{"product_id":"postgresql-as-a-vector-database-jenny-f-yazzie-9798269749242","title":"PostgreSQL as a Vector Database for AI: Master pgvector, RAG Workflows, and Multimodal LLM Applications for Real-World Projects","description":"\u003cp\u003eUnlock the power of PostgreSQL as a vector database and revolutionize how your AI applications handle semantic search, RAG workflows, and multimodal LLM tasks. Master cutting-edge techniques to build high-performance, real-world AI systems. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eDiscover how PostgreSQL, combined with the powerful \u003ci\u003epgvector\u003c\/i\u003e extension, can serve as the backbone for next-generation AI applications. This book takes you step by step through vector storage, advanced indexing techniques, and real-world retrieval-augmented generation (RAG) workflows, enabling you to create intelligent systems that retrieve and generate information efficiently.\u003cp\u003eExplore how to integrate multimodal embeddings text, images, and audio into a unified database to power cross-modal AI applications. From installing PostgreSQL and configuring pgvector to running similarity queries and optimizing large datasets, this guide offers practical, hands-on examples that accelerate your development workflow.\u003c\/p\u003e\u003cp\u003eWhether you're a data engineer, AI developer, or machine learning enthusiast, you'll gain the skills to build scalable, low-latency AI solutions that leverage vector databases for advanced reasoning, search, and generative tasks.\u003c\/p\u003e\u003cb\u003eBenefits: \u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eMaster the \u003ci\u003epgvector\u003c\/i\u003e extension for PostgreSQL and learn to store, index, and query high-dimensional embeddings efficiently.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eImplement RAG workflows to combine retrieval with generative AI for smarter, context-aware responses.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eIntegrate multimodal embeddings to handle text, images, and audio seamlessly.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eOptimize queries and indexes for performance on large-scale vector datasets.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHands-on, practical examples with real-world AI applications to accelerate learning and implementation.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eTake your AI projects to the next level \u003ci\u003egrab your copy now\u003c\/i\u003e and start building high-performance vector database systems with PostgreSQL for AI, RAG workflows, and multimodal LLM applications today!\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Jenny F. Yazzie\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798269749242\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/13\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 58\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.26lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.12d","brand":"Jenny F. Yazzie","offers":[{"title":"Paperback","offer_id":48623524380927,"sku":"9798269749242","price":15.76,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/postgresql-as-a-vector-database-jenny-f-yazzie-9798269749242","provider":"WR Book House","version":"1.0","type":"link"}