A 3-Step Approach to Evaluate a Retrieval Augmented Generation (RAG)

Stop selecting the parameters of your RAG randomly

Photo by Adi Goldstein on Unsplash

Tuning your RAG to get optimal performance takes time, as this depends on various interdependent parameters: chunk size, overlap, top K retrieved docs, embedding models, LLM, etc.