Neo4j Live: AI Engineer World’s Fair GraphRAG Track

Get a front-row seat to what’s next in GenAI architecture. We are going live from AI Engineer World’s Fair GraphRAG track to bring you the latest from the show.
AI engineers are combining knowledge graphs with retrieval-augmented generation to build scalable, accurate and explainable systems. From enterprise-grade RAG to agent memory and semantic retrieval, discover how Neo4j is enabling the next wave of intelligent, graph-powered AI.

Guest: Andreas Kollegger

AI Engineer World’s Fair: https://www.ai.engineer/schedule
@aiDotEngineer
Neo4j GenAI Ecosystem: https://development.neo4j.dev/developer/genai-ecosystem/
Zep: https://www.getzep.com/
Cognee: https://www.cognee.ai/
Ragas: https://www.ragas.io/
GraphRAG Papers: https://huggingface.co/collections/graphrag/graphrag-papers-667566a057208377a1489c82
cugraph GNN: https://github.com/rapidsai/cugraph-gnn

#neo4j #graphdatabase #genai #graphrag #knowledgegraph #aiengineering