Microsoft.SemanticKernel.Connectors.OpenAI 1.32.0.3
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 ⚡
- 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.
Showing the top 20 packages that depend on Microsoft.SemanticKernel.Connectors.OpenAI.
| Packages | Downloads |
|---|---|
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Microsoft.KernelMemory.AI.OpenAI
Provide access to OpenAI LLM models in Kernel Memory to generate embeddings and text
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14 |
.NET 8.0
- OpenAI (>= 2.1.0.1)
- Microsoft.SemanticKernel.Core (>= 1.32.0.3)
.NET Standard 2.0
- OpenAI (>= 2.1.0.1)
- Microsoft.SemanticKernel.Core (>= 1.32.0.3)