Details
AIDA accepts natural language queries, translates them into SQL using a large language model (LLM), executes those queries against configured data sources, and returns answers as summaries, charts, or data grids. It uses a ReAct (reason–act–observe) framework that iterates across live data samples and schema metadata to construct validated answers — going beyond simple text-to-SQL translation. Responses are tailored by user role (persona-specific): business leaders receive concise summaries while data engineers receive technical detail. Within the Starburst Enterprise Platform, AIDA supports multiple LLMs including models from Anthropic, OpenAI, and AWS Bedrock.
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