GraphRAG in Practice: Building Reliable GenAI Applications with Knowledge Graphs
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by Henry Collie, Technical Curriculum Developer, Neo4j
Generative AI (GenAI) opens up tremendous opportunities… yet it still faces major challenges: hallucinations, lack of business context, limited explainability, and governance concerns.
What if you could overcome these limitations?
In this hands-on workshop, discover how GraphRAG combines vector search, knowledge graphs, and graph data science techniques to enrich context, enhance semantic understanding, and ensure data remains up to date.
The result: more reliable, relevant, and personalized GenAI applications.
Agenda:
- A clear introduction to the current limitations of GenAI
- A deep dive into the GraphRAG approach and its practical benefits
- Step-by-step guided code examples to connect GenAI with graph technologies
- Immediate hands-on practice, directly applicable to your own projects
By the end of the workshop, you will leave with concrete, actionable skills to design robust, context-aware GenAI applications.