ALLMAcademy

Module Gate

Module Gate: RAG & Retrieval

12 min
  1. 01Synthesize the end-to-end retrieval funnel from chunking through grounded generation
  2. 02Apply the right fix when dense, sparse, freshness, or metric failures appear
  3. 03Choose semantic, hybrid, or graph-backed retrieval from the question shape
  4. 04Distinguish retrieval quality from generation quality across the pipeline

RAG is a funnel, not a magic box: chunk and embed the corpus, pull semantic and keyword matches, fuse and rerank a small set, and only a handful of passages reach the model. Prove you can connect each stage to its failure mode and its fix.

Module Gate

Check the whole module

Question 1 of 5

Order the stages of a two-stage hybrid retrieval pipeline at query time, from first to last.

Put these in the correct order.

1Retrieve candidates with dense + BM25 search
2Rerank survivors with a cross-encoder
3Pass the top 5–10 passages to the LLM
4Fuse the ranked lists with RRF