Prompt Based Interface for KOIOS Master Data

The goal is to build a prompt-based interface for the Koios service that allows users to submit concepts and preferred terms, which are validated against authoritative sources, stored in an SQL database, and represented in knowledge graphs for enhanced querying and reasoning. The system will leverage best practices from platforms like Lovable (beginner-friendly, AI-driven prototyping) and Bolt (developer-focused, full-stack support) to ensure usability and scalability.The solution includes:Prompt-Based Interface: A user-friendly UI where users can input concepts and terms, with AI assistance to refine and validate submissions.
SQL Database Integration: A structured schema to store the concept dictionary, ensuring persistence and efficient querying.
Knowledge Graph Storage: A graph database (e.g., Neo4j) to represent relationships between concepts, enabling semantic queries and reasoning.
Authoritative Source Validation: An AI-driven validation layer to cross-reference user inputs with authoritative sources.
Scalable Backend: A robust tech stack to handle user prompts, database operations, and graph updates.