Retrieval-Augmented Generation (RAG): The Search‑Enhanced AI Revolution in Chatbots and Enterprise Applications
RAG, or Retrieval-Augmented Generation, combines large language models with search engines or databases to provide up-to-date, source-backed answers. By 2025, major tech firms including OpenAI, Microsoft, Google, and Amazon offer RAG solutions. Systems like Mayo Clinic’s AI assistant use RAG to link GPT-based dialogue with current medical literature and patient data. RAG enables fresh responses without full retraining by querying external data at answer time.