AI Agents and Applications: With LangChain, LangGraph, and MCP
Author:Roberto Infante (Author)
Publisher finelybook 出版社: Manning
Publication Date 出版日期: MEAP began July 2024 Last updated August 2025
Publication in Early 2026 (estimated)
Language 语言: English
Print Length 页数: 425 pages
ISBN-13: 9781633436541
Book Description
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.
AI Agents and Applications
1. welcome
2. 1_Introduction_to_AI_Agents_and_Applications
3. 2_Executing_prompts_programmatically
4. 3_Summarizing_text_using_LangChain
5. 4_Building_a_research_summarization_engine
6. 5_Agentic_Workflows_with_LangGraph
7. 6_RAG_fundamentals_with_Chroma_DB
8. 7_Q&A_chatbots_with_LangChain_and_LangSmith
9. 8_Advanced_indexing
10. 9_Question_transformations
11. 10_Query_generation,_routing_and_retrieval_post-processing
12. 11_Building_Tool-based_Agents_with_LangGraph
13. 12_Multi-agent_Systems
14. 13_Building_and_consuming_MCP_servers
15. 14_Productionizing_AI_Agents:_memory,_guardrails,_and_beyond
16. Appendix_A._Trying_out_LangChain
17. Appendix_B._Setting_up_a_Jupyter_Notebook_environment
18. Appendix_C._Choosing_an_LLM
19. Appendix_D._Installing_SQLite_on_Windows
20. Appendix_E._Open-source_LLMs
21. index
