Search & Retrieval¶
Articles about search technologies, vector databases, and information retrieval systems.
Building Scalable Search Systems with Vector Databases¶
March 2025 • 8 min read
As AI-powered applications become more prevalent, the need for scalable search systems has never been greater. This article explores the architecture patterns and best practices for building search systems that can handle millions of users while maintaining sub-second response times.
Vector databases are specialized storage systems optimized for high-dimensional vector operations. They enable similarity search at scale, which is crucial for modern AI applications. Key concepts include horizontal partitioning, intelligent caching strategies, and efficient load balancing techniques.