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

Q3."When Nothing Matches, Say 'I Don't Know' (Top-k and Thresholds)" — which of these claims is supported by the module?

Q4.Which definition of "Turning Text Into Searchable Numbers (Embeddings)" matches what the module established?

Q5.For "Evaluating naive RAG honestly", which detail or constraint from the module is accurate?

Q6.When applying "Where the Embeddings Live (Vector Stores)" in practice, which of these holds?

Q7.Which statement about how "The system prompt for RAG — what to say" actually works is correct?

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

Q9.For "Turning Text Into Searchable Numbers (Embeddings)", which detail or constraint from the module is accurate?

Q10.Which of these correctly identifies the role of "Answering From Your Documents, Not Memory (RAG)" in the broader system?