SKU/Artículo: AMZ-B0FYNG49HB
PgVector in Action : Build AI-Ready Database for Semantic Search, RAG, and Hybrid Retrieval Using PostgreSQL, LangChain, and Modern AI Frameworks
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Kindle
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0.76 kg
0.76 kg
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Amazon
Amazon
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USA
USA
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- Pgvector in Action Build AI-Ready Databases for Semantic Search, RAG, and Hybrid Retrieval using PostgreSQL, LangChain, and Modern AI Frameworks Book Description: Unlock the full power of AI-driven data retrieval by transforming your PostgreSQL database into an intelligent vector engine. Pgvector in Action is your complete, hands-on guide to building AI-ready databases that support semantic search, Retrieval-Augmented Generation (RAG), and hybrid retrieval systems using the open-source Pgvector extension. Through clear explanations and practical labs, this book takes you from fundamental vector concepts to advanced implementations that combine PostgreSQL, LangChain, OpenAI, and Hugging Face to create high-performance, real-world AI search applications. Inside This Book, You Will Learn How To: • Install and configure Pgvector across platforms • Create and index vector tables for fast semantic queries • Generate embeddings from text, images, and multimodal data • Build RAG pipelines with LangChain and PostgreSQL • Combine keyword and vector search for hybrid retrieval • Optimize database performance and query efficiency • Design and deploy production-grade AI retrieval systems Why Read Pgvector in Action? • Teaches you everything from vector basics to full-stack AI integration • Packed with hands-on labs, real-world projects, and best practices • Perfect for developers, data engineers, and AI practitioners • Bridges the gap between traditional databases and modern AI workflows • Includes troubleshooting guides, optimization tips, and deployment strategies Who This Book Is For: Developers, data scientists, backend engineers, and AI enthusiasts who want to integrate semantic search, RAG, and hybrid retrieval into existing systems using PostgreSQL and open-source AI tools. By the end of this book, you’ll have the skills and understanding to design, build, and scale AI-powered databases that enable smarter, faster, and more contextual information retrieval — all powered by Pgvector.
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