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Build a solid foundation in AI-powered vector search with Vector Database Mastery - Volume 1. This book guides engineers, data scientists, and AI enthusiasts through the essentials of vector representations, similarity search, and indexing techniques for scalable retrieval systems.
Learn how to transform text, images, and structured data into high-dimensional vectors and implement efficient search with cosine, Euclidean, and inner product distances. Explore FAISS, Milvus, and Pinecone, and understand the trade-offs between latency, memory, and recall with practical, production-ready Python code.
What You'll Learn: