Every system needs to be able to add AI to its workflow to empower the users to complete their task much faster. The Semantic Kernel team and community have been working hard to create a Java based kernel to support Java developers to unleash AI into their apps. We will review the following concepts with examples: Kernel and use of Inline Function, Plugins and Functions loaded from directory, Plugins and Functions as pipeline, Giving memory to LLM, using local volatile memory and Azure Cognitive Search. All the examples are on GitHub: https://github.com/sohamda/SemanticKernel-Basics Step #1: Create a Kernel, Step #2: Add a Fu
