// MASTERING USEARCH & SCYLLADB FOR VECTOR SEARCH: CHAPTERS

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 machines …

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

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

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

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

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

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

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

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

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

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

Explore real-world architectural patterns for integrating USearch-powered vector search with ScyllaDB, covering data flow, scaling, and best practices …

Learn to build a real-time movie recommendation system using USearch for efficient vector similarity search and ScyllaDB for scalable, low-latency …

Dive into practical semantic search by building a document search engine. Learn to generate embeddings, store them in ScyllaDB, and query with USearch …

Learn to apply USearch and ScyllaDB for real-time fraud detection using vector similarity, building on prior knowledge of embeddings and scalable …

Master monitoring and debugging USearch-powered vector search with ScyllaDB. Learn to identify performance bottlenecks, troubleshoot issues, and …

Explore robust deployment strategies for USearch-powered vector search with ScyllaDB, focusing on achieving high-availability, fault tolerance, and …

Master the critical aspects of managing the full lifecycle of vector embeddings, from creation to updates and deletion, using USearch and ScyllaDB for …

Explore the exciting future of vector databases and search, including hybrid approaches, multimodal AI, and the evolving role of USearch and ScyllaDB …