Memgraph Media

NASA has been piloting AI to improve collaboration across the agency by combining ChatGPT-style interfaces with knowledge graphs and Memgraph’s GraphRAG techniques, making it easier for frontline teams to find context-aware information on people, skills, and projects.

Prompt engineering isn’t enough for enterprise AI. This article explains why context engineering, powered by GraphRAG and knowledge graphs, is key to building reliable, real-world AI systems.

Why hasn’t GraphRAG gone mainstream yet? Marko Budiselić, Memgraph's CTO argues that difficult, time-consuming data migration, not the technology itself, is the real blocker.

Memgraph, a leader in open-source in-memory graph databases purpose-built for dynamic, real-time enterprise applications, is releasing two new tools specifically architected to open up the power of Retrieval-Augmented Generation based on graph technology (GraphRAG), to the entire database market, democratizing GraphRAG access.

Memgraph, a leader in open-source in-memory graph databases purpose-built for dynamic, real-time enterprise applications, is releasing two new tools specifically architected to open up the power of Retrieval-Augmented Generation based on graph technology (GraphRAG), to the entire database market, democratizing GraphRAG access.

Another major issue is an LLM tool overload, which increases the risk of hallucinations and misuse, said Dominik Tomicevic, CEO of Memgraph, an open source graph database built for real-time streaming

A resilient AI stack starts with a strongly‑typed knowledge graph or GraphRAG store that can be clustered, replicated, backed up, monitored, and accessed‑controlled just like any other mission‑critical database.

Memgraph is announcing two new tools this week that it says will make RAG much easier to implement.

Memgraph, a leader in open-source in-memory graph databases purpose-built for dynamic, real-time enterprise applications, is today announcing two new tools specifically architected to open up the power of Retrieval-Augmented Generation based on graph technology (GraphRAG), to the entire database market, so democratizing GraphRAG access.

Memgraph introduced an AI Graph Toolkit and MCP Client, making it dramatically easier for organizations to port SQL and unstructured data into knowledge graphs for GraphRAG pipelines.

In-memory, graph database supplier Memgraph has announced “two new tools specifically architected to open up the power of Retrieval-Augmented Generation based on graph technology (GraphRAG)

Breaks down why pairing SLMs with live, contextual knowledge graphs offers a smarter and more scalable GenAI strategy for modern enterprises.

Memgraph announced two new tools, architected to open up the power of Retrieval-Augmented Generation based on graph technology (GraphRAG) to the entire database market and democratize GraphRAG access.

Memgraph has been updated with the addition of two new tools; an AI Graph Toolkit that automates the porting of data into a knowledge graph in Memgraph; and an MCP Client within Memgraph Lab.

As we look to 2026, we can expect strong interest from builders of practical AI chatbots and enterprise LLMs in using the Model Context Protocol (MCP) as a standard for connecting to external data sources, along with growing momentum behind GraphRAG...

Bigger isn’t always better for AI. Learn how small language models, orchestrated with knowledge graphs, can outperform LLMs in enterprise settings.

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

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

Explores how combining small language models with Memgraph’s graph database delivers clearer context.

A look at why LLMs alone cannot meet the demands of real-time enterprise applications.

Learn how NASA uses Memgraph’s graph database alongside LLMs to better understand and plan its workforce.

Traditional defences miss the bigger picture. This article explores how graph databases give cybersecurity teams a connected view of systems to detect threats faster and stop attacks.

Examines practical ways security teams can use GraphRAG to deliver real-time context to LLMs for better threat detection and response.

Explores combining GraphRAG, LLMs, and knowledge graphs enhances threat detection and response by delivering real-time, context-rich insights.

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

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

An exploration of the indispensable role of graph technology in enabling successful, practical Generative AI applications for complex real-world implementations.

Insightful look into how AI combined with graph technology can significantly improve the safety and accuracy of medical prescriptions.