SQLAlchemy

LLM Agent Document Reference System: Architected a comprehensive local database system using SQLAlchemy ORM that stores court case documents and legal resources for LLM agent reference at TAMU x Soft Interaction Lab. The challenge involved creating a database structure that allows LLM agents to efficiently access and reference the correct documents when making decisions about legal scenarios. Successfully implemented object mapping that ensures proper document organization and retrieval, enabling LLM agents to provide more accurate and contextually appropriate responses based on stored case law and legal precedents.

Flask-WebSocket-SQLAlchemy Integration: Developed a sophisticated integration system that connects SQLAlchemy local storage with Flask applications and WebSocket functionality for real-time data access. The challenge required ensuring that database operations could be performed seamlessly while maintaining WebSocket connections for live updates. Successfully created an architecture that allows real-time synchronization between local database storage and connected clients, providing immediate access to document updates and LLM reference materials.

Privacy-Compliant Local Storage Architecture: Designed and implemented a secure local storage solution using SQLAlchemy that meets strict privacy requirements for departmental partnerships. The challenge involved creating a database system that keeps sensitive court case documents completely private and secure while still allowing efficient access for research purposes. Successfully developed a local-first approach that eliminates external data sharing risks while maintaining full functionality for LLM agent training and reference applications.

Cost-Effective Cloud Alternative Implementation: Created a local storage solution using SQLAlchemy that significantly reduces costs compared to traditional cloud service providers while maintaining professional-grade functionality. The solution demonstrates how local database architecture can provide the same capabilities as expensive cloud services, offering a sustainable approach for research applications with limited budgets.