Build a local graph of database schema objects, SQL artifacts, and relationships so agents can search, validate, analyze, and reason about database changes without storing business row data by default ...
Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.
Works with: Claude Code, Codex, Gemini CLI, Qwen CLI, Cursor, Windsurf, GitHub Copilot, Amazon Q, and any AI coding tool.