Join us for an insightful discussion with Tomaz Bratanic, Graph ML and GenAI Research expert at Neo4j, as we dive deep into the world of GraphRAG and his newly released book "Essential GraphRAG – a practical guide to combining Knowledge Graphs with Retrieval-Augmented Generation (RAG)" (Manning Publications, co-authored with Oskar Hane).

We explore how GraphRAG enhances LLM accuracy by combining the power of knowledge graphs with retrieval-augmented generation, covering everything from vector similarity search to agentic RAG systems. Tomaz also shares his unconventional journey from professional poker player to graph researcher.

Key Topics Covered:

The importance of incorporating more than just unstructured text
Advanced retrieval strategies and Text2Cypher generation
Building knowledge graphs with LLMs and Microsoft's GraphRAG approach

Resources:

📘 Free eBook from Neo4j: https://neo4j.com/essential-graphrag/

Exploring GraphRAG with Neo4j's Tomaz Bratanic