A question asks for an exact invoice number embedded in a long document. Semantic retrieval misses it despite related content. Which enhancement is most appropriate?

1. Train the model only on punctuation
2. Use the smallest document ID as the answer
3. Combine keyword matching with vector retrieval
4. Remove all numbers before indexing