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Learn practical graph design patterns and retrieval strategies to build more effective GenAI applications through this comprehensive workshop on knowledge graphs and GraphRAG techniques. Discover how to overcome common GenAI challenges like hallucination and lack of domain knowledge by integrating vector search with knowledge graphs and data science techniques to improve context, semantic understanding, and personalization while enabling real-time updates. Follow along with hands-on Jupyter notebooks in Google Colab as you explore detailed coded examples that demonstrate graph-powered retrieval augmented generation methods. Master the integration of traditional RAG approaches with knowledge graph structures to create more robust and contextually aware AI systems. Gain practical skills through interactive coding exercises that you can immediately apply to your own GenAI projects, with provided OpenAI API access for those who need it. Recorded live at the AI Engineer World's Fair in San Francisco, this workshop requires bringing a laptop, having a Google account for Colab access, and preferably an OpenAI API key for full participation in the hands-on exercises.
