For business
What it is
What reviewers correct flows back into the system: better examples, updated knowledge, re-indexed documents.
Why it matters
The system improves with use instead of standing still after launch.
Risk without it
The same mistakes repeat, and reviewers stop trusting it.
For engineers
How it works
Reviewer edits and ratings become evaluation cases and, where appropriate, knowledge-base updates; changes trigger re-chunking and re-embedding of the affected documents; prompt changes pass the evals before release.
Typical stack
- feedback store
- incremental re-index jobs
- eval pipeline
Pitfalls & trade-offs
- Not every edit is a lesson. Triage them.
- Re-index incrementally.
- Show reviewers that their feedback landed.
Example pattern · fictional data · not a client system