Reranking RAG Results When Semantic Similarity Picks the Wrong Chunks
Semantic vector search doesn't always retrieve the most useful context for Retrieval-Augmented Generation (RAG). Learn why embeddings sometimes select the wrong chunks and how reranking models, hybrid search, metadata filtering, and chunking strategies dramatically improve retrieval quality.