Vector search teams usually define performance with query latency, recall, and throughput. Those measures matter, but they can all look healthy while the system returns a stale version of a document that changed minutes ago.
Vector search teams usually define performance with query latency, recall, and throughput.
Between a database write and a searchable embedding sit event capture, transport, chunking, model inference, index mutation, and cache invalidation.
Those measures matter, but they can all look healthy while the system returns a stale version of a document that changed minutes ago.
The page is ready to read now. The fuller skim-friendly version will appear here automatically.
Vector search teams usually define performance with query latency, recall, and throughput. Those measures matter, but they can all look healthy while the system returns a stale version of a document that changed minutes ago. Between a database write and a searchable embedding sit event capture, transport, chunking, model inference, index mutation, and cache invalidation.
Freshness is the end-to-end property produced by that entire chain.
Open the app view to save this story, compare related coverage, and continue from the same source.