Vector Index Deployment Quiz

What you'll be asked

1. What is the primary purpose of a vector index in a GenAI application?
2. When deploying a vector index for a production RAG system, which factor most significantly impacts the 'Recall' metric?
3. In a GenAI infrastructure, what is the trade-off between using an 'In-memory' vector index versus a 'Disk-based' vector index?
4. Why is it important to perform 're-indexing' in a vector database when the underlying embedding model version is updated?
5. You are deploying a distributed vector index for a massive dataset with high concurrency. Which configuration strategy best optimizes for both latency and scalability?

Answers and explanations come after you submit.