Neo4j Live: Essential GraphRAG
Chapters 9
- Play from Welcome & Guest Introduction
- Play from Why the Book Focuses on Implementing Tools for GraphRAG
- Play from From Vector Search to Structured Graphs: The Power of GraphRAG
- Play from Combining Structured & Unstructured Data for Smarter Retrieval
- Play from Microsoft GraphRAG vs. Neo4j GraphRAG Python
- Play from Getting Started with GraphRAG & Knowledge Graph Construction
- Play from Importance of Evaluation & Benchmarking in GraphRAG
- Play from Retrieval Strategies: Generic vs. Custom Tools
- Play from Book Highlights, Access Details & Final Thoughts
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
Get 50% off the printed edition with code "PBBratanic3" from @ManningPublications
Guest: Tomaz Bratanic
Resources mentioned
GenAI & GraphRAGKnowledge graphs
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