NODES 2025 - Leveraging Knowledge Graphs and LLMs to Document Large Scale Codebases

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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

Large-scale codebases, comprising thousands to millions of lines of code, pose significant challenges for maintaining accurate and up-to-date documentation. To address this issue, Lockheed Martin is leveraging Knowledge Graphs and Generative AI to automate software architecture documentation, reducing errors and improving maintainability. Thomas Orth, a Senior AI Research Engineer at Lockheed, will walkthrough the team's process, lessons learned and future work. Speaker: Thomas Orth 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