{"slug": "connecting-the-dots-for-accurate-ai", "title": "Connecting the dots for accurate AI", "summary": "At HumanX, Neo4j CTO Philip Rathle discussed with Ryan how knowledge context enhances AI agents, arguing that a model-only approach is unsuitable for enterprises due to issues like stale training data. He explained that Graph RAG improves accuracy and reduces \"context rot\" by combining vectors with a knowledge graph, making agents more targeted and connected.", "body_md": "At HumanX, Ryan is joined by Philip Rathle, CTO at Neo4j to discuss what knowledge context means for AI agents, how limitations like stale training data make the model-only approach to agents a bad fit for enterprise environments, and how Graph RAG raises the bar for accuracy and reduces context rot by combining vectors with a knowledge graph so agents are more targeted and connected.\nNeo4j is a native graph database management system designed to handle complex, highly-connected data by focusing on relationships rather than tables. You can try it out for free on Aura and learn more at their Graph Academy.", "url": "https://wpnews.pro/news/connecting-the-dots-for-accurate-ai", "canonical_source": "https://stackoverflow.blog/2026/05/12/connecting-the-dots-for-accurate-ai/", "published_at": "2026-05-12 07:40:00+00:00", "updated_at": "2026-05-18 20:01:45.704216+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "data", "enterprise-software", "developer-tools"], "entities": ["HumanX", "Ryan", "Philip Rathle", "Neo4j", "Graph RAG", "Aura", "Graph Academy"], "alternates": {"html": "https://wpnews.pro/news/connecting-the-dots-for-accurate-ai", "markdown": "https://wpnews.pro/news/connecting-the-dots-for-accurate-ai.md", "text": "https://wpnews.pro/news/connecting-the-dots-for-accurate-ai.txt", "jsonld": "https://wpnews.pro/news/connecting-the-dots-for-accurate-ai.jsonld"}}