The Semantic Search Blind Spot: Why RAG Needs Hybrid Retrieval

Pure vector search excels at semantic understanding but stumbles on exact keyword matches—a critical gap in RAG systems. Hybrid search combines vector similarity with BM25's keyword precision through RRF fusion, solving this fundamental limitation. For production RAG applications, this hybrid approach is essential to reliably retrieve both semantically similar and precisely matching documents.