Interview Guides
You're designing a pipeline that captures and serves model outputs such as embeddings, token-level scores, and structured inference metadata. Before choosing storage, you want to compare the database patterns that fit different access needs.
Explain the trade-offs between different database architectures for storing high-dimensional model output data.