This Week in Neo4j: NODES 2024, Data Import, GenAI, Spring Data and more


Welcome to This Week in Neo4j, your fix for news from the world of graph databases!
In this issue, we are looking at NODES 2024 again with an overview of the top-rated sessions. Also, this week, we have a significant new import capability in Neo4j Aura; look at the synergies between Generative AI and Neo4j and feature our newest GraphAcademy Course, “Building Neo4j Applications With Spring Data”.

Neo4j Developer Survey – Your voice matters! By filling out the Neo4j Developer Survey 2024, you’re helping us create better tools for everyone in the community.

I hope you enjoy this issue,
Alexander Erdl

 
COMING UP NEXT!

Radu has over 25 years of experience ranging from developer to architect to research and development in large enterprises and startups. Radu is keenly interested in GenAI and knowledge graphs.
Connect with him on LinkedIn.

In his session at NODES 2024 “TrainSim: A GenAI Restaurant Server Training and Customer Simulation ChatBot”, together with Daniel Marian they build a Restaurant Server Training and Customer Simulation ChatBot using LangChain and Neo4j RAG to extract menu details, generate Q&A scenarios, and enhance server preparation through interactive, truth-grounded simulations.

Radu Marian
 
NODES 2024: The 10 Top-Rated Talks at NODES 2024
No matter if you spoke or attended NODES 2024. Thank you again for being part of it! In this article, Yolande Poirier collected the top 10 sessions from NODES last month.
 
DATA IMPORT: Announcing New Aura Import Services
We’re pleased to announce the launch of a significant new import capability in Neo4j Aura. Our new import service lets you connect to existing data sources, define a graph data model, and initiate a corresponding import job. Greg King gives you an overview of importing data from PostgreSQL, MySQL and SQL Server without requiring code to move it into Neo4j.
 
GENERATIVE AI: How Neo4j and Generative AI Work Together
Sanjeewa Rathnayake explores how integrating Neo4j’s graph database capabilities with generative AI enhances data relationships and insights. This synergy enables more sophisticated data analysis and informed decision-making across various applications.
 
GRAPHACADEMY: Building Neo4j Applications With Spring Data
Are you a Java developer? Do you want to integrate graphs and Neo4j into your applications? Building Neo4j Applications with Spring Data teaches you to map a graph data model to a Java application domain model, convert between Neo4j and Java data types, read and write data, and use custom Cypher statements.


POST OF THE WEEK: orangedev

ive been modeling the bluesky ecosystem using a graph database, website in the works!

[image or embed]

— orangedev.bsky.social (@orangedev.bsky.social) 16. November 2024 um 08:25

Please share it if you like it!