This Week in Neo4j: Importing Data, NODES, GenAI, Going Meta and more

Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases!
In 27 episodes, we discussed knowledge graphs, semantics and more in our livestream series GoingMeta. This week, we take a look back before launching Season Two in July. Also, there is a new GraphAcademy Course for Data Importing, Tips for your talk submissions to NODES 2024, and how to do more with LLM conversations.

NODES 2024 Call for Papers is now open! Please submit your graph stories. We love to hear from you.

I hope you enjoy this issue,
Alexander Erdl


Sören is a Data Engineer with a deep passion for graphs and focuses on promoting the adoption of graph databases. His expertise spans reverse engineering, infrastructure administration, web development, and enhancing the Neo4j PHP ecosystem.
Connect with him on LinkedIn.

In the livestream “GraphGeeks Talk Ep1: Ember Nexus API, a Knowledge Graph for the Internet“, he showcases Ember Nexus, which is a dynamic and versatile REST-API that leverages the power of graphs to provide flexible and secure data storage and retrieval for data-minded people.

Sören Klein
GRAPHACADEMY: Importing Data Fundamentals
Martin O’Hanlon published a new course where you will learn to import data into Neo4j using the Neo4j Data Importer. You will create nodes, labels, relationships and properties from CSV files while setting unique IDs, constraints and indexes. You will also explore the source data and its impact on the import process and graph data model before applying your knowledge to import data into Neo4j.
NODES: 7 Tips for Submitting Your NODES 2024 Talk
Have you got your eye on NODES 2024? Developers and data scientists worldwide are preparing to share their latest graph-powered projects at this year’s free online conference. If you’d like to join them, Yolande Poirier has gathered a few tips to help you craft your presentation as the deadline to submit your talk is approaching.
GENAI: LLM Conversations
All LLM conversations are graphs. As explainability and safety become increasingly crucial in GenAI, logging conversations in a graph with the context data enables visibility about the conversations and how grounding data is used that cannot be matched by any other type of database. Daniel Bukowski uses a graph database to store grounding data and log conversations, providing unparalleled visibility into your app’s functions.
GOING META: Going Meta: Wrapping Up GraphRAG, Vectors, and Knowledge Graphs
In the 27 episodes of our Going Meta livestream series, Jesús Barrasa and I explored the many aspects of semantics, ontologies, and knowledge graphs. This blog post summarises the themes and episodes of Season 1. We are taking a short break and will return with Season 2 in July!


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