Open Internet by MindsNet

Evaluating and Improving RAG Systems

The author questions whether RAG (Retrieval-Augmented Generation) systems are simply content-based recommender systems with an added LLM (Large Language Model) ranking layer. They highlight the challenges in the retrieval part, such as semantical encoding and evaluation, and wonder if RAG is a simpler way to solve problems already addressed by recommender systems.

Computing & Technology, Computer Science, Machine Learning