This Week in Neo4j: NODES AI, Context, Text2Cypher, Fraud Detection and more
Blog post from Neo4j
The latest edition of "This Week in Neo4j" provides updates on advancements and events related to graph databases, focusing on the intersection of AI and graph technology. It highlights the challenges AI agents face without structured enterprise knowledge, termed the "Context Wall," and how integrating knowledge graphs can improve decision-making. The newsletter also explores Text2Cypher techniques for translating natural language into Cypher queries, promoting enhanced interaction with Neo4j databases. Additionally, it discusses how real-time graph architectures are revolutionizing fraud detection by reducing false positives and latency, and introduces upcoming events such as NODES AI, a global conference on AI and graph technology. Featured community member Shaurya Agrawal will discuss integrating Delta Lake with Neo4j for creating governed AI pipelines. The newsletter also mentions ongoing workshops and webinars aimed at enhancing skills in graph-powered AI, underscoring Neo4j's role in fostering continuous learning and innovation in the field.