CourseRetrieval-Augmented Generation: The Complete Course · Module 8: Reranking and Post-Retrieval Processing · part 54 of 95

Part 54 · Module 8: Reranking and Post-Retrieval Processing

Module 8: Reranking and Post-Retrieval Processing

1 min read·13 Oct 2026

What you need first

Module 6 (BM25, the weighted-sum hybrid at alpha 0.8, refusal bars, and the Search the lab builds on)
Module 5 (access filters that fail closed) and Module 4 (MRR, recall@k and the paired bootstrap)
Module 7's rewritten question is used as given data
A free Groq or Gemini key for one section of each lesson; the lab and the incident file need no key. On a Mac, read "FAISS and PyTorch together" in course-guide/02

This course is bought on its own, once, and stays readable afterwards, including the parts added to it later.