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
Chapters
- 00:00Welcome & Guest Introduction
- 04:51Why the Book Focuses on Implementing Tools for GraphRAG
- 07:01From Vector Search to Structured Graphs: The Power of GraphRAG
- 11:04Combining Structured & Unstructured Data for Smarter Retrieval
- 17:49Microsoft GraphRAG vs. Neo4j GraphRAG Python
- 21:06Getting Started with GraphRAG & Knowledge Graph Construction
- 28:00Importance of Evaluation & Benchmarking in GraphRAG
- 32:26Retrieval Strategies: Generic vs. Custom Tools
- 46:55Book Highlights, Access Details & Final Thoughts
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