This project aims to enhance the capabilities of language models by integrating retrieval-augmented generation techniques with vector databases. It focuses on developing systems that can efficiently retrieve relevant information from extensive datasets to improve the accuracy and contextual relevance of generated responses. The project seeks to optimize the interaction between retrieval mechanisms and generative models.