Enhancing LLM Reliability with RAG Architectures

Abstract Large Language Models (LLMs) demonstrate remarkable fluency and reasoning capabilities but remain vulnerable to hallucinations, outdated knowledge, and domain-specific inaccuracies. These reliability challenges limit their adoption in high-s...