NODES 2025 - Revolutionizing Platform Engineering with AI Agents and GraphRAG

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9 learners

What you'll learn

This course includes

51.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

neo4j graph databases graphs LLM retrieval augmented generation RAG vector database vector search GenAI AI Artificial intelligence nodes25

Full Transcript

As cloud infrastructure becomes increasingly complex, developers and platform engineers face growing challenges in navigating interconnected systems, diagnosing issues quickly, and managing DevOps workflows effectively. In this session, learn how Outshift by Cisco developed an internal AI platform engineer powered by Neo4j and a GraphRAG framework to address these challenges. Join Shubham as he demonstrates how AI agents dynamically inject and connect data from diverse systems—such as AWS, Kubernetes, Backstage, and more—into a Neo4j graph database. Discover how this cutting-edge approach enhances developer productivity, reduces Mean-Time-to-Detect (MTTD) during incidents, accelerates access to critical insights, and drives operational efficiency in today’s dynamic and fast-paced cloud environments. Speaker: Shubham Bakshi Resources: Get Started with Aura - https://bit.ly/3LOLrjh Deployment Center - https://bit.ly/4jOelM3 Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph