Neo4j Blog

Scaling laws may plateau, yet the promise of GenAI is undiminished. Engineers everywhere have been busy figuring out what works and how to make it useful. GraphRAG, a combination of knowledge graphs and retrieval-augmented generation (RAG), has evolved into a range of techniques, with a growing... read more

Welcome to This Week in Neo4j, your fix for news from the world of graph databases! We are back this week after a longer break due to NODES 2024. Speaking of which, Have you watched any sessions? Did you see Ben Lorica's Keynote "Tracking the Pulse of Generative AI"? Besides NODES, we... read more

We’re thrilled to share that Neo4j was recognized as a Strong Performer in The Forrester Wave™: Vector Databases, Q3 2024. “We haven’t witnessed this level of excitement in the database landscape in decades,” the Forrester report notes, explaining that databases with integrated... read more

  Read-heavy applications require exceptional database performance, which is why we’re excited to announce the general availability of Secondaries on AuraDB Virtual Dedicated Cloud. Secondaries are read-only copies of your AuraDB database, and they significantly increase maximum... read more

The GraphRAG Python package from Neo4j provides end-to-end workflows that take you from unstructured data to knowledge graph creation, knowledge graph retrieval, and full GraphRAG pipelines in one place. Whether you're using Python to build knowledge assistants, search APIs, chatbots, or report... read more

Modern supply chains span vast networks, and today’s leaders prioritize resilience, agility, and sustainability. They also recognize that in an increasingly competitive environment, a data-driven approach to supply chain management (SCM) is essential. In fact, by 2027, 65% of supply chain... read more