Retrieval-Augmented Generation

Retrieval-Augmented Generation has become one of the most powerful building blocks in modern enterprise NLP systems. Instead of relying only on parametric memory, it retrieves relevant documents or passages to support generation. This provides major advantages in scenarios requiring knowledge freshness, source grounding, and domain-specific accuracy.