Model Releases
Data agents don't fail at writing SQL. They fail at knowing your business. Schemas show you the columns, but they don't tell you which view …
Data agents don't fail at writing SQL. They fail at knowing your business. Schemas show you the columns, but they don't tell you which view is canonical for ARR, how often each metric updates, or whic
Data agents don't fail at writing SQL. They fail at knowing your business. Schemas show you the columns, but they don't tell you which view is canonical for ARR, how often each metric updates, or which month you changed the pricing. That sits in dbt code, Slack threads, analyst memory, and old Notion pages. Staff Data Engineer, Simon Lu built AskData, our internal data agent, on Pinecone Nexus earlier this year. Since then it's answered 3,690 questions and lets the team actually explore data instead of wrestling with dashboards. Token consumption dropped 92% compared to pointing Claude/Cursor directly at internal sources — and 38% vs. our previous custom implementation. Full write-up + a side-by-side demo you can run yourself: https://www.pinecone.io/blog/inside-askdata/
Source: Pinecone (X) | 2026-06-02