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As the Microsoft Ignite event approaches on November 16th, we are excited to invite you to join us for a live session at the Seattle Convention Center Summit. This gathering is a special opportunity for business leaders and AI enthusiasts to gain insight into the advancements of Semantic Kernel, particularly in the realms of Plugins, Planners, and ...

Chat Copilot Release 0.5 introduces the integration of Semantic Memory (SM).  Chat Copilot now utilizes the ISemanticMemoryClient interface from SM instead of the ISemanticTextMemory interface associated with Semantic Kernel memory connectors. Semantic Memory (SM) is an open-source platform specialized in the efficient indexing of datasets t...

Semantic Kernel is a powerful SDK that enables developers to build intelligent applications with ease. With the latest update to the .net SDK, the addition of pre and post hooks takes the functionality of Semantic Kernel to new heights. Benefits of Pre and Post Hooks Pre and post hooks provide developers with a way to intercept function executi...

Error handling is an essential aspect of application development. It ensures that applications can gracefully handle unexpected situations and provide meaningful feedback to users. In this blog post, we will explore the recent improvements made by the team to the error handling mechanism in the Semantic Kernel (SK) .net library. SKException: M...

We are introducing enhancements to greatly improve performance, reduce cost and data throughput for customers of Chat Copilot. In the current design, partitions are defined by an ID. Overtime as the CosmosDB grows with increased storage we have seen scenarios with extended processing time when customers try to load the list of chats for a curre...

As more and more customers are becoming reliant on the Semantic Kernel SDK to create sophisticated and powerful applications, we have heard the need for greater transparency into end-to-end traceability and debugging. For example, if you want to know how a specific plugin can impact performance or looking for a way to debug a request this blog po...

We're excited to announce integration of Azure AI Search with Semantic Kernel, available in both C# and Python. This integration follows the existing Semantic Memory architecture, making it incredibly easy for developers to add memory to prompts and plugins. This integration unlocks the following key benefits. By leveragi...

Hello Java developers! We are thrilled to announce the first release of the Microsoft Semantic Kernel for Java! This Java library opens up new developer possibilities by seamlessly integrating AI services like OpenAI and Azure OpenAI with conventional and idiomatic programming. Now, you can create cutting-edge AI applications that combine the be...

Are you curious how you can test your designs and applications against multiple endpoints, and compare cost or performance?  Are you ready to take your prompt engineering to the next level? We are thrilled to announce an exciting new feature for Semantic Kernel Tools, the Visual Studio Code extension designed to enhance the development e...

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 completio...