Neo4j Events

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...

In this hands-on workshop, discover how GraphRAG combines vector search, knowledge graphs, and graph data science techniques to enrich context, enhance semantic understanding, and ensure data remains up to date.

Season 03 Episode 9 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI

Start the GenAI fundamentals course Improve LLM accuracy with knowledge graphs and GraphRAG Learn how to build more reliable and accurate AI applications by grounding LLMs in connected data. In this hands-on session, you will: Understand how knowledge graphs improve...

Join us for the first installment of the Jumping Rivers AI in Production conference! Hosted in the centre of Newcastle Upon Tyne, UK, this conference will delve into the world of AI and Machine Learning.

On June 4, we’ll share how to design stateful, production-ready agents by integrating context graphs and persistent memory.

On June 4, we’ll share how to design stateful, production-ready agents by integrating context graphs and persistent memory.