Neo4j Blog

Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! In this week's edition, we look at recent updates to the LLM Fundamentals GraphAcademy Coure, a Knowledge Graph for Nobel Prize Winners, the basics behind GraphRAG and how to predict the French... read more

Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! Attention: NODES 2024 Call for Papers closes on 15 June. With this special link you can still submit for a few more days beyond the official deadline! This edition features the Property Graph Index... read more

In a hyper-connected, data-rich world, enterprises need to understand complex relationships within large, diverse datasets. Customer interactions, for example, involve tracking behavior, preferences, and patterns across online platforms, physical stores, and social media. Organizations must... read more

Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! This month's podcast features a known face for those who follow our livestreams: Leann Chen. We also take an in-depth look at integration testing, create a Knowledge Graph in only a few lines of code and... read more

We're thrilled to announce a new integration with Snowflake that brings the full spectrum of Neo4j’s industry-leading Graph Data Science (GDS) capabilities into the Snowflake AI Data Cloud for advanced AI insights and predictive analytics. Snowflake end users seeking graph-enabled insights... read more

The generative AI market has grown by a staggering 3,600% year over year according to O’Reilly, fueling renewed demand for knowledge graphs. The technology of choice for highly connected, heterogeneous data, knowledge graphs work well for grounding large language models (LLMs). In fact,... read more