Neo4j Blog

Enterprises want to infuse Large Language Models (LLMs) into their mission-critical applications. However, the unpredictable nature of LLMs can lead to hallucinations – inaccurate inferences or outright errors – posing serious challenges for enterprises looking for accuracy, explainability,... read more

Welcome to this week's newsletter! Check out the blog on graph algorithms by Alison Cossette (Hot Algo Summer) with clearly explained examples and easy to follow code snippets. And there's angrykoala's end-to-end technical blog (Improving a Node.js GraphQL Server Performance) on identifying and... read more

At Neo4j, our goal is to foster an inclusive and supportive work environment, where every team member can bring their whole selves to work. As we observe Pride Month, we would like to share the experiences of two remarkable individuals who have found acceptance in our company. AJ Kincaid:... read more

Welcome to this week's newsletter! This week, you might take a look at Neo4j’s NaLLM project described in Tomaz Bratanic's blog below.  The project focuses on two primary use cases - a natural language interface to a knowledge graph and creating a knowledge graph from unstructured... read more

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