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Vector databases don't store raw data. Instead, they use embedding models to convert data into vectors, capturing semantic meaning. This allows for similarity searches based on mathematical operations, finding content that's conceptually alike. Revolutionary stuff! #VectorDatabase #Embeddings #SemanticSearch #AI #DataScience | Yummy Marketing | Facebook
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