Neo4j Live: Essential GraphRAG

RAG is powerful, but only when the right context fuels it. Join us in this livestream as we sit down with Tomaz Bratanic, author of the book "Essential GraphRAG", to explore how knowledge graphs can elevate your Retrieval-Augmented Generation (RAG) systems - from basic retrieval to breakthrough reasoning. We will discuss how to: - Build a GraphRAG system from scratch - Construct and query knowledge graphs with Cypher - Evaluate and tune your pipeline for performance and traceability - Use LLMs to extract structure from unstructured data - Design Agentic RAG systems that reason and act on graph-based context Book: https://bit.ly/46UTrrw Get 50% off the printed edition with code "PBBratanic3" from @ManningPublications https://www.manning.com/books/essential-graphrag GraphRAG Learning Path: https://bit.ly/4o0En1E Guest: Tomaz Bratanic https://www.linkedin.com/in/tomaz-bratanic-a58891127/ Blog: https://medium.com/@bratanic-tomaz 0:00 – Welcome & Guest Introduction 4:51 – Why the Book Focuses on Implementing Tools for GraphRAG 7:01 – From Vector Search to Structured Graphs: The Power of GraphRAG 11:04 – Combining Structured & Unstructured Data for Smarter Retrieval 17:49 – Microsoft GraphRAG vs. Neo4j GraphRAG Python 21:06 – Getting Started with GraphRAG & Knowledge Graph Construction 28:00 – Importance of Evaluation & Benchmarking in GraphRAG 32:26 – Retrieval Strategies: Generic vs. Custom Tools 46:55 – Book Highlights, Access Details & Final Thoughts #neo4j #graphdatabase #genai #graphrag #llm #knowledgegraph