Most RAG performance advice begins at the ranking stage: choose a faster embedding model, tune an ANN index, reduce the result count, add a reranker, or cache common queries. Those are useful techniques. But RAG retrieval optimization should start one step earlier: Why is this query considering...
Source: [Dev.to](https://dev.to/puffball1567/rag-retrieval-optimization-reduce-vector-search-before-ranking-5h16)