Neo4j Live: From Language to Logic – Why Graph AI Succeeds Where LLMs Fail

In this livestream, we’ll walk through a production-ready Neo4j RAG system integrated with Microsoft’s BitNet.cpp, showing how to cut memory usage by 87% while preserving the performance enterprises expect. You’ll see live demos of cloud-native deployment and hybrid search in Neo4j, combining vector similarity with keyword search to deliver more accurate, explainable results.

We’ll break down the architecture, share hands-on implementation patterns, and explore performance tuning techniques that work across local, hybrid, and cloud environments. Whether you’re building RAG pipelines today or planning your next-gen AI stack, this session offers concrete takeaways you can apply immediately.

Guest: Matthias Buchhorn-Roth

LinkedIn: https://www.linkedin.com/in/mbuchhorn/
Github: https://github.com/ma3u

#neo4j #graphdatabase #KnowledgeGraph #genai #llm