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Video course · 6 chapters · 111 min · certificate

Build and Deploy a RAG Chatbot with JavaScript, LangChain.js, Next.js, Vercel, OpenAI

Build and deploy a Formula 1 RAG chatbot in JavaScript: what RAG is, prerequisites and vector embeddings, DataStax Astra DB as the vector database, OpenAI setup, and a full Next.js + LangChain.js build deployed on Vercel.

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What you'll learn

  • Explain retrieval-augmented generation
  • Understand vector embeddings
  • Set up Astra DB as a vector store
  • Use OpenAI for embeddings and chat
  • Build a RAG chatbot with Next.js and LangChain.js
  • Deploy on Vercel

Chapters

6 chapters · 110:36
  1. 4:01 01Intro Members Introduction A chatbot on your data.
  2. 2:20 02RAG Members What is RAG? Extra context.
  3. 3:01 03Embeddings Members Prerequisites and vector embeddings Setup.
  4. 2:20 04Astra DB Members DataStax vector database Dashboard.
  5. 2:31 05OpenAI Members OpenAI API keys.
  6. 96:23 06Build Members Build the F1 RAG chatbot End to end.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

Web DevelopersFull-Stack DevelopersSoftware EngineersBackend DevelopersSoftware DevelopersWebsite DevelopersAI EngineersFrontend DevelopersComputer Science StudentsMachine Learning Engineers