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: github.com/willvelida/kernel-...
Learn more: microsoft.github.io/kernel-me...
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Негізгі бет Ғылым және технология Getting started with Kernel Memory
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