Raudaschl / rag-fusion

What it does

RAG-Fusion is a search methodology that aims to bridge the gap between traditional search paradigms and the multifaceted dimensions of human queries. Where Retrieval Augmented Generation (RAG) fuses vector search with generative models, RAG-Fusion goes a step further — employing multiple query generation and Reciprocal Rank Fusion to re-rank search results. The aim is to surface relevant material a single phrasing of the query would miss, particularly when the user's vocabulary doesn't match how the corpus is indexed.