Learning Langchain - Building AI and LLM Applications with Langchain and Langgraph

>
Authors Mayo Oshin and Nuno Campos demystify the use of LangChain through practical insights and in-depth tutorials. Starting with basic concepts, this book shows you step-by-step how to build a production-ready AI agent that uses your data.

• Harness the power of retrieval-augmented generation (RAG) to enhance the accuracy of LLMs using external up-to-date data
• Develop and deploy AI applications that interact intelligently and contextually with users
• Make use of the powerful agent architecture with LangGraph
• Integrate and manage third-party APIs and tools to extend the functionality of your AI applications
• Monitor, test, and evaluate your AI applications to improve performance
• Understand the foundations of LLM app development and how they can be used with LangChain
  
  

  About the author

  
  
  
  
  
  
  
  
  
  Mayo Oshin is a tech entrepreneur, AI advisor and angel investor, specializing in AI apps trained on private data. Mayo was an early developer contributor and advocate for the open source LangChain library and an early pioneer in the popular AI 'chat' with data movement (5+ million people reached through his thought-leadership ideas so far).
  
  Mayo has consulted with, advised, and trained hundreds of engineers and product managers at various leading institutions, including Amazon, LinkedIn, Evercore, Visa, and BCG.
  
  You can learn more about him at his website, mayooshin.com, and get his latest ideas on AI and technology on X (https: //x.com/mayowaoshin).
  
  

Product details

• Authors: Nuno Campos, Mayo Oshin, Nuno Campos, Mayo Oshin
• Publisher: O'Reilly
• Languages: English
• Product format: Paperback / Softback
• Released: 25.03.2025
• EAN: 9781098167288
• ISBN: 978-1-0981-6728-8
• Dimensions: 178 mm x 233 mm x 15 mm
• Weight: 514 g
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; machine learning, BUSINESS & ECONOMICS / Customer Relations, Web Services, Mathematical theory of computation, Customer services, Natural language & machine translation, COMPUTERS / Data Science / Machine Learning, COMPUTERS / Internet / Web Services & APIs, Natural language and machine translation