Hybrid search merges keyword and vector-based retrieval to deliver highly relevant results. It handles exact matches and semantic understanding simultaneously. Used in e-commerce, enterprise knowledge bases, and AI applications, it improves accuracy for nuanced queries. Developers and data scientists benefit most, as it enhances search performance without sacrificing speed or precision.
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