Abstract

Generative AI has changed the path of finding for information and solving problems quite easier. Instead of just giving links, it understands what we want, explains things effectively, and even assist us think automatically. Large Language Models like GPT, LLaMA, and PaLM are widely used for creating human-like text, but they still face some limitations such as making incorrect facts, giving unreliable answers, failing to follow proper reasoning steps and more. These limitations become more intense in situations where accurate and reliable information is necessary. To overcome this, Retrieval Augmented Generation was introduced to provide the most efficient and reliable answers. During the response process, it makes the models to find the right information from external sources. Even though this is deficient for mistakes and give accurate and trustworthy results when compared with models that run alone.