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Vector Embedding 101: The Key to Semantic Search

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Semantic search is a method of searching that goes beyond keywords to understand the true meaning and context of our queries. At the heart of semantic search lies vector embedding. Vector embedding is a technique that converts text into a high-dimensional vector, allowing computers to understand and process the meaning of words and phrases like humans do. This enables search engines to return more relevant and accurate results.

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