Designing a Vector Search SLA (EXPLAINED)
Latency, availability, freshness, recall, and error budget definitions with realistic dependencies.
TL;DR — Quick Answer
Define SLAs per dimension: query availability (e.g., 99.9%), p99 latency (<100ms), time-to-searchable after upsert (<60s), and minimum recall@k on quarterly eval. Document dependencies (embedding API, object storage) and error budgets allowing planned index maintenance with customer communication.
The Interview Question
How do you define and commit to an SLA for vector search serving RAG or product search?
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SLASLOAvailabilityFreshnessAWSPineconeEnterprise