Boosting RAG Accuracy: The Power of Re-ranking Strategies
When building Retrieval-Augmented Generation (RAG) applications, developers often face a common bottleneck: the "needle in a haystack" problem. While vector databases excel at retrieving semantically similar documents at scale, they rely on dense embeddings that approximate similarity. This appro...