Vector search is revolutionizing information retrieval by focusing on meaning rather than exact keywords. It uses vector embeddings to convert data into numerical vectors that capture semantic relationships. This makes search results more intuitive and human-like. Vector databases store and organize these vectors to enable fast
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Understanding Vector EmbeddingsHow Vector Search WorksKey Differences from Traditional SearchSummarySort: