Tag: ScyllaDB

Embark on a comprehensive journey to master the USearch library for high-performance vector search, particularly with ScyllaDB, from …

Unlock the mystery of vector embeddings! Learn what they are, why they're vital for modern AI, and how they transform data into a language …

Dive into USearch: understand its core concepts, learn how to install it, and perform your first vector search with practical Python …

Take your first steps with USearch! Learn to initialize a vector index, add data, and perform similarity searches, understanding the core …

Explore ScyllaDB's architecture, its role in real-time AI applications, and how it provides massive-scale vector search capabilities, …

Dive into ScyllaDB's native vector data type, learn how to define vector columns, understand distance metrics, and store vector embeddings …

Dive into ScyllaDB's native vector search capabilities, powered by USearch. Learn to create vector columns, build indexes, and perform …

Dive deep into USearch indexing strategies, focusing on HNSW, understanding their impact on performance and recall, and applying them for …

Explore vector distance metrics like Euclidean, Cosine, and Dot Product, understanding their role in USearch and ScyllaDB for accurate …

Dive deep into optimizing USearch performance within ScyllaDB, focusing on memory management, latency reduction, and fine-tuning vector …

Unlock the power of ScyllaDB and USearch to build highly scalable vector search solutions capable of handling billions of vectors with low …

Dive into advanced USearch features: quantization and compression. Optimize vector search for memory, speed, and scale, balancing accuracy …