Quantum Data
Link to open source: https://github.com/Cyb4819/Intelligent-Data-Dictionary-Agent.git
The Data Dictionary Project is a full-stack platform that automatically generates AI-enhanced documentation for enterprise databases such as PostgreSQL and MySQL Server. It extracts detailed schema metadata, including tables, columns, constraints, and relationships, and performs intelligent data quality analysis to measure completeness, freshness, key integrity, and statistical distributions. This enables deeper insights into data structure, consistency, and potential anomalies.
Leveraging AI-powered summarization through Groq integration, the platform converts raw technical metadata into clear, business-friendly descriptions, usage recommendations, and contextual insights. Generated documentation can be exported in structured formats such as JSON and Markdown, supporting governance, auditing, and cross-team collaboration.
The backend is powered by Spring Boot, ensuring scalable and secure API services, while the frontend is built with Next.js for a modern, interactive user experience. A conversational chat interface allows users to explore schemas, generate SQL suggestions, and retrieve insights using natural language, making database documentation dynamic, accessible, and continuously up to date.
Moreover, it will be allowing users to not only query but also modify schema and data via intuitive prompts.
This build was uploaded as a hackathon project
