Day 9 - Sparse embedding continued - RAG

The article reviews sparse retrieval methods such as TF, IDF, TF-IDF, and BM-25 for search.

It highlights the limits of keyword-only retrieval, which can miss broader context and semantic meaning.

For RAG systems, it recommends hybrid search that combines BM-25 with dense embeddings for better relevance.

The key takeaway is that sparse and dense methods complement each other, improving retrieval quality and RAG performance.