Free ebook · 2026 edition
The complete guide Updated for 2026

The Complete RAG & Information Retrieval Guide for 2026

A reliable source of knowledge for decision makers, engineers and product managers on Retrieval Augmented Generation and its applications in Agentic AI.

  • Build production RAG systems that don't confuse similar products, services or documents.
  • Solve the accuracy vs. speed trade-off with patterns proven on 30+ live deployments.
  • Pick the right model size and know when smaller models actually outperform bigger ones.
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Why this guide ↓
Your trusted source of ground truth

Stay informed on RAG applications in Agentic AI in business workflows to pick your solutions wisely, gain reliable knowledge on what is possible with modern AI systems, and make informed decisions on your development plan.

Prepared by experts delivering RAG-enhanced agentic AI to Finance, Healthcare, Real Estate, Manufacturing and Print on Demand sectors, this ebook summarises the current state of the technology while providing real and proven examples of implementations that deliver results for existing companies.

Now, you can have all our experience and knowledge in one place.
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Table of Contents
RAG Explained: From Concept to Production
  1. 01Foundations & vector retrieval
  2. 02Disambiguation patterns
  3. 03Accuracy vs. speed trade-offs
  4. 04Model selection & cost
  5. 05Evaluation & metrics
  6. 06RAG-readiness audit
  7. 07Production case studies
What's inside

From this ebook you will learn

Practical, decision-ready chapters — written for the people who buy, scope and ship RAG systems. No fluff, no toy demos, no “hello world” tutorials.

  • How to make sure your systems never confuse similar products or services.
  • How to solve the accuracy vs. speed trade-off in real workloads.
  • What the true costs of bigger models are — and when smaller ones win.
  • How to evaluate your solution and set the right metrics to monitor performance.
  • If your systems are RAG-ready — and if not, how to make them so.
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Delivered by experts

Right to your hands

30+
Agentic AI implementations across Finance, Healthcare, Real Estate, Manufacturing and Print on Demand.
100%
Engineer-authored. Every chapter is written by people who ship RAG systems to production for real-life clients.
5·
Five vertical lenses — finance, healthcare, real estate, manufacturing, print-on-demand — each with concrete examples.
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