Integrating a reranker in my RAG pipeline caused chaos, but I resolved it
In v2 I added hybrid retrieval (FAISS + BM25) to fix keyword blindspots. All 19 test questions passed. The next item on my list was a cross-encoder reranker for better precision. The idea is standard: over-fetch candidates, rerank with a smarter model, keep the top-k. Every RAG tutorial recommends i
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