SQL Server connector for Semantic Kernel plugins and semantic memory
Install
| Product | Versions |
|---|---|
| .NET | |
| .NET Standard | |
| Other |
README
About Semantic Kernel
Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages. The SK extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based memory unlocking new potential and adding value to applications with AI.
Semantic Kernel incorporates cutting-edge design patterns from the latest in AI research. This enables developers to augment their applications with advanced capabilities, such as prompt engineering, prompt chaining, retrieval-augmented generation, contextual and long-term vectorized memory, embeddings, summarization, zero or few-shot learning, semantic indexing, recursive reasoning, intelligent planning, and access to external knowledge stores and proprietary data.
Getting Started âš¡
- Learn more at the documentation site.
- Join the Discord community.
- Follow the team on Semantic Kernel blog.
- Check out the GitHub repository for the latest updates.
Changes from Previous Version
Adoption Assessment
A verified publisher signal is available. Assess fit from the package's supported frameworks, license and dependency graph rather than popularity alone.
Related Guides & Workflows
Learn how to evaluate, integrate, or audit this package in your .NET project.