As AI-driven applications continue to evolve, the need for efficient vector-based search capabilities is greater than ever. Microsoft Semantic Kernel makes it easy to integrate these capabilities with PostgreSQL databases using the connector. Whether you're leveraging cloud-hosted PostgreSQL instances on Amazon Web Services or Google Cloud, this c...

Azure OpenAI Chat Completion with data source provides powerful capabilities for integrating conversational AI into applications. However, using a data source and function calling in a single request is not supported yet. When both features are enabled, function calling is ignored, and only the data source is used. This presents a challenge when re...

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...

In one of the previous posts, we demonstrated how to use JSON Schema to get Structured Output with OpenAI and Python version of Semantic Kernel: Using JSON Schema for Structured Output in Python for OpenAI Models. In this post, we will explore how to implement a JSON Schema-based structured output using .NET version of Semantic Kernel. For mo...

Hello, everyone! AI planning is a powerful tool that allows to generate and execute complex workflows in applications based on specified goal. In Semantic Kernel, it's possible to implement planning logic using FunctionCallingStepwisePlanner class. Today we want to introduce a new way how to achieve the same results by using Automatic Function C...

Hello, everyone! In the fast-paced world of technology, using artificial intelligence to get more out of your data is becoming essential. Azure OpenAI on Your Data is a feature that helps businesses do just that. It combines the advanced AI models from OpenAI with the strong data management tools of Azure, allowing you to use AI with your own da...

It's important to understand how the application behaves and have the ability to override that behavior in runtime based on some conditions. For example, we don't want to send malicious prompt to LLM, and we don't want to expose more information than needed to the end users. A couple of months ago, we added a possibility in Semantic Kernel to ha...

Hi all, Testing is an integral part of the software development process. Unit testing allows to test your functionality in isolation. This usually means that instead of performing real work (e.g. sending HTTP request to LLM), it needs to be replaced with something that only simulates the work and return some predefined result, which will be used...