#ReRankEr

From Dev RSS Feed: Production Reranker Layer for RAG in Python: Cross-Encoder, Cohere Fallback, and Reciprocal Rank Fusion (Runnable Code)

Fine-tune a reranker on your click data. Pairwise loss, distillation from BGE/Cohere, eval lift math, when not to bother.

The standard advice for improving RAG retrieval quality is: retrieve more candidates, then filter...

The embedding model decides what your retriever can find. The reranker decides what makes it to the LLM. By 2026 the production patterns for picking and pairing these two have stabilized, and most teams are still leaving real recall on the table because…

Cross-encoder rerankers don't always help. Four cases where two-stage retrieval drops recall@5 below the bi-encoder, with code and a decision rule.