Build intelligent LLM-powered applications with agentic workflows and tool-based agents.

AI-powered applications are rapidly becoming the new normal. Personal productivity assistants, coding agents, smarter search, and automated reporting tools are popping up everywhere. The LangChain ecosystem, and standards like MCP are driving this new gold rush. This book helps you claim your spot.

In "AI Agents and Applications: With LangChain, LangGraph and MCP," you’ll discover:

•Prompt and context engineering for accurate, hallucination-resistant systems

•Advanced RAG for summarization, semantic search, and reliable Q&A

•Structured, multi-step agentic workflows with LangGraph

•Tool-based agents that adapt in real time

•Multi-agent systems for complex, real-world tasks

•MCP integration to expose, compose, and consume plug-and-play tools"AI Agents and Applications" is your hands-on guide to creating real, production-ready language model solutions. With LangChain and LangGraph, you’ll orchestrate powerful agentic workflows and build dynamic tool-based agents that can search, summarize, reason, and act. You’ll move from essential prompt engineering to advanced Retrieval Augmented Generation (RAG), and finally to deploying multi-agent systems using modern integration standards like the Model Context Protocol (MCP).

About the book:

Along the way you’ll build concrete applications—summarization and Q&A engines, context-aware chatbots with memory, and tool-using AI agents that orchestrate multi-step workflows with branching logic. For the examples, the book uses Python, LangChain, LangGraph, and LangSmith, but you’ll be able to generalize to other frameworks.

About the author:

Roberto Infante is an AI innovator with deep FinTech experience, working for a London-based hedge fund. He specializes in building agentic systems for both plain vanilla and exotic quantitative analysis.