EBOOK

RAG: Reliable, Agentic, and Geared for Production
Elevate your AI proof-of-concept to a robust production system. Discover how to implement AI agents in RAG and scale with measurable business value.

Retrieval-Augmented Generation (RAG) has evolved into a production-ready system by integrating agents for smarter data retrieval and query optimization. This eBook explores balancing agentic orchestration with direct pipelines for efficiency and scalability. It highlights performance optimization through caching, compression, and redundancy while ensuring user trust. By prioritizing simplicity and resilience, RAG systems become reliable for real-world deployment.

Published on March, 2025. By – 

Aashish

Aashish Singla

CTO, Indexnine,
25+ yrs Exp

Varun Ramanathan

PhD in CS, Université de Bordeaux, France

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POC to Production: Make RAG Work at Scale

70% of AI projects never make it out of the lab due to high cost, unpredictable queries and retrieval inefficiencies. If your RAG system is struggling with performance, scalability or cost overruns, this eBook is your playbook.

What’s In? 5 Architectures – Which RAG model is right for you?

    • 10X Faster Retrieval – How to reduce latency without sacrificing accuracy
    • 3 Cost Optimization Strategies – Minimize unnecessary API calls and compute overhead
    • Real World Deployment Challenges Solved – How to handle unpredictable user queries and data drift
    • Step by Step Scaling Framework – From prototype to full scale

Get practical insights, proven strategies and hands on frameworks to take your RAG system from concept to deployment – efficiently and at scale.

Get your free copy!