semantic Kernel's Process Framework. Building on our introductory blog, we’ve made enhancements that further streamline business process automation and AI integration and help you to be successful with the Sema...

The Semantic Kernel Agent Framework revolutionizes how developers can interact with Large Language Models (LLMs) by embedding dynamic, multi-step agents into their applications. By combining the power of LLMs with structured programming, the framework allows developers to build intelligent systems that can autonomously carry out tasks, reason based...

We are thrilled to announce that Microsoft Semantic Kernel Python Kernel has reached an incredible milestone of 1,000,000 downloads! This achievement would not have been possible without the unwavering support and enthusiasm of our community. We want to extend our heartfelt thanks to every developer, contributor, and user who has embraced the Pytho...

In working with AI applications, ensuring that the output generated by a language model is structured and follows a consistent format is critical—especially when handling complex tasks like solving math problems. A powerful way to achieve this is through the use of JSON Schema, which allows the AI model to produce outputs that align with a predefin...

One of the most exciting features available in certain Large Language Models (LLMs) is function-calling. In Semantic Kernel, we handle the heavy lifting so that you can bring your own code or utilize built-in plugins that cater to your use case. Our goal is to make it easy for you to incorporate function calling into your application. Today, we'll ...

The term "agent" has become a popular term within the industry. There have many different definitions, but at their core, they consist of a system prompt (i.e., a persona), plugins, and an ability to automatically reason and create plans to address user goals. Up until today, we've demonstrated how you could use components of Semantic Kernel to ...