Retrieval-Augmented Generation (RAG) and Its Relationship to Graphs
In the ever-evolving domain of Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG) stands out as a transformative approach. By merging the power of generative models with the precision of external data retrieval, RAG unlocks new possibilities for accurate, context-aware text…