Improving RAG Answer Quality Through Complex Reasoning

Multi-hop retrieval enhances the capabilities of Retrieval-Augmented Generation (RAG) systems by enabling complex reasoning over multiple pieces of information. This method is especially powerful for advanced question-answering systems. The post demonstrates building a Q&A chatbot for the healthcare domain using Indexify, OpenAI, and DSPy, showcasing how multi-hop retrieval can significantly improve answer quality in complex queries.