Adaptive RAG Framework for Building Trustworthy AI Assistants

This prototype introduces a retrieval-augmented generation system designed to enhance AI reliability by enforcing source-based responses and eliminating speculative inference. The framework addresses a critical challenge in enterprise AI: ensuring factual accuracy while preventing hallucinations in knowledge-dependent applications.