Learning LangChain (Paperback)

Mayo Oshin

ISBN 10: 1098167287 / ISBN 13: 9781098167288

Published by O'Reilly Media, Sebastopol, 2025

About this Item

Paperback. If you're looking to build production-ready AI applications that can reason and retrieve external data for context-awareness, you'll need to master--;a popular development framework and platform for building, running, and managing agentic applications. LangChain is used by several leading companies, including Zapier, Replit, Databricks, and many more. This guide is an indispensable resource for developers who understand Python or JavaScript but are beginners eager to harness the power of AI.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 dataDevelop and deploy AI applications that interact intelligently and contextually with usersMake use of the powerful agent architecture with LangGraphIntegrate and manage third-party APIs and tools to extend the functionality of your AI applicationsMonitor, test, and evaluate your AI applications to improve performanceUnderstand the foundations of LLM app development and how they can be used with LangChain 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781098167288

Bibliographic Details

• Title: Learning LangChain (Paperback)
• Publisher: O'Reilly Media, Sebastopol
• Publication Date: 2025
• Language: English
• ISBN 10: 1098167287
• ISBN 13: 9781098167288
• Binding: Paperback
• Condition: new

About this title

Synopsis

If you're looking to build production-ready AI applications that can reason and retrieve external data for context-awareness, you'll need to master--;a popular development framework and platform for building, running, and managing agentic applications. LangChain is used by several leading companies, including Zapier, Replit, Databricks, and many more. This guide is an indispensable resource for developers who understand Python or JavaScript but are beginners eager to harness the power of AI.

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 Authors

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).

Nuno Campos is a founding software engineer at LangChain, Inc. Nuno has a decade of experience as a Python and JavaScript software engineer, architect and open-source maintainer. He has worked for various tech startups in software engineering and data science roles. He holds an MSc in Finance.