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Learn LangChain.js - Build LLM apps with JavaScript and OpenAI

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Overview

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This course teaches learners to build an LLM application with LangChain.js and JavaScript. It covers embeddings, text splitting, Supabase storage, retrieval chains, prompt templates, runnable sequences, UI integration, and memory.

Syllabus

⌨️ Introduction
⌨️ What you'll learn and build
⌨️ Introduction to LangChain from Jacob Lee Lead Maintainer of LangChain.js
⌨️ App Flow Diagrams
⌨️ What are embeddings
⌨️ Supabase Setup
⌨️ Split the text
⌨️ Split the text II
⌨️ Upload to supabase
⌨️ Starter code
⌨️ Explainer The Standalone Question
⌨️ Aside Prompt Templates
⌨️ Aside Prompt Templates II
⌨️ Adding the first chain
⌨️ Retrieval
⌨️ Add StringOutputParser
⌨️ Fetching the answer the template
⌨️ Serialize the docs
⌨️ Aside RunnableSequence
⌨️ Aside RunnableSequence 2
⌨️ Aside RunnableSequence 3 RunnablePassthrough
⌨️ Super Challenge - add the RunnableSequence
⌨️ Super Challenge - solution
⌨️ Wire up the UI
⌨️ Setting up the memory
⌨️ Super Challenge Wire up the memory
⌨️ Performance Issues Check-list
⌨️ Outro

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