Ontology

8. From 66% to 80% NL2SQL Accuracy: Four Measure-and-Fix Loops

After wiring up the router, I ran a 30-question benchmark and pushed NL2SQL EX (Execution Accuracy) from 66.67% to 80%. Here’s what I fixed across four cycles and where things broke.

7. When a Question Comes In, Who Decides the Routing?

The term definitions are done. But when a user asks a question, who decides whether to search the graph, write SQL, or run a vector search? Things I ran into while designing the router.

6. When You Don't Have to Build Agent Infra Yourself, Harnesses Become Obsolete. What About the Ontology?

Shortly after the Conway leak, Anthropic officially launched Claude Managed Agents. As agent infrastructure gets absorbed into platforms, here’s why DataNexus’s ontology layer remains safe.

Legal Data Gets a Brain: The Synergy of korean-law-mcp and DataNexus

korean-law-mcp streamlines legal data access while DataNexus’s knowledge-graph-based ontology layer explicitly maps complex statutory connections, significantly enhancing AI’s ability to interpret law accurately.

1. Why We're Building DataNexus

“What’s Your VIP Criteria?” This happened during a BI Agent project for a retail company. A business user was testing the Agent and asked, “Show me last month’s VIP customer revenue.” The system spit out a number, but the user didn’t look happy. “Something’s off. I think the VIP criteria are different from what our team uses.” Marketing’s VIP and CRM’s VIP were different. Same with revenue. Depending on whether you meant net revenue (순매출) or gross revenue (총매출), the difference could be hundreds of millions of won. ...