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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

Видео Getting started with Kernel Memory канала Will Velida
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