Understanding RAG III: Fusion Retrieval and Reranking
Check out the previous articles in this series:
Having previously introduced what is RAG, why it matters in the context of Large Language Models (LLMs), and what does a classic retriever-generator system for RAG look like, the third post in the “Understanding RAG” series examines an upgraded approach to building RAG systems: fusion retrieval.
Before deep diving, it is worth briefly revisiting the basic RAG scheme we explored in part II of this series.
Fusion Retrieval Explained