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Join us on Nov 6 for the biggest graph community gathering dedicated to graph-powered apps, knowledge, and AI!
140+ sessions | 24 hours | Free
Attend one of these 30-minute introductory webinars to learn the basics of graph and how to start building powerful applications at speed.
How can we use graphs and AI to bring transparency to politics? In this live session, we’ll dive into Valkompass.ai – an open-source project that uses Neo4j and Gemini to connect and analyze political data from Sweden’s parties. From election...
Join us for an exclusive Neo4j GraphTalk event in San Diego! Explore how graph technology is reshaping industries and see firsthand the innovative applications that are driving transformation in operations and decision-making across businesses. Additionally, you will gain valuable insights...
Building your own Knowledge Graph – Irina Loghin | Developer Relations, Neo4j In this talk, you will learn about GraphRAG, a technique that combines graph databases with generative AI to improve the quality of LLM-generated content. We will explore the...
Building your own Knowledge Graph Session Description In this talk, you will learn about GraphRAG, a technique that combines graph databases with generative AI to improve the quality of LLM-generated content. We will explore the terms Retrieval-Augmented Generation (RAG) and...
GraphTalk Milan è un evento imperdibile per gli appassionati di grafi, i professionisti dei dati e dell’intelligenza artificiale. Questo evento riunisce la community Neo4j per presentazioni stimolanti, dimostrazioni concrete e scambi peer-to-peer. In programma: casi d’uso innovativi, best practice nella...
Join us at American Automotive Summit at the MGM Grand Detroit. Visit Neo4j at booth #5 for tips on combining knowledge graphs, RAG, and graph data science into GraphRAG to build accurate, explainable GenAI applications.
Get the details on an easier, more reliable path to Agentic AI. Save a spot to find out how to easily build production-grade agents.
This hands-on workshop shows you how to build smarter AI agents: ones that don’t lose context. You’ll use Neo4j’s Model Context Protocol (MCP) to give your agents persistent, graph-based memory, allowing for richer, multi-turn interactions and intelligent behavior grounded in...
At Riverty, we’re changing that. We’ve parsed ~300 of our 1,500 repositories into a knowledge graph that gives LLMs the context they need to actually understand our systems. On top of it, we’re building smart agents that use this graph...
