This repository serves as a comprehensive guide, the "Semantic Kernel Cookbook," for individuals new to Large Language Models (LLMs) and the Semantic Kernel framework. It aims to lower the barrier to entry for traditional engineering and multi-language teams looking to integrate LLM capabilities into existing applications, focusing on practical implementation with Azure OpenAI Service.

How It Works

The cookbook provides hands-on guidance across .NET, Python, and Java implementations of Semantic Kernel. It covers foundational concepts, the use of Azure OpenAI Service, the creation and utilization of "Plugins" for prompt engineering, and the framework's "Planner" capabilities for task decomposition. A significant focus is placed on building Retrieval-Augmented Generation (RAG) applications using Semantic Kernel's embedding skills.

Quick Start & Requirements

• Install/Run: Specific commands are linked within the chapter sections (e.g., "Click" links for .NET, Python, Java samples).
• Prerequisites: Azure OpenAI Service, Semantic Kernel SDKs for .NET (v1.16.2), Python (v1.3.0), and Java (v1.2.0).
• Resources: Setup time and resource footprint will vary based on the specific samples and Azure service configuration.
• Links:
  • .NET Samples: Click
  • Python Samples: Click
  • Java Samples: Click

Highlighted Details

• Focuses on Semantic Kernel's suitability for traditional and multi-language engineering teams.
• Detailed explanation of "Plugins" for enterprise-specific prompt engineering.
• In-depth coverage of the "Planner" feature for LLM task orchestration.
• Practical guidance on building RAG applications using embeddings.

Maintenance & Community

The cookbook aims to be updated in close alignment with Semantic Kernel releases. Links to community resources like Discord/Slack are not explicitly provided in the README.

Licensing & Compatibility

The repository's licensing is not specified in the provided README text. Compatibility for commercial use or closed-source linking would depend on the underlying Semantic Kernel library licenses and any specific terms associated with Azure OpenAI Service.

Limitations & Caveats

The content is based on specific, potentially older, versions of the Semantic Kernel SDKs (.NET 1.16.2, Python 1.3.0, Java 1.2.0), and the project acknowledges that Semantic Kernel still has "many imperfections."