This project aims to create an Agentic AI workflow which allows users to query a Postgres database using natural language questions. They receive answers using summarised data from the Postgres ...
it compatible with MLflow and Databricks Model Serving. This follows the same pattern as the BaseOrchestrator in src/mose_ai_assistant/agent/orchestrator.py.
Real-world enterprise text-to-SQL workflows often involve complex cloud or local data across various database systems, multiple SQL queries in various dialects, and diverse operations from data ...
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