Memgraph Media
Discover stories, interviews, and media coverage featuring Memgraph.

GraphRAG, LLMs, and Knowledge Graphs: A Cybersecurity Power Trio
Explores combining GraphRAG, LLMs, and knowledge graphs enhances threat detection and response by delivering real-time, context-rich insights.

Can NASA’s People Graph and LLMs Revolutionize Workforce Planning?
Learn how NASA uses Memgraph’s graph database alongside LLMs to better understand and plan its workforce.

Unlocking AI’s Power In Cybersecurity
Examines practical ways security teams can use GraphRAG to deliver real-time context to LLMs for better threat detection and response.

How Is AI Making Prescriptions Smarter
Examines how knowledge graphs and AI work together to improve treatment safety, patient insight, and real-time decision-making in diabetes care.

How Memgraph Helps Prevent LLM Misuse
Memgraph's CEO, Dominik Tomicevic, shares practical insights on how organizations can keep LLM-powered systems trustworthy with the help of graph databases.

Memgraph 3.0 Streamlines The Creation of AI Solutions
Discover how Memgraph 3.0 is designed to simplify and speed up the creation of production-ready AI applications, enhancing developer efficiency.

NASA jettisons Neo4j database for Memgraph citing costs
The Register reports on NASA’s move to Memgraph’s graph database, citing cost savings and performance benefits.

Without Graph Tech’s Help, Advances in GenAI Aren’t Enough for Real-world Projects
An exploration of the indispensable role of graph technology in enabling successful, practical Generative AI applications for complex real-world implementations.

The AI Doctor Can’t Treat You Yet, But They Can Make Prescriptions Safer
Insightful look into how AI combined with graph technology can significantly improve the safety and accuracy of medical prescriptions.

Why LLMs aren’t enough for real-world, real-time projects
A look at why LLMs alone cannot meet the demands of real-time enterprise applications.

Memgraph: The SLM-knowledge graph combo
Explores how combining small language models with Memgraph’s graph database delivers clearer context.