Showing results for Category: Semantic Kernel from Semantic Kernel

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Semantic Kernel v1.0 has shipped and the contents of this blog entry is now out of date. As mentioned in the Skills to Plugins blog post, the Semantic Kernel team has been preparing the Semantic Kernel SDK for v1.0.0. Today, we're making our first big push by releasing the first release candidate: v1.0.0-beta1. This release has several breaki...

Over the past several weeks, the Semantic Kernel team has been hard at work preparing for the v1.0.0 release at the end of the calendar year. As part of this change, we wanted to complete any remaining breaking changes so developers could have a stable API moving forward. If you are interested in seeing what these changes are, you can preview the...

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...

As you build plugins and add them to planners, it's important to make sure they work as intended. This becomes more important as you add more and more plugins to your planners. With more functions, your planners have a greater chance of hallucinating and doing incorrect things. Until now, testing your plugins and planners was a manual process ...

Introduction We are EmbedElite, proud winners of the recent Semantic Kernel Plugins Hackathon. A common challenge for enterprises is the extensive effort in gathering and preparing the necessary context which isn't inherent to LLMs. Recognizing this, we at EmbedElite, set out on a mission to democratize this process, making context retrieval a mor...

This is a follow up blog post to Unlock the Power of Telemetry in Semantic Kernel SDK. We are excited to share we have added logging and metering for prompt, completion, and total tokens for each request to Azure OpenAI/Open AI using Semantic Kernel. This feature will help you monitor and optimize your API usage and costs, as well as troublesho...

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...

Large language models such as GPT4 and chatGPT have created a revolution in the way people build innovative new applications and experiences. I describe how I got started with building LLM applications and point to some resources I created in this process that I hope will help in your own exploration into this exciting area of software application ...