AI-agenten maken minder fouten met context uit SQL-querygeschiedenis

AI agents struggle with database accuracy when lacking proper context about data relationships. Miro's testing showed agents gave incorrect answers over 65% of the time accessing Snowflake directly, but a new DataHub tool addresses this by analyzing SQL query history to create semantic guidance for AI systems.