This whitepaper presents a comprehensive analysis of vector databases, their functionality and importance in AI and machine learning. It explores database technology evolution, highlighting how vector databases address limitations of traditional systems when handling high-dimensional data and complex similarity searches. The guide focuses on vector databases’ use for enhancing pattern recognition, efficient high-dimensional data processing, and improving scalability in data-driven applications.
This whitepaper presents a comprehensive analysis of vector databases, their functionality and importance in AI and machine learning. It explores database technology evolution, highlighting how vector databases address limitations of traditional systems when handling high-dimensional data and complex similarity searches. The guide focuses on vector databases’ use for enhancing pattern recognition, efficient high-dimensional data processing, and improving scalability in data-driven applications.
Konverge AI is a pure-play decision science firm dedicated to empowering businesses with the power of AI. As industry pioneers, we operate at the intersection of data, machine learning (ML) models, and business insights that help you develop cutting-edge AI products and solutions.