Learn with Neo4j's New "Get to Know Graph & GenAI" Webinar Series >>
Session Track: Knowledge Graphs
Session Time:
Session description
Enterprise RAG systems face a critical choice: cloud dependency with high costs or local deployment with massive resource requirements. "This session demonstrates a production-ready Neo4j RAG system integrated with Microsoft's BitNet.cpp, achieving 87% memory reduction while maintaining enterprise performance. You'll see live demonstrations of cloud-native deployment, and hybrid search capabilities combining vector and keyword search in Neo4j. Attendees will learn practical implementation strategies, performance optimization techniques, and deployment patterns for both local and Cloud environments.
AI and Cloud Engineer for sovereignty
Matthias is a software engineer specializing in open source technologies, data sharing, and cloud computing. He is based in Berlin and is passionate about fostering open and collaborative environments that drive technological advancement.