Microsoft.SemanticKernel.Connectors.InMemory 1.58.0-preview
VectorData Implementations by Semantic Kernel
Microsoft.Extensions.VectorData.Abstractions provides abstractions for accessing Vector Databases and Vector Indexes. It includes base abstract classes and interfaces for Vector Database implementations.
Semantic Kernel (SK) is a lightweight SDK allowing integration of AI experiences into your application.
Semantic Kernel (SK) provides a set of implementations for the Microsoft.Extensions.VectorData.Abstractions interfaces, allowing developers to easily connect to various vector databases. This package is one of these implementations.
This package can be used with Semantic Kernel or independently and does not depend on any Semantic Kernel abstractions or core libraries.
Getting Started ⚡
- Learn more about using the VectorData abstractions and implementations at the documentation site.
- Learn more about Semantic Kernel at the documentation site.
- Join the Discord community.
- Follow the team on Semantic Kernel blog.
- Check out the GitHub repository for the latest updates.
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.NET Framework 4.6.2
- Microsoft.Extensions.VectorData.Abstractions (>= 9.6.0)
- Microsoft.Extensions.AI.Abstractions (>= 9.5.0)
- Microsoft.Extensions.DependencyInjection.Abstractions (>= 9.0.5)
- System.Numerics.Tensors (>= 9.0.0)
.NET 8.0
- Microsoft.Extensions.VectorData.Abstractions (>= 9.6.0)
- Microsoft.Extensions.AI.Abstractions (>= 9.5.0)
- Microsoft.Extensions.DependencyInjection.Abstractions (>= 9.0.5)
- System.Numerics.Tensors (>= 9.0.0)
.NET Standard 2.0
- Microsoft.Extensions.VectorData.Abstractions (>= 9.6.0)
- Microsoft.Extensions.AI.Abstractions (>= 9.5.0)
- Microsoft.Extensions.DependencyInjection.Abstractions (>= 9.0.5)
- System.Numerics.Tensors (>= 9.0.0)