Neo4j Blog

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

AI is no longer just a breakthrough technology with tons of potential. It’s helping companies automate complex systems, improve their decision-making, reduce expenses, and make processes safer, fairer, and better able to operate at scale. Business use of AI has become integral across... read more

Supply chain software is at the heart of modern logistics, helping businesses tackle the growing complexities, inefficiencies, and rising supply chain management costs. With 55% of supply chain leaders increasing investments in technology and 88% planning to spend over $1 million—42% of whom... read more

Discover how Neo4j’s graph technology integrates with AWS to tackle fraud with advanced pattern recognition, reducing false positives and transforming financial security. In the ever-evolving area of covering fraud false positives and negatives, we recently published Neo4j AWS architecture... read more

Generative artificial intelligence (GenAI) has taken the business world by storm. According to McKinsey, 65% of organizations are regularly using it. Its advancements are improving use cases in fraud detection, drug discovery, product development, supply chain improvement, customer support,... read more