A lightweight implementation of Kernel Memory as a Service
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Updated
May 23, 2024 - C#
A lightweight implementation of Kernel Memory as a Service
Microsoft Semantic Kernel Assistants This enables the usage of assistants for the Semantic Kernel. It provides different scenarios for the usage of assistants such as: Assistant with Semantic Kernel plugins Multi-Assistant conversation
C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
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.
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A sample for implementing retrieval augmented generation using Azure Open AI to generate embeddings, Azure Cosmos DB for MongoDB vCore to perform vector search, and semantic kernel.
Artificial Intelligence Services
Some experiments around AI to learn.
Discover a world of stories at your fingertips
A console application demonstrating how to create a copilot using Semantic Kernel and its various features
Example how to implement a question & answer flow using semantic search with OpenAI - by using C# & Semantic Kernel
How a Picture of Car Damage Can File Your Insurance Claim
Build your custom AI Solution integrating Semantic Kernel into your Azure Container Apps.
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