Enrichment with Skills Quiz

What you'll be asked

1. In the context of Retrieval and Grounding, what is the primary purpose of an 'enrichment' step?
2. Which of the following is a common technique used to enrich extracted entities during a grounding pipeline?
3. When implementing a grounding pipeline, why might you choose to enrich chunks with document-level metadata (e.g., source file name, date) rather than just raw text?
4. You are building a pipeline where the retrieval results are often too brief for the LLM to answer accurately. Which enrichment strategy would best address this?
5. During a high-throughput extraction task, you notice that enrichment via external API calls (e.g., looking up product specs in a live database) is creating a bottleneck. What is the most effective architectural solution?

Answers and explanations come after you submit.