Production Grade RAG: Building Reliable, Secure, and Scalable Enterprise Retrieval-Augmented Generation Systems (Paperback) (ISBN-13: 9798186245414)

Dive into the definitive guide on building and scaling Retrieval-Augmented Generation (RAG) systems for the enterprise. Production-Grade RAG bridges the gap between theoretical concepts and real-world deployment, offering a comprehensive roadmap for architects, engineers, and AI practitioners.

This book navigates through the complete RAG lifecycle, starting with foundational building blocks like embedding models, vector databases, and chunking strategies. It progresses into advanced implementation frameworks and tackles the critical challenges of enterprise AI, including evaluation metrics, debugging failure modes, and optimizing pipelines.

Key topics include:

• The evolution from Naive to Advanced and Enterprise RAG.

• Advanced patterns such as Graph RAG, Agentic RAG, and Adaptive Retrieval.

• Real-world production deployment, scaling architectures, and cost optimization.

• Strict governance, security, and compliance standards for AI systems.

Whether you are designing hybrid approaches with fine-tuning or exploring emerging research frontiers, this book provides the practical blueprints and case studies needed to successfully deploy robust, production-ready RAG applications.