Hybrid Retrieval combines multiple retrieval methods—such as keyword search and semantic vector search—to identify the most relevant information for an AI system. Combining approaches improves retrieval quality across different query types.
Voice AI assistants use Hybrid Retrieval within RAG systems to answer customer questions more accurately. It improves document discovery, reduces missed results, and provides stronger factual grounding during conversations.