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DeepLearning.AI

Build LLM Apps with LangChain.js

  • up to 1 hour
  • Intermediate

Understand the fundamentals of using LangChain’s JavaScript library to orchestrate and chain different modules together. Learn the basics of loading and preparing data to provide as context to effectively customize LLM generations.

  • JavaScript
  • LangChain.js
  • Retrieval Augmented Generation (RAG)
  • Conversational retrieval systems
  • Data loading and preparation

Overview

This course will show web developers how to expand their toolkits with LangChain.js, a popular JavaScript framework for building with LLMs. It covers useful concepts for creating powerful, context-aware applications. By taking this course, you will learn to use LangChain’s underlying abstractions to build your own JavaScript apps, understand the basics of retrieval augmented generation (RAG), and have the structure of a basic conversational retrieval system that you can use for building your own chatbots.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Web Developers

Anyone with intermediate JavaScript knowledge and wants to build machine learning applications.

Software Engineers

Professionals looking to expand their toolkit with LangChain.js for building powerful LLM apps.

AI Enthusiasts

Individuals interested in learning how to create context-aware applications using JavaScript.

Learn to build powerful LLM apps using JavaScript with LangChain.js. This course covers key concepts like retrieval augmented generation and conversational retrieval systems, perfect for web developers and AI enthusiasts looking to expand their skills.

Pre-Requisites

1 / 3

  • Intermediate knowledge of JavaScript

  • Basic understanding of machine learning concepts

  • Familiarity with web development

What will you learn?

Introduction to LangChain.js
Understand the fundamentals of using LangChain’s JavaScript library to orchestrate and chain different modules together.
Data Loading and Preparation
Learn the basics of loading and preparing data to provide as context to effectively customize LLM generations.
Retrieval Techniques
Learn techniques to retrieve and present data to the LLM in useful ways for a conversational retrieval chain.
Building Conversational Retrieval Systems
Have the structure of a basic conversational retrieval system that you can use for building your own chatbots.

Meet your instructor

  • Jacob Lee

    Founding Software Engineer, LangChain

    Jacob Lee is a seasoned software engineer and architect with years of experience designing and implementing scalable systems from first principles. As a startup executive, he is comfortable leading and mentoring a team amidst uncertainty while remaining focused on broader objectives.

Upcoming cohorts

  • Dates

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Free