This Week in Neo4j: GraphAware, Architecture, Knowledge Graph, AI Agents and more
Welcome to This Week in Neo4j, your fix for news from the world of graph databases! Neo4j is acquiring GraphAware – friends and fellow graph…
Read MoreThis Week in Neo4j: GraphAware, Architecture, Knowledge Graph, AI Agents and more
What Breaks When Agentic AI Reaches Production?
Most enterprise AI teams have built an agent that was impressive; far fewer have shipped one without a production incident that made someone question the…
Agentic Supplier Management with MongoDB Atlas, Voyage AI, and Multi-Modal Search
Retail supply chains are not a back-office logistics function; they are a high-stakes, board-level concern. Imagine learning suddenly that shipment rerouting surcharges have doubled due…
1 of 3: The Difference Between a Graph, a Knowledge Graph, and a Context Graph
This is part 1 of a three-part series on the evolution from graphs to knowledge graphs to context graphs and why connected data is becoming…
2 of 3: Why Graphs, Knowledge Graphs, and Context Graphs Matter to Customers
This is part 2 of a three-part series on the evolution from graphs to knowledge graphs to context graphs and why connected data is becoming…
3 of 3: The Graph Ecosystem: Bringing Connected Context to Enterprise AI
This is part 3 of a three-part series on the evolution from graphs to knowledge graphs to context graphs and why connected data is becoming…
Welcome, GraphAware
I’m so excited today to announce that Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.…
Digital twins that learn: connected asset intelligence with Neo4j and Databricks
Manufacturing plants are instrumented better than ever, producing sensor data at a scale that was unimaginable a decade ago. Yet when something fails, engineers still…
Building retail assistants customers can trust with Databricks and Neo4j
Retail AI does not earn trust by sounding conversational. It earns trust by remembering context, understanding product relationships, checking live business data, and grounding answers…
Fraud rings hide in the connections: Graph-Enriched Detection for Databricks Genie with Neo4j
INTERPOL’s 2026 Global Financial Fraud Threat Assessment puts global fraud losses at $442 billion in 2025, with financial fraud now ranked among the top five…
Supply chains don’t fail at the node. They fail at the connection.
Global supply chains have never been more exposed. Tariff shifts, geopolitical disruptions, and pandemic-era shortages have revealed a structural problem that most organizations already suspected…
Context graphs: Why AI agents need three types of memory
The transition from simple chatbots to truly autonomous systems represents the next significant evolutionary step in the field. We’re moving beyond the era of the…
Introducing Document Intelligence: From documents to a knowledge graph, right inside Aura
Over the past few quarters, we have seen agentic workflows move from experimentation to production across the enterprise. Increasingly, customers bring us the same requirement:…
How to Choose a Database for an AI-Powered Product
Organizations across fintech, healthcare, retail, gaming, SaaS, and scores more verticals are embedding AI into business-critical offerings. This article first appeared on Read More
Introducing Neo4j Virtual Graph: Graph reasoning on the data you already have
Over the past few quarters, we’ve seen tremendous growth in enterprise adoption of agentic workflows. Large enterprises are realizing that GraphRAG delivers more accurate results…