Token-Efficient RAG: Using Query Intent to Reduce Cost Without Losing Accuracy

In this article, we will examine the RAG optimization technique to reduce the number of tokens required to generate a response while maintaining response accuracy. Before we dig deeper into RAG, let us review a few basic terms. What Is an LLM (Large Language Model)? Large language models (LLMs) are very large deep learning models that are pre-trained on vast amounts of data. They are capable of performing tasks ranging from simple to complex, such as content generation, text classification, text mining, and summarization.