Build practical AI agents with real-world tooling
AI Agents and Applications: With LangChain, LangGraph, and MCP is a hands-on guide to building language-model applications that do more than answer a prompt. Roberto Infante takes readers from the basics of prompt execution into the architectures behind summarization systems, RAG-powered Q&A, tool-using agents, and multi-agent workflows.
The book’s structure makes its purpose clear: it is designed for developers who want to understand how modern AI application pieces fit together and how to use them in working systems. LangChain and LangGraph provide the backbone, while ChromaDB, LangSmith, and MCP appear as part of a broader, production-minded toolkit.
What the book covers
- Prompting and prompt execution programmatically
- Text summarization with LangChain
- Research summarization workflows
- Agentic workflows with LangGraph
- RAG fundamentals and advanced retrieval techniques
- Question transformation, routing, and retrieval postprocessing
- Tool-based agents and multi-agent systems
- Building and consuming MCP servers
- Memory and guardrails for production use
A developer-focused path through modern AI systems 💻
Rather than treating “AI agents” as a buzzword, this book breaks the topic into concrete implementation problems: how questions are turned into prompts, how retrieval improves answers, how workflows are coordinated, and how systems are prepared for real use. That makes it especially useful for programmers who want a practical framework they can adapt to their own projects.
Who will appreciate it
This ebook is a strong match for software developers, AI engineers, and technically minded readers exploring LLM applications, retrieval-augmented generation, and agent orchestration. If you want a structured, code-first introduction to current agent tooling, this title belongs on your shortlist.
At a glance
- Author: Roberto Infante
- Publisher: Manning
- ISBN-13: 9781633436541
- Language: English
- Length: 448 pages
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