Production-Ready Agents Need A Production-Ready Data Platform
There’s a common theme to the conversations I’ve been having with AI teams lately: change. Constant, head-spinning change. Teams across industries are evaluating and re-evaluating…
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Build a Semantic Layer from GCP with Neocarta
Build a graph-based semantic layer from GCP with Neocarta Use Neocarta to easily build semantic layer graphs for your agentic applications in Neo4j Introduction Semantic layers are…
Agentic AI Architecture: How CockroachDB Supports Memory, Context, and Control
What happens when you connect a fleet of autonomous AI agents to your enterprise data stack? You quickly discover… This article first appeared on Read…
The Bill Arrives: How to Manage Agentic AI Costs at Scale
What do the Uber budget blowout, a 24x token multiplier, and context teach us about building a real business case for AI Agents in production?…
RoachFest London 2026 Preview: AI Agents and an Astronaut Walk Into a Database Conference
Cockroach Labs has been hosting our annual database conference since 2022, and I’m honored to be MCing RoachFest London for the third year running. This…
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…
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…