SKU/Artículo: AMZ-B0FZ53742D

Mastering pgvector: Advanced Vector Search and AI Integration with PostgreSQL

Format:

Kindle

Hardcover

Kindle

Paperback

Detalles del producto

Disponibilidad:
Fuera de stock

Peso con empaque:
0.15 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

Mastering pgvector: Advanced Vector Search and AI Integration with PostgreSQL This book provides a comprehensive guide to leveraging pgvector for advanced vector search and AI integration. It covers fundamental concepts such as vector representations, similarity metrics, and indexing strategies, and extends into practical implementations including embedding storage, hybrid search, and contextual retrieval for LLM applications. Through step-by-step examples, readers will learn how to build scalable, production-ready AI systems using PostgreSQL as the backbone for vector search. Key Exploration 1. In-depth explanation of vector representations and distance metrics used in AI. 2. Step-by-step guide to installing, configuring, and optimizing pgvector for real-world workloads. 3. Techniques for storing and querying embeddings from OpenAI, Hugging Face, and local models. 4. Methods for building scalable semantic search APIs, recommendation systems, and hybrid search solutions. 5. Guidance on integrating PostgreSQL vector storage with Python, Rust, and Node.js AI pipelines. 6. Strategies for performance tuning, caching, partitioning, and monitoring large vector datasets. 7. Practical insights into integrating pgvector with modern frameworks like LangChain, LlamaIndex, and Supabase. 8. Best practices for security, backup, and maintenance of AI-enabled vector databases. Who's this book for This book is designed for developers, data engineers, AI practitioners, and software architects who want to harness the power of PostgreSQL for vector-based AI applications. A basic understanding of PostgreSQL and programming concepts is helpful, but the book also guides readers step-by-step through complex implementations, making it suitable for those looking to advance their skills in AI integration and scalable vector search systems. Unlock the full potential of PostgreSQL for AI and vector search. Whether you are building semantic search engines, recommendation systems, or LLM-powered applications, this book equips you with the knowledge, tools, and practical examples to transform your AI ideas into production-ready systems. Start mastering pgvector today and lead the next generation of intelligent applications.