Learn RAG on Scrimba
Quick Answer: Pro, 94-minute intermediate course. Build a Retrieval Augmented Generation (RAG) pipeline so LLMs answer from your own documents. Best for developers building AI search or knowledge tools.
Last reviewed: March 2026.
Learn RAG
ProLearn how to improve the accuracy and reliability of LLM-based apps by implementing Retrieval-augmented Generation (RAG) using embeddings and a vector database.
View on Scrimba (opens in a new tab)About This Course
Learn how to improve the accuracy and reliability of LLM-based apps by implementing Retrieval-augmented Generation (RAG) using embeddings and a vector database.
This Intermediate-level course covers 94 min of content. A Scrimba Pro subscription is required for full access.
- Duration: 94 min
- Level: Intermediate
- Access: Scrimba Pro required
What Makes This Course Distinctive
RAG is the bridge between “generic model answers” and products that cite your help docs, internal wikis, or customer content. You work through embeddings and a vector database so retrieval failures and context limits show up where they belong: in code you can inspect. The PopChoice-shaped project gives you a concrete artifact for portfolios and interviews.
Teams hiring for AI engineering roles routinely list retrieval and grounding. Total compensation for those roles often reaches $140,000-$180,000+ in competitive markets. This course keeps you in JavaScript so web developers do not have to context-switch into a Python-only notebook workflow to learn the idea.
Scrimba’s interactive lessons help because RAG bugs are subtle: wrong chunking, bad similarity scores, or prompts that ignore retrieved text. You tweak, rerun, and watch the pipeline respond inside the player. Pair it with the AI Engineer Path if you want agents and deployment next.
What you'll build
- PopChoice — a RAG-style app that grounds LLM answers in your data so retrieval bugs show up in code you control (chunking, similarity, prompts).
Prerequisites
Basic knowledge of JavaScript and basic API concepts is recommended before starting this course.
Who Is This Course For?
Best for: web developers (JavaScript/React) who want to build AI-powered features. Not ideal if you have no programming background.
Part of These Learning Paths
Choose This If
Choose this course if:
- You want document-grounded answers in JS apps without outsourcing retrieval to a black-box SaaS only.
- You understand chat APIs and now need indexes, embeddings, and query flow that you own.
- You are aiming at $140,000-$180,000+ AI engineer roles where “RAG” shows up in real job posts.
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This course requires a Scrimba Pro subscription. Pro gives you access to 86+ courses, a certificate of completion, and access to the Discord community. Check the pricing page for current rates.
The course contains 94 min of interactive screencasts. Since you can pause and code along at your own pace, most learners finish in 2-4 weeks of regular practice.
You will build **PopChoice**, a project that implements retrieval-augmented generation with embeddings and a vector database in JavaScript.
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