Introduction

Large Language Models (LLMs) can generate human-like responses, but they may sometimes provide inaccurate information or struggle with questions that require understanding relationships across multiple documents. Retrieval-Augmented Generation (RAG) helps address these limitations by retrieving relevant information before generating an answer.

However, traditional RAG often focuses on retrieving text …