Neo4j Blog

Welcome to this week's newsletter! Check out Tomaz Bratanic's latest blog about integrating graph databases into LLM applications. It covers using graph algorithms like PageRank to provide relevant answers and optimizing prompts for Cypher statement generation to retrieve relevant information.... read more

Predictive modeling is one of the most fundamental tasks of a data scientist, and you’ll encounter it in nearly every job and industry in the field. Keeping your knowledge and skills up-to-date is essential to driving efficiencies and revenue at your company. In this article, you'll... read more

With the immense amount of data being generated daily, organizations are drawn to advanced analytics, data science, machine learning, and AI to drive better forecasting, more accurate predictions, and truly novel innovations. But many businesses fail to reap these benefits. Instead, they... read more

Developers and data scientists, do you have a creative graph-powered project or cool graph technique? Here’s your invitation to present it at NODES 2023, the free 24-hour online conference where the community gathers to learn the latest in graph-driven innovation. This is the perfect way... read more

Welcome to the newsletter! This week, Michael Hunger graphs open-source software dependencies, an important use case within software analytics for graph databases. See the video below and read the linked blog "Analyzing Software Dependencies With deps.dev" for more information. Also in the news:... read more

At Neo4j our mission is to help the world make sense of data. Our core values, which place relationships at the foundation and employees at the heart of our operations, have guided us in this mission. Today, we are thrilled to announce that these values have led to Neo4j being recognized as a... read more