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Retrieval-Augmented Generation

Ground a language model in your own documents: chunk, embed, retrieve, assemble and evaluate

0 of 4 lessons passed0%

0 / 12 stars

0 / 20 tricks - Trick Book
  1. 1

    Why RAG? Retrieval-Augmented Generation vs Fine-Tuning Explained

    5-stop ride5 min read

  2. 2

    RAG Chunking and Embeddings: Build a Toy Vector Search in Python

    5-stop ride6 min read

  3. 3

    RAG Retrieval, Ranking and Prompt Assembly with Citations

    5-stop ride6 min read

  4. 4

    Evaluating RAG: Retrieval Metrics, Faithfulness and Failure Modes

    5-stop ride6 min read

Each ride has 5 stops: read the trick, answer the question, ride on. Pass with 3 of 5 correct (1 star), 4 for 2 stars, all 5 for 3 stars. Progress is saved in this browser. Prefer to read first? Open the reading version of Retrieval-Augmented Generation.