AI-Powered RAG Apps with Azure AI Search: Integrate Vector Search and Full-Stack Components to Deliver Precise, Production-Ready Results

By Luca Randall

AI-Powered RAG Apps with Azure AI Search: Integrate Vector Search and Full-Stack Components to Deliver Precise, Production-Ready Results
Building AI apps that actually return the right answer, consistently, securely, and at scale, is harder than most teams expect. Hallucinations, stale results, and brittle prototypes can quietly erode trust in your entire AI initiative.

This book shows you how to fix that with one focused idea: combine retrieval-augmented generation (RAG) with Azure AI Search and robust full-stack patterns to deliver precise, production-ready results.

"AI-Powered RAG Apps with Azure AI Search" gives you a complete, practical guide to designing, building, and shipping real-world RAG applications that work under pressure. You learn how to use Azure AI Search for vector search, hybrid retrieval, semantic ranking, and filters, and then connect it cleanly to your LLMs, APIs, and front ends.

You will see, step by step, how to:

Architect RAG pipelines using Azure AI Search, embeddings, and hybrid vector + keyword search.

Index documents, PDFs, and structured data with field mappings, chunking, and enrichment that actually improve relevance.

Implement retrieval flows that respect filters, security, and user permissions.

Wire up LLM prompts, grounding, and post-processing to reduce hallucinations and stabilize output.

Build full-stack experiences (web, API, and background workers) that are secure, observable, and ready for real users.

Measure quality with evaluation loops, logging, and production metrics so you can keep improving your app after launch.

Along the way you'll answer key questions: How do you pick embedding strategies? When should you use pure vector search vs hybrid search? How do you keep context windows efficient without losing critical details?

Whether you are an Azure architect, AI engineer, or full-stack developer, this book gives you concrete patterns, examples, and templates you can adapt immediately to your own stack.

If you want your next AI project to move beyond demos and deliver reliable, explainable answers over your own data, this is your playbook. Add "AI-Powered RAG Apps with Azure AI Search" to your cart and start building RAG applications that your users can trust in production.

• Format: Paperback
• Language: English
• ISBN: B0G59BZXZ3
• ISBN13: 9798277555439
• Release Date: December 2025
• Publisher: Independently Published
• Length: 192 Pages
• Weight: 0.75 lbs.
• Dimensions: 0.4" x 7.0" x 10.0"