You’ll learn the fundamentals of GenAI, explore how Neo4j and knowledge graphs enhance AI-driven applications, and see how GraphRAG improves accuracy and explainability over standard RAG. Through practical exercises, you’ll build your own conversational agent using Neo4j, Python, and LangChain. ...
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 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 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 28 to learn how to design architectures that combine LLMs, vector search, and knowledge graphs — enabling reliable, explainable AI agents.
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 us on May 28 to learn how to design architectures that combine LLMs, vector search, and knowledge graphs — enabling reliable, explainable AI agents.
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...
Sebbene la GenAI offra un enorme potenziale, presenta sfide come allucinazioni e conoscenza limitata del dominio. Il Graph-powered Retrieval Augmented Generation (GraphRAG) aiuta a superare questi ostacoli integrando la ricerca vettoriale con i knowledge graph e le tecniche di data...
