Let's discuss how we can systematically debug the rack pipeline from retrieval perspective. Let's say we have a query queue which we fire to a vector database that already has a lot of documents stored of which we get the top end documents which go to the re-ranking module from where we sample the top five documents. We then probably ask someone to evaluate to how many of these five documents are really relevant for the query. And if the results are not satisfactory we move on to checking each of these steps one by one. And let's say we find problem in the re-ranking stage. We can then incorporate modator or replace with a different model or do some kind of feature engineering to improve it. Follow for more.