Agentic RAG Architecture: Build Autonomous AI Agents with Dynamic Knowledge Retrieval, Contextual Intelligence, and Scalable Serverless Integration

By Larry Shawn

Agentic RAG Architecture: Build Autonomous AI Agents with Dynamic Knowledge Retrieval, Contextual Intelligence, and Scalable Serverless Integration

The future of AI is autonomous, adaptive, and intelligent-and Agentic RAG systems are at the forefront of this revolution.

This comprehensive, hands-on guide takes you from concept to real-world implementation, equipping you with the Python-driven techniques to build multi-agent architectures, automate workflows, and harness retrieval-augmented generation (RAG) for intelligent decision-making. Whether you're a developer, AI engineer, or technology strategist, this book provides the essential knowledge to design, deploy, and scale AI systems capable of autonomous learning, contextual understanding, and real-time data retrieval.

Through step-by-step tutorials, practical code examples, and industry use cases, you will master:

✔ Designing and Building Agentic AI Systems - Learn the core principles of multi-agent AI, intelligent automation, and contextual knowledge retrieval.

✔ Python-Powered Automation - Implement next-gen AI workflows with Python, from data ingestion to large language model (LLM) integration.

✔ Real-World Applications - Explore financial, healthcare, and enterprise automation case studies showcasing Agentic AI in action.

✔ Scalable Serverless Deployment - Optimize performance with serverless computing, cloud integration, and modular architecture for AI-driven automation.

✔ NLP and Large Language Models - Leverage transformer models, RAG, and AI-driven retrieval techniques to enhance contextual decision-making.

Whether you're designing AI-powered applications, building intelligent systems, or integrating multi-agent workflows, this book delivers practical, industry-tested solutions for autonomous AI development.

Take Agentic AI from theory to practice and develop scalable, intelligent agents that drive automation and innovation in the real world.

Perfect for AI engineers, software developers, data scientists, and tech leaders.

• Format: Paperback
• Language: English
• ISBN: B0F1YQ9QGQ
• ISBN13: 9798314624739
• Release Date: March 2025
• Publisher: Independently Published
• Length: 142 Pages
• Weight: 0.57 lbs.
• Dimensions: 0.3" x 7.0" x 10.0"