Build a RAG System

Ask an LLM "What was our Q3 revenue?" and it will answer with total confidence. The number might be completely invented. That's not a bug you can patch. It's how the model works. A model is a probability machine, not a database. An LLM generates the next most

8 lessons, each with runnable code in the browser.

  1. Why LLMs Make Things Up
  2. Chunking: Cutting Documents Down to Size
  3. Embeddings and the Vector Store
  4. Assembling the RAG Pipeline
  5. Wiring in the Claude API
  6. Citations and Grounding
  7. When Retrieval Fails
  8. Evaluating RAG Quality

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