Quiz me — Answer From Your Docs, Not Guesses: Naive RAG

Q1.Which fact about "Three Ways to Measure 'Similar' (Cosine, Dot Product, Euclidean)" matches the mechanism the module covered?

Q2.For "Turning Text Into Searchable Numbers (Embeddings)", which detail or constraint from the module is accurate?

Q3.When applying "Where the Embeddings Live (Vector Stores)" in practice, which of these holds?

Q4.Which statement about how "Answering From Your Documents, Not Memory (RAG)" actually works is correct?

Q5.Which statement about how "The system prompt for RAG — what to say" actually works is correct?

Q6.Which of these correctly identifies the role of "Answering From Your Documents, Not Memory (RAG)" in the broader system?

Q7.For "Evaluating naive RAG honestly", which detail or constraint from the module is accurate?

Q8.When applying "The failure modes of naive RAG" in practice, which of these holds?

Q9.Which definition of "Turning Text Into Searchable Numbers (Embeddings)" matches what the module established?

Q10."When Nothing Matches, Say 'I Don't Know' (Top-k and Thresholds)" — which of these claims is supported by the module?