RAG in Practice: Building AI Apps by Nolan Hart (.ePUB)+
File Size: 10 MB
RAG in Practice: Building AI Apps That Answer From Real Data (Practical AI Agent Design Book 2) by Nolan Hart
Requirements: .ePUB, .PDF reader, 10 MB
Overview: Are you struggling with LLM hallucinations and unreliable answers in your AI applications? Retrieval-augmented generation (RAG) is the solution, and “RAG in Practice” shows you how to build production-ready systems that answer from real data. Written by Nolan Hart, this practical guide takes you from raw documents to deployed applications, covering every stage of the RAG pipeline with minimal code and maximum insight. This book is for intermediate Python developers and AI engineers who have experimented with LLM APIs and want to move from demos to reliable, data-grounded applications. You’ll gain a systematic roadmap for ingesting, chunking, embedding, retrieving, generating, and evaluating answers—all with a focus on architectural patterns that outlast tool churn. Whether you’re building a document chatbot, a knowledge assistant, or an AI search tool, “RAG in Practice” equips you to deliver answers your users can trust.
Genre: Non-Fiction > Tech & Devices
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