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