Tune in for live coverage from the AI Engineer World's Fair GraphRAG track, hosted by Neo4j, and get a front-row seat to what’s next in GenAI architecture. Discover how leading AI engineers are combining knowledge graphs with retrieval-augmented generation (RAG) to build scalable, accurate and explainable systems.

Highlights from the GraphRAG track: - GraphRAG uses knowledge graphs for structured reasoning and integrates facts to reduce hallucinations - Graph Analytics enriches data and improves retrieval/interpretation - GraphRAG outperforms vectors for complex data and powers smarter AI agents with memory/context - Learnings from building graphs\, using embeddings and employing hybrid Graph/Vector methods for practical GraphRAG

Guest: Andreas Kollegger AI Engineer World's Fair: https://www.ai.engineer/schedule

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