← All courses
$20

RAG in 60 Minutes

Build a question-answering system over your own documents. Upload, chunk, embed, search, and generate cited answers — the complete RAG pipeline.

"Ask questions about your company handbook and get cited answers"

6 Modules

Each module builds on the previous one. By the end, you have a complete production system.

  1. 1

    What is RAG?

    Understanding retrieval-augmented generation

  2. 2

    Upload & Chunk

    Document splitting with overlap

  3. 3

    Embed & Store

    Vector embeddings in pgvector

  4. 4

    Search & Retrieve

    Semantic search with relevance scoring

  5. 5

    Generate Answers

    LLM answers grounded in your docs

  6. 6

    Add Citations

    Source attribution and confidence scores

Production patterns you'll master

Document ChunkingEmbeddingsVector SearchContext AssemblyCitation

Synthetic data included

  • Company handbook (PDF)
  • FAQ documents (Markdown)
  • Product docs (JSON)
  • Policy updates (text)
  • Meeting notes

What you walk away with

Shareable portfolio

A public URL showing your module timeline, patterns mastered, and completion status.

All the code

Download everything as a ZIP — pipelines, guardrails, deployment configs. Yours forever.

Module walkthrough

Each module documented with deliverables and the production pattern you implemented.

Ready to build your rag in 60 minutes?

First course free. $20 per course after that.