RAG-Boosted Documentation Search

This project focuses on enhancing documentation search capabilities using Retrieval-Augmented Generation (RAG) techniques. By integrating RAG with large language models, the system aims to provide more accurate and context-aware search results, improving user experience in accessing documentation.