---
title: "Gus Newton Retrieval-Augmented Generation (RAG) and Vector Databases"
ean: "9798314910122"
brand: "Gus Newton"
category: "Medier > Bøger > Trykte bøger"
price_min: 169
price_max: 169
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9798314910122/retrieval-augmented-generation-rag-and-vector-databases
last_checked: 2026-10-15
---

# Gus Newton Retrieval-Augmented Generation (RAG) and Vector Databases

EAN 9798314910122 · Mærke: Gus Newton · Kategori: Medier > Bøger > Trykte bøger

Sammenlign priser på Gus Newton Retrieval-Augmented Generation (RAG) and Vector Databases fra 1 forhandler. Billigste pris nu: 169 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9798314910122/retrieval-augmented-generation-rag-and-vector-databases

## Priser
- **Billigste pris nu:** 169 kr hos Saxo DK
- **Prisspænd:** 169 kr – 169 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 169 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Retrieval-Augmented Generation (RAG) and Vector Databases: A Practical Guide for AI Developers AI is only as powerful as the information it can access. Retrieval-Augmented Generation (RAG) bridges the gap between static language models and real-time knowledge retrieval, enabling AI to generate more accurate, context-aware responses. This book provides a hands-on, practical guide to building RAG-powered AI systems using vector databases for efficient and intelligent information retrieval. From understanding how RAG improves AI responses to implementing scalable retrieval systems, this book walks you through step-by-step tutorials, real-world applications, and best practices for optimization. Whether you're developing AI-powered search engines, chatbots, or enterprise knowledge systems, this guide equips you with the skills to build robust retrieval-enhanced AI models. This book takes a deep dive into RAG and vector search, covering: How RAG enhances AI models by retrieving relevant context before generating responses.Vector databases (FAISS, Pinecone, Weaviate, and more) and their role in AI-powered search.Step-by-step implementation of RAG pipelines using Python and modern frameworks like LangChain and Haystack.Optimizing retrieval performance to improve accuracy, reduce latency, and scale AI systems.Real-world use cases in enterprise search, personalized recommendations, chatbots, healthcare, finance, and cybersecurity. By the end of this book, you'll have the practical knowledge to build, deploy, and scale RAG-based applications. Key Features of This Book Comprehensive coverage of RAG, vector databases, and retrieval techniques. Practical tutorials and hands-on code examples using Python. Real-world applications for enterprise AI, e-commerce, and search engines. Step-by-step guidance on optimizing retrieval and reducing AI hallucinations. Deployment strategies for scaling RAG pipelines in cloud and on-premise environments. This book is perfect for: AI developers and data scientists building retrieval-augmented AI systems.Machine learning engineers optimizing search and retrieval models.Software developers working on chatbots, virtual assistants, and AI-powered search.AI researchers and enthusiasts interested in RAG, vector search, and LLMs. Unlock the full potential of AI-powered retrieval with Retrieval-Augmented Generation and Vector Databases! Whether you're a beginner or an experienced AI professional, this book will equip you with the skills to build advanced, intelligent systems. Get your copy today and start building RAG-powered AI applications that deliver smarter, more accurate responses.

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Kilde: PriceTracker. Fuld side med interaktiv prishistorik og købslinks: https://pricetracker.dk/p/9798314910122/retrieval-augmented-generation-rag-and-vector-databases
Priserne er sidst kontrolleret 2026-10-15.