Generative AI Agents in Action: Master LangChain, RAG, and Modular Memory to Build Scalable, Production-Ready AI Systems

By Ferne A. Wilson

Generative AI Agents in Action: Master LangChain, RAG, and Modular Memory to Build Scalable, Production-Ready AI Systems

Unlock the full potential of next-generation AI systems learn how to design intelligent, autonomous, and memory-driven agents that scale from prototype to enterprise production.

Generative AI Agents in Action is your hands-on guide to mastering the new era of AI development. From LangChain and Retrieval-Augmented Generation (RAG) to modular memory architectures, this book teaches you how to build systems that think, learn, and act with precision and scalability.

You'll move beyond simple chatbots to create production-grade AI agents capable of reasoning, context retention, and autonomous task execution. Each chapter walks you through real-world frameworks, code examples, and deployment strategies that align with modern MLOps and DevSecOps workflows.

Whether you're an AI engineer, data scientist, or technology leader, this book provides the clarity and structure needed to build intelligent systems ready for real-world integration-secure, efficient, and adaptable.

Key Features:

Master Core Frameworks: Build advanced AI agents using LangChain, RAG pipelines, and vector databases.

Implement Modular Memory: Learn how to design scalable short-term and long-term memory systems for adaptive AI.

Production-Ready Architectures: Explore deployment patterns, version control, and monitoring for enterprise-scale AI applications.

Secure & Efficient Pipelines: Integrate AI agents with cloud-native tools and ensure compliance in hybrid environments.

Hands-On Examples: Follow practical, code-driven tutorials and reusable design patterns for immediate implementation.

Take the next step toward building intelligent, autonomous AI systems.
Get your copy of Generative AI Agents in Action todayand start creating AI agents that learn, reason, and perform at scale.

• Format: Paperback
• Language: English
• ISBN: B0FV8ZQ7B8
• ISBN13: 9798268890419
• Release Date: October 2025
• Publisher: Independently Published
• Length: 94 Pages
• Weight: 0.39 lbs.
• Dimensions: 0.2" x 7.0" x 10.0"