| Name | semantic-kernel JSON |
| Version |
1.17.1
JSON |
| download |
| home_page | None |
| Summary | Semantic Kernel Python SDK |
| upload_time | 2024-12-19 22:32:05 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | None |
| keywords |
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| requirements |
No requirements were recorded.
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No Travis.
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# 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](https://aka.ms/SK-Docs).
- Join the [Discord community](https://aka.ms/SKDiscord).
- Follow the team on [Semantic Kernel blog](https://aka.ms/sk/blog).
- Check out the [GitHub repository](https://github.com/microsoft/semantic-kernel) for the latest updates.
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