Vector Database Mastery: Foundations, Indexing, and Semantic Search with FAISS, Milvus, and Pinecone - Couverture souple

Zhou, Lian

Couverture souple

ISBN 13 : 9798277971871

Editeur : Independently published, 2025

Synopsis

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:

• Fundamentals of vector embeddings and similarity search
• High-dimensional indexing with FAISS HNSW, IVF, and PQ
• Using managed and self-hosted vector databases
• Building semantic search engines and recommendation systems
• Mathematical insights behind performance optimization

Key Use Cases:

• Semantic search beyond keyword queries
• Personalized recommendations and content retrieval
• Multimodal search with text and images
• RAG pipelines for AI applications

Start your journey into scalable vector search systems with hands-on examples and theoretical foundations that prepare you for advanced AI retrieval workflows.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2025
• Langue: anglais
• ISBN 13: 9798277971871
• Reliure: Broché
• Nombre de pages: 161
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg