AdvancedRAG Demo

Description

This video showcases an advanced Retrieval-Augmented Generation (RAG) pipeline that intelligently handles user queries to generate accurate, context-rich answers. The system combines query routing, context-aware enhancement, and document reranking to deliver highly relevant results. This architecture ensures accurate, context-driven answers while maintaining efficiency and adaptability across different domains like chatbots, knowledge assistants, and enterprise search systems. More on Github: https://github.com/Se00n00/PaperRAG