Moving Beyond Simple Vector Search: Why Hybrid Search is Essential for RAG

Moving Beyond Simple Vector Search: Why Hybrid Search is Essential for RAG As LLMs continue to dominate the landscape, Retrieval-Augmented Generation (RAG) has become the go-to architecture for grounding AI in private data. However, many developers hit a wall when their RAG systems fail to retrieve context-specific details. The solution? Hybrid Search . The Limitation of Dense Vectors Dense vector embeddings are excellent at capturing semantic meaning. They allow an AI to understand that 'canine