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Aunque GenAI ofrece un enorme potencial, presenta retos como las alucinaciones y un conocimiento limitado del dominio. El GraphRAG (Graph-powered Retrieval Augmented Generation) ayuda a superar estos obstáculos al integrar la búsqueda vectorial con grafos de conocimiento y técnicas de...
Join us on May 28 to learn how to design architectures that combine LLMs, vector search, and knowledge graphs — enabling reliable, explainable AI agents.
Join Neo4j and JupiterOne on May 21 for a fireside chat on how leaders are taking a graph-based approach to strengthen cyber resilience, improve enterprise-wide visibility, and make more informed decisions with connected data.
Join us on May 7 to learn how to design AI agents that perform reliably in production. Discover practical patterns for building agent workflows and avoid common failure modes.
Join us on April 30 to learn how context graphs enable more reliable and scalable autonomous agents. Discover how Electronic Arts achieved 10× faster time-to-insight with a modern data architecture approach.
Join us on April 23 to learn how to design graph-powered RAG systems that turn retrieval prototypes into production-ready AI.
Join us on April 7 to learn how neo4j-agent-memory enables you to build context graphs that give your production AI agents persistent, graph-connected memory.
Join us for an introduction to graph-powered financial crime detection. Learn practical strategies for building a Transaction Graph to uncover coordinated fraud, trace hidden fund flows, and deliver more accurate, relationship-aware detection.
Participa en este taller virtual impartido por los expertos de Neo4j para descubrir nuevas relaciones ocultas en tus datos. Utilizando un conjunto de datos real, construiremos, paso a paso, una solución de grafos: desde el modelado de datos hasta la...
