Why Your RAG Misses Answers (Reranking)

Vector search often retrieves the right documents but ranks them poorly, causing the LLM to ignore the best answers. This video shows how to implement a two-stage retrieval pipeline using cross-encoder reranking to put the most relevant context at the top of your prompt. 📚 This is Module 4 of a 10-part RAG course. New modules dropping regularly. ⏳ Chapters: [00:00] The Similarity Trap [00:54] Bi-Encoders vs Cross-Encoders [01:16] Two-Stage Retrieval [01:36] Code Setup [03:10] Reranking Demo [04:26] Free vs Paid Rerankers [04:58] Long Context Reorder [05:33] Trade-offs & Full Pipeline [06:24…