Open-source Python-based AI SQL agent trained on your schema writing complex SQL in seconds. AI-driven BI assistant using LLMs via Retrieval-Augmented Generation. Two-step process: train RAG model on data, then ask questions returning SQL queries auto-running on database. Accuracy tied to training data volume. Database contents never sent to LLM - only schemas, documentation, queries. Model continuously improves with usage through training data augmentation.