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Introduction

In the era of information overload, efficient and intelligent search mechanisms have become indispensable. Retrieval-Augmented Generation (RAG) has emerged as a powerful paradigm in this context, combining the strengths of large language models with the ability to retrieve and leverage external knowledge. This approach not only enhances the accuracy and relevance of search results but also allows for more nuanced and context-aware responses to user queries.

The Power of …