Learning LangChain

Building AI and LLM Applications with LangChain and LangGraph

Author: Mayo Oshin and Nuno Campos

Paperback

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

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Summary

Description

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.

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.
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.