The Sequence Knowledge #492: RAG-Fusion is Better than Just RAG
Understanding the principles of RAG-fusion techniques.
Today we will Discuss:
An introduction to RAG Fusion which expands some of the traditional RAG concepts with sophisticated ranking methods.
A review of the original RAG Fusion paper.
💡 AI Concept of the Day: What is Fusion RAG
Continuing our RAG series, today we are going to discuss one of the most sophisticated methods created in recent times. Fusion RAG( also known as RAG-Fusion), an evolution of traditional Retrieval-Augmented Generation (RAG), enhances information retrieval and response generation by leveraging multiple query expansions and advanced ranking techniques. This approach addresses limitations of conventional RAG systems, which often rely on single-document retrieval for complex queries.
At its core, Fusion RAG employs multi-query generation to create diverse interpretations of the original user query. These expanded queries are then used to perform multiple vector searches, broadening the scope of relevant information retrieval. The system utilizes Reciprocal Rank Fusion (RRF) to combine and re-rank search results from these multiple queries, prioritizing documents that consistently appear in top positions across different searches.