Building an Agentic Data Factory with Parquet, DuckDB, MCP, and Refinement Loops
This story is from 2026-09-30. It is preserved in the archive; the latest stories are on the live feed.
Giving an AI agent database credentials is easy. Giving it data it can use reliably is much harder. A typical analytical agent starts by discovering schemas, identifying tables, generating SQL, loading results into context, reconstructing business definitions, and calculating the requested metric.…
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- 2026-09-30 20:38 · DEV Community — AI
Building an Agentic Data Factory with Parquet, DuckDB, MCP, and Refinement Loops