AI Agents and Applications

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 and document creation based on custom data are showing up everywhere. Powerful tools including open source LLMs, the Langchain tools ecosystem, and standardized protocols like MCP are driving this new gold rush. This book will help you earn your seat at the table.

AI Agents and Applications is your hands-on guide to developing cutting-edge language model solutions for real business needs. Using LangChain and LangGraph, you’ll learn how to orchestrate powerful agentic workflows and build dynamic tool-based agents that can search, summarize, and act in complex environments. The book takes you from the essential skill of prompt engineering, through advanced Retrieval Augmented Generation (RAG) techniques, all the way to deploying multi-agent systems that can leverage the latest in AI integration—including the Model Context Protocol (MCP).

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

• Prompt and context engineering for automated systems that deliver accurate, hallucination-free responses
• Advanced RAG methods for document summarization, semantic search, and robust Q&A bots
• Agentic workflows with LangGraph to orchestrate structured, multi-step processes
• Tool-based agents that dynamically adapt to user needs in real time
• Multi-agent systems for complex, real-world tasks
• MCP integration to expose, compose, and consume plug-and-play tools

No research lab or giant infrastructure needed! This book’s practical approach, clear diagrams, and abundant code samples empower you to build, refine, and deploy AI applications with confidence.