From Queries to Agents: The Next Era of Data Retrieval on PostgreSQL | POSETTE 2026
AI agents move data retrieval from single-turn RAG to multi-step tool use, but agent-generated SQL often fails retrieval.
“why 90% accuracy in text to SQL is 100% useless”
A Microsoft Azure Postgres PM explains the shift from RAG to AI agents for data retrieval on PostgreSQL, using MCP as a standardized tool-connection protocol. He highlights failure modes—hallucinated SQL, semantic misunderstanding, and missing guardrails—arguing that high text-to-SQL accuracy is useless if retrieval is wrong, and proposes context correction to build trustworthy agents.