Description
Building Generative AI Agents: Using LangGraph, AutoGen, and CrewAI.
Learn how to design, build, and deploy intelligent AI agents using today’s leading generative AI frameworks.
The next generation of artificial intelligence is moving beyond chatbots and into AI agents—intelligent systems capable of planning, reasoning, using tools, and completing complex tasks with minimal human intervention. Building Generative AI Agents provides a practical, developer-focused guide to creating these powerful systems using today’s most popular frameworks, including AutoGen, LangChain, LangGraph, CrewAI, and Haystack.
Powered by recent advances in large language models (LLMs), AI agents are transforming the way software is built and how businesses automate complex workflows. Rather than simply answering questions, these systems can retrieve information, generate code, execute tasks, interact with external services, analyze data, and continuously improve through memory, planning, and feedback mechanisms.
This hands-on guide explains the concepts, architecture, and implementation strategies behind modern AI agents, helping developers move from theory to real-world applications.
Inside the book, you’ll learn how to:
- Understand the core concepts, capabilities, and limitations of AI agents.
- Explore the latest breakthroughs in large language models that power autonomous AI systems.
- Build intelligent agents for product development, financial planning, customer support, and knowledge retrieval.
- Implement Retrieval-Augmented Generation (RAG) to improve the accuracy and relevance of AI responses.
- Develop AI agents using industry-leading frameworks such as AutoGen, LangChain, LangGraph, CrewAI, and Haystack.
- Design agent architectures that incorporate planning, memory, tool usage, and decision-making.
- Deploy, monitor, and maintain AI agents in production environments.
- Evaluate the strengths, trade-offs, and best practices for building reliable generative AI applications.
- Discover how AI agents are transforming industries through automation, intelligent workflows, and enhanced productivity.
Blending practical implementation with architectural guidance, Building Generative AI Agents equips experienced software developers with the skills needed to create scalable, intelligent, and production-ready AI systems. Whether you’re developing enterprise automation, coding assistants, research agents, or customer service solutions, this book provides a solid foundation for building the next generation of AI-powered applications.







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