This demo showcases my implementation of Contextual Retrieval-Augmented Generation (RAG), a sophisticated approach to preventing AI hallucination while ensuring accurate information retrieval.

Unlike traditional RAG systems that might struggle with large document sets, this implementation uses contextual parsing to precisely locate and retrieve relevant information, demonstrating my expertise in:

• Custom LLM framework development for precise information retrieval
• Structured data parsing and context-aware search mechanisms
• Integration of AI systems with structured databases for reliable information access

The system demonstrates my ability to develop AI solutions that prioritize accuracy and reliability - crucial skills I've applied in projects like REMEDIUM USA's medical diagnostic system and NEON VIXXEN's character engine.