Unlike traditional LLM-based systems that are limited by their training data, retrieval-augmented generation (RAG) improves text generation by incorporating…
Unlike traditional LLM-based systems that are limited by their training data, retrieval-augmented generation (RAG) improves text generation by incorporating relevant external information. Agentic RAG goes a step further by leveraging autonomous systems integrated with LLMs and retrieval mechanisms. This allows these systems to make decisions, adapt to changing requirements…
