Enhancing Large Language Models with Retrieval Augmentation Using Vector Databases Large Language Models (LLMs) like GPT-4 offer immense capabilities but often face challenges with data freshness. This blog post explores how retrieval augmentation, powered by vector databases, can keep LLMs updated with the latest information. The Challenge with LLMs LLMs are trained on vast datasets but are limited by the static nature of their training data. This means they often lack knowledge of recent events or developments.