What You'll Learn
- Understand the fundamentals of using LangChain’s JavaScript library to orchestrate and chain modules.
- Learn to load and prepare data effectively for providing context to customize LLM responses.
- Apply techniques to retrieve and present data effectively for a conversational retrieval chain.
About This Course
JavaScript’s popularity makes it a versatile tool, and LangChain.js allows developers to build powerful applications with LLMs. This course
empowers web developers to use LangChain.js, a popular JavaScript framework, to create context-aware, robust LLM applications.
- Use LangChain’s core abstractions to build your JavaScript applications.
- Learn the fundamentals of retrieval augmented generation (RAG).
- Structure a basic conversational retrieval system for building custom chatbots.
By the end of this course, you will have a solid foundation for building LLM-powered applications with LangChain.js and a starting framework
for chatbots and conversational applications.
Course Outline
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Introduction
Introduction to LangChain.js and its applications in JavaScript-based LLM applications.
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Building Blocks
Overview of core components and abstractions in LangChain.js with hands-on code examples.
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Loading and preparing data
Techniques for loading, preprocessing, and structuring data for optimized LLM response.
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Vectorstores and embeddings
Working with vector stores and embeddings to enhance retrieval capabilities.
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Question answering
Implementing basic question-answering workflows within LangChain.js.
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Conversational question answering
Techniques for building conversational question-answering systems and maintaining context.
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Shipping as a web API
Packaging LangChain.js applications as APIs for deployment in web environments.
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Conclusion
Summary of key concepts and resources for further exploration.
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Next Step
Code examples and guidance for applying learned concepts to personal projects.
Who Should Join?
This course is ideal for those with intermediate JavaScript knowledge who want to create machine learning applications using LangChain.js.