Chapter 12 Quiz12 min check

What Embeddings Are

Check whether you understand embeddings as practical retrieval tools, not magic.

Quiz A: Concepts

1 An embedding is a numeric ____ representation.

2. What do embeddings help retrieve?

3 Cosine similarity compares the angle or direction between ____.

4. Why is sparse retrieval useful?

5 Changing embedding models usually requires re-____.

6. What does vector similarity prove?

7 Query and document vectors must come from compatible embedding ____.

8. What should you store with vectors?

9 A retrieval eval often measures Recall@____.

10. When might hybrid retrieval be better than dense-only retrieval?

Perfect score. You understand embeddings like a builder.