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

From the creator

LangChain.js is a framework for building AI apps. Click here to get to the course's interactive challenges: https://scrimba.com/links/langchain At the end of this course, you will be able use LangChain's Expression Language to build GPT-powered chatbots that have specific knowledge about an underlying dataset. You will use text embeddings and a vector database to perform retrieval-augmented generation (RAG). The course requires an understanding of JavaScript. Here is a free JS course if you need a refresher: https://scrimba.com/learn/learnjavascript ✏️ If you have any feedback to the teacher Tom Chant, please reach out to him on X here: https://twitter.com/tpchant Also, feel free to follow Scrimba on YouTube: https://www.youtube.com/c/Scrimba ⭐️ Code ⭐️ 🔗 Download via Scrimba: https://scrimba.com/links/langchain ⭐️ Chapters ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:02:01) What you'll learn and build ⌨️ (0:04:08) Introduction to LangChain from Jacob Lee (Lead Maintainer of LangChain.js) ⌨️ (0:05:36) App Flow Diagrams ⌨️ (0:09:04) What are embeddings ⌨️ (0:15:20) Supabase Setup ⌨️ (0:19:27) Split the text ⌨️ (0:21:28) Split the text II ⌨️ (0:27:47) Upload to supabase ⌨️ (0:31:53) Starter code ⌨️ (0:33:19) Explainer The Standalone Question ⌨️ (0:35:31) Aside Prompt Templates ⌨️ (0:38:59) Aside Prompt Templates II ⌨️ (0:42:08) Adding the first chain ⌨️ (0:46:11) Retrieval ⌨️ (0:52:45) Add StringOutputParser ⌨️ (0:55:15) Fetching the answer the template ⌨️ (1:00:39) Serialize the

Published 2023-11-20 · Watch on YouTube ↗
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