A lightweight implementation of Kernel Memory as a Service
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Updated
Nov 4, 2024 - C#
A lightweight implementation of Kernel Memory as a Service
An example that shows how to use Semantic Kernel and Kernel Memory to work with embeddings in a .NET application using SQL Server as Vector Database.
A service for automating document ingestion for Semantic Kernel's KernelMemory service
Typical RAG implementation using Semantic Kernel, Semantic Memory and Aspire
Powershell script to view kernel memory pool information
Demonstrates how to use Semantic Kernel and Kernel Memory in a polyglot notebook environment.
A Semantic kernel Plugin for microsoft/kernel-memory based from https://github.com/matthewbolanos/todo-ai-plugin
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