Getting started with Kernel Memory

Kernel Memory is a multi-modal AI service that enables efficient indexing of datasets through custom data pipelines. It supports RAG, synthetic memory, prompt engineering, and custom semantic memory processing. This video is a gentle introduction to Kernel Memory, and how we can run it in both Serverless and as a Web Service to index data, and use natural language queries to obtain answers from indexed data! 0:00 Introduction 1:22 Difference between Kernel Memory and Semantic Memory 2:46 Serverless mode 3:57 Kernel Memory Web Service 5:25 Demo - Running Kernel Memory in Serverless Mode 15:26 Demo - Running Kernel Memory in a Web Service 27:05 Wrap up Get the code for this video: https://github.com/willvelida/kernel-memory-series/tree/main/IntroductionToKernelMemory Learn more: https://microsoft.github.io/kernel-memory/ Connect with me! Twitter: https://twitter.com/willvelida GitHub: https://github.com/willvelida Bluesky: https://bsky.app/profile/willvelida.bsky.social