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Learning LangChain (Building AI and LLM Applications with LangChain and LangGraph)

List Price: $79.99
SKU:
9781098167288
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  • Product Details

    Author:
    Mayo Oshin, Nuno Campos
    Format:
    Paperback
    Pages:
    294
    Publisher:
    O'Reilly Media (March 25, 2025)
    Language:
    English
    ISBN-13:
    9781098167288
    ISBN-10:
    1098167287
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260713163322-20260713.xml
    Folder:
    TWO RIVERS
    List Price:
    $79.99
    Country of Origin:
    United States
    Pub Discount:
    60
    Case Pack:
    13
    As low as:
    $68.79
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Imprint:
    O'Reilly Media
    Weight:
    16.8oz
  • Overview

    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