{"product_id":"vector-database-rag-engineering-designing-scalable-low-latency-retrieval-systems-for-llms-ai-agents-and-production-applications-9798261952480","title":"Vector Database \u0026 Rag Engineering: Designing Scalable, Low-Latency Retrieval Systems for Llms, AI Agents, and Production Applications","description":"\u003cp\u003e • Author(s): Finn Cordex\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Natural Language Processing\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eUnlock the full power of \u003cb\u003eLarge Language Models (LLMs), AI agents, and production-grade AI applications\u003c\/b\u003e with \u003ci\u003eVector Database \u0026amp; RAG Engineering\u003c\/i\u003e. This advanced guide equips developers, ML engineers, and data scientists with the expertise to design \u003cb\u003escalable, low-latency retrieval systems\u003c\/b\u003e that power modern AI workflows.\u003c\/p\u003e\u003cp\u003eInside, you'll discover: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eHow vector databases underpin \u003cb\u003eretrieval-augmented generation (RAG)\u003c\/b\u003e and real-time AI reasoning.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eStep-by-step architectural patterns for building \u003cb\u003ehigh-performance, production-ready retrieval systems\u003c\/b\u003e.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eExpert insights into \u003cb\u003eembedding strategies, indexing, graph orchestration, and memory management\u003c\/b\u003e.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHands-on, production-aware Python examples with \u003cb\u003eLangChain and LangGraph\u003c\/b\u003e, taking you from minimal prototypes to enterprise-ready deployments.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eTechniques for \u003cb\u003eoptimization, testing, debugging, and secure AI deployment\u003c\/b\u003e, including considerations for GDPR and data governance.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWhether you're designing intelligent assistants, multimodal search engines, or agentic automation pipelines, this book bridges \u003cb\u003etheory and practice\u003c\/b\u003e, giving you actionable frameworks and expert best practices that go far beyond tutorials.\u003c\/p\u003e\u003cp\u003eTransform your AI projects with systems that are \u003cb\u003erobust, efficient, and ready for real-world scale\u003c\/b\u003e-all guided by a seasoned AI engineer and technical author with 10+ years of applied experience.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":46860909412503,"sku":"9798261952480","price":1420.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798261952480.webp?v=1769959679","url":"https:\/\/atlanticbooks.com\/products\/vector-database-rag-engineering-designing-scalable-low-latency-retrieval-systems-for-llms-ai-agents-and-production-applications-9798261952480","provider":"Atlantic Books","version":"1.0","type":"link"}