Understanding the relationship between vector databases, efficient computation, and indexing techniques
Vector databases were created to manage large-scale vector embeddings for text, images, and multimodal data. This sparked a shift where major databases, either natively or through extensions, blending specialized AI functionality with general-purpose data management.
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