Tutorials
Welcome to the Tutorials Section
This section contains step-by-step guides to help you work with Knowledge Graphs (KGs), Large Language Models (LLMs), and various tools like Virtuoso, Apache Jena, and LlamaIndex.
Unlike the Guidelines section, which provides general best practices and configurations, the Tutorials focus on hands-on implementation with code examples, setup instructions, and real-world applications.
What You’ll Find Here
- Practical Use Cases: Learn how to integrate LLMs with Knowledge Graphs.
- Code Samples: Copy, modify, and run working code for various applications.
- Step-by-Step Instructions: Detailed setup guides for different tools.
- Troubleshooting Tips: Common issues and solutions for smoother implementation.
Available Tutorials
-
Querying Knowledge Graphs with LLMs
Learn how to use an LLM (Llama or OpenAI) to query a Virtuoso knowledge graph with natural language. -
Extracting Knowledge Graph Triples from Text
Discover how to extract structured (subject, predicate, object) triples from unstructured text using an LLM.
Who Is This For?
These tutorials are designed for researchers, developers, and engineers who want to:
- Work with Knowledge Graphs using Virtuoso and Apache Jena
- Leverage LLMs for extracting and querying structured data
- Implement practical AI-driven applications with open-source and proprietary tools
How to Use This Section
- Follow each tutorial in order, or jump to the one you need.
- Copy the provided code and modify it to fit your project.
- Refer to the guidelines for best practices and additional context.
Need Help?
If you encounter any issues or have suggestions for new tutorials, feel free to contribute or reach out.
Start exploring the tutorials now.
