Deployment & Scaling · Advanced
Hybrid Search & Reranking
Combine keyword and vector retrieval, fuse the results, then rerank with a cross-encoder for precision at the top.
- 50 min lesson
- advanced level
- Engineering Track
- Narrated presentation
What you’ll learn
- BM25/sparse vs. dense retrieval trade-offs
- Reciprocal Rank Fusion and score normalisation
- Bi-encoder vs. cross-encoder scoring
- Retrieve-wide-then-rerank pattern
- Precision@k vs. recall@k
- Latency budget for the reranking hop
Inside this lesson
A narrated, slide-by-slide presentation with 1 prediction exercise, 1 knowledge check, 4 videos. You answer as you go, and the platform checks your work.