Build LLM Apps with LangChain.js
Instructors: Jacob Lee
- Intermediate
- 1 Hour 5 Minutes
- 8 Video Lessons
- 7 Code Examples
What you'll learn
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.
Learn techniques to retrieve and present data to the LLM in useful ways for a conversational retrieval chain.
About this course
JavaScript is the world’s most popular programming language, and now developers can program in JavaScript to build powerful LLM apps.
This course will show webdevs how to expand their toolkits with LangChain.js, a popular JavaScript framework for building with LLMs, and will cover 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)
- Have the structure of a basic conversational retrieval system that you can use for building your own chatbots
Who should join?
Anyone with intermediate JavaScript knowledge and wants to build machine learning applications.
Course Outline
8 Lessons・7 Code ExamplesIntroduction
Video・2 mins
Building Blocks
Video with code examples・13 mins
Loading and preparing data
Video with code examples・8 mins
Vectorstores and embeddings
Video with code examples・5 mins
Question answering
Video with code examples・8 mins
Conversational question answering
Video with code examples・15 mins
Shipping as a web API
Video with code examples・9 mins
Conclusion
Video・1 min
Next Step
Code examples・1 min
Instructor
Build LLM Apps with LangChain.js
- Intermediate
- 1 Hour 5 Minutes
- 8 Video Lessons
- 7 Code Examples
Course access is free for a limited time during the DeepLearning.AI learning platform beta!
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