This is the repository for the LinkedIn Learning course Knowledge Graphs for Generative AI Use Cases. The full course is available from LinkedIn Learning.
Having a knowledge graph backing your LLM adds more consistency, trust, and quality to LLMs and the applications they support, and you don’t have to be an expert to begin using knowledge graphs. In this course, knowledge graph expert Ashleigh Faith covers what a knowledge graph is, the different types of knowledge graphs, and what each type is generally used for. Explore the foundations of modeling and populating a knowledge graph and architectures for supporting knowledge graphs. Learn how to query the knowledge graph and how LLMs can use knowledge graphs to support time-sensitive data and reduce hallucinations. Find out how to identify what kind of knowledge graph is best for a variety of knowledge graph use cases, as well as what architecture and tooling will best support your knowledge graph project. Plus, discover ways to construct and populate a knowledge graph and then use a knowledge graph in the LLM space.
See the readme file in the main branch for updated instructions and information.
This repository has files that relate to certain videos in the course.
- To use these exercise files, you must have the following installed:
- Clone this repository into your local machine using the terminal (Mac), CMD (Windows), or a GUI tool like SourceTree.
- Once the repo is cloned, you can open the RDF files in Protege and the markdown files either in native git or in your favorite tool to view the code.
Ashleigh Faith
Knowledge Graph, Semantic Search, and MLAI
Check out my other courses on LinkedIn Learning.