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Check out our on-demand library of content to learn more about graph technology, get a deeper understanding of use cases, and more.
Join us on November 12 for a virtual conference dedicated to Engineering Better Intelligence. We'll explore modern applications, multi-agent workflows, and context-rich systems.
Discover how to make your data AI-ready with Neo4j’s graph platform and build next-gen AI systems that are dynamic and explainable with GraphRAG.
Build with AI by TensorFlow User Group Ghaziabad is a hands-on developer-focused event series organized in collaboration with Google for Developers, aimed at empowering developers, students, and AI enthusiasts to learn, build, and deploy real-world AI solutions using modern technologies...
Production RAG runs into the same walls: re-chunking and re-embedding on every knowledge update, embedding models that miss semantic nuance, and recursive retrieval that gets expensive fast (have you seen Claude Code?).
Join us for a hands-on introduction to Generative AI with Neo4j at 42 Berlin. Large language models are powerful — but without structure, they lose context fast.
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 at the AI Now Summit, a day to own the AI transformation journey — from strategy to scale — with those leading the way. Hear from CEOs sharing actionable strategies and, tech leaders diving deep into AI use...
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.
In this session, data scientists and engineers will build a functional GraphRAG pipeline within a live Azure environment. Moving beyond high-level theory, you will deploy Neo4j Aura and integrate it with Microsoft Foundry to implement a complete, end-to-end architecture for...
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...
