Why Knowledge Graphs Are Exploding in AI

YouTube Excerpt: In tWe sit down with Philip —a 13-year veteran and the CTO of Neo4j, one of the most influential companies shaping the future of graph databases, knowledge graphs, and open source AI. This conversation goes deep into the real trends that are impacting developers, AI infrastructure, and the open source ecosystem right now. We cover: 🔥 How Neo4j’s open source DNA is powering the next wave of knowledge-driven AI 🔥 Why knowledge graphs + GenAI (GraphRAG, vector ranking, memory frameworks) are becoming essential 🔥 How developers can reduce token usage by 25–97% with graph-informed RAG 🔥 Why efficiency is the #1 requirement in today’s GPU-constrained world 🔥 How standards like MCP, agent-to-agent protocols, and ISO-backed query languages will accelerate AI 🔥 Where open source is heading in the next 5 years—and why it will remain core to all AI infrastructure 🔥 Tips for developers new to knowledge graphs, RAG, and multi-model AI workflows Whether you're building RAG systems, experimenting with agents, or exploring the rapidly evolving open source landscape, this interview is packed with insights you won’t find anywhere else. 👉 Explore next-gen AI infrastructure at https://sambanova.ai/ 👉 Subscribe for more interviews and deep dives with open source + AI leaders. #OpenSource #Neo4j #KnowledgeGraphs #GraphRAG #VectorDB #AIDevelopment #AIEfficiency #RAG #GenAI #AITrends #OpenSourceAI #GraphDatabases #MachineLearning #AIAgents #SambaNova

In tWe sit down with Philip —a 13-year veteran and the CTO of Neo4j, one of the most influential companies shaping the future of graph databases,...

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