This Week in Neo4j: NODES 2024, GraphRAG, Graph Data, Knowledge Graph and more


Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases!
Have you registered for NODES 2024 yet? Next month, we kick off Road to NODES with hands-on workshops on various topics. Also this week, we integrate Microsoft’s GrahRag into Neo4j, take an in-depth look at graph databases and why they make a difference for connected data, and explore Napoleon’s history as a Knowledge Graph.

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I hope you enjoy this issue,
Alexander Erdl

 
COMING UP NEXT WEEK!

Joakim has a background in mathematics and works as a knowledge graph lead for Capgemini. He has experience running Knowledge Graph projects in the public and private sectors in Sweden and abroad.
Connect with him on LinkedIn.

GenAI can potentially revolutionise organisational decision-making, but trust in its recommendations is crucial. How can we ensure accuracy? Knowledge Graphs hold the answer. About this topic, he recently wrote a blog “Knowledge Graphs improve GenAI” together with Magnus Carlsson from Capgemini and Tomaz Bratanic from Neo4j.

Joakim Nilsson
 
NODES 2024: Road to NODES
Road to NODES is back in 2024, and we are excited to host a couple of hands-on workshops ahead of NODES 2024. Our topics in this year’s workshops range from Neo4j Fundamentals to App Building on Aura, Graph Visualisation with Neo4j Bloom to Mastering GraphRAG, which should be something for everybody!
 
GRAPHRAG: Integrating Microsoft GraphRAG into Neo4j
Microsoft’s GraphRAG implementation has gained significant attention lately. Tomaz Bratanic shows us in this post how to store the MSFT GraphRAG output into Neo4j and then set up retrievers directly from Neo4j using LangChain and LlamaIndex orchestration frameworks.
 
GRAPH DATA: Everything You Need to Know About Graph Databases & Neo4j
Martin Jurran wrote an in-depth article about graph databases, highlighting their advantages in handling complex relationships. It also outlines Neo4j’s architectural goals, including ease of use, performance, reliability, and scalability, explaining why it is a powerful tool for developers and architects dealing with connected data.
 
KNOWLEDGE GRAPH: Knowledge Graph for Napoleon History Using Neo4j
Homayoun designed a knowledge graph on Napoleon’s history to enhance LLM outputs, demonstrating how GraphRAG outperforms VectorRAG in accuracy and precision.


POST OF THE WEEK: Kalmin

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