Optimize RAG Applications with Document Reranking Using Haystack With NVIDIA NeMo Retriever

In retrieval-augmented generation (RAG) applications, the quality of the retrieved documents plays a critical role in delivering accurate and meaningful responses. But what happens when embedding similarity is not enough to get an accurate ordering of the reference documents?