Hybrid retrieval systems combine vector embeddings with traditional keyword-based searches to provide more precise and relevant results consistently, addressing the limitations of purely vector-based systems.
Dual approaches of hybrid retrieval systems embed queries into a semantic space for contextually similar information retrieval, while also employing keyword searches to avoid overlooking relevant data.
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