Essential GraphRAG to Boost GenAI Performance & Accuracy
Thursday, September 25
10:00 BST | 11:00 CEST
30 Minutes
Does your RAG implementation only give generic responses? Sounds like you need to ground your LLM in real-world information to improve RAG accuracy..
To help, Tomaž Bratanič and Oskar Hane wrote Essential GraphRAG from Manning. Bratanič is an expert in ML and LLM frameworks at Neo4j. Hane heads up our software engineering and GenAI team.
Join the authors for a 30-minute discussion about the book, which lays out how to model your data with a knowledge graph to feed an LLM much-needed context. And the result? More nuanced, complete, and relevant LLM outputs.
You’ll learn more about the main topics the book covers, such as how to:
- Combine structured and unstructured data with a knowledge graph
- Build a GraphRAG system from scratch
- Use advanced RAG techniques
- Evaluate RAG performance and accuracy
- Lay a foundation to build reliable GenAI and Agentic AI
SPEAKER
Oskar Hane
Senior Staff Software Engineer
Tomaž Bratanič
Graph ML and GenAI Research
