Blended RAG: Improving Retrieval-Augmented Generation Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Blended RAG, a novel approach that leverages semantic search techniques and hybrid query strategies, achieves superior retrieval results and sets new benchmarks for information retrieval datasets, while also demonstrating far superior performance on generative question-answering tasks compared to existing RAG systems.