Explore the advanced technique of RAG fusion in this 13-minute video tutorial. Learn how to improve the effectiveness of Retrieval-Augmented Generation (RAG) models by combining multiple search queries and ranking results using reciprocal rank fusion. Dive into the implementation process using LangChain, starting with an overview of RAG and progressing through the steps of reproducing RAG fusion. Download necessary data and utilities, set up the retriever, create the query chain, and understand the reciprocal rank fusion process. Conclude by constructing the final chain, gaining practical insights into applying RAG fusion in various scenarios. Access the provided Colab notebook, blog post, and original code repository for additional resources and hands-on practice.