Forbes July 2, 2024
Generative AI is revolutionizing data and analytics, but its applications demand advanced data management capabilities to handle vast, diverse, and complex datasets that include images, video, audio, documents, and text. Traditional databases were originally designed for structured data and exact matches, but they are proving insufficient for genAI models, which often operate in high-dimensional spaces and require searching for similarities.
Vector databases are advanced databases designed for optimized storage and retrieval of high-dimensional vector data. They excel in conducting large-scale similarity searches and streamlining data management for cutting-edge AI applications. Their key advantage lies in supporting specialized vector indexes, which enable fast query processing and deliver the high performance required for analyzing complex data.
Vector databases are ideal for applications...
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