
Optimizing Retrieval-Augmented Generation for Efficiency and Cost Reduction
In the world of AI and language models, Retrieval-Augmented Generation (RAG) is a powerful technique that combines the best of external information retrieval with the generative capabilities of large language models (LLMs). However, one of the biggest challenges with RAG…