Which data quality factors should you review before grounding?
Why B is the answer
Accuracy, relevance and timeliness
Grounding works only as well as its data, so review it for accuracy, relevance and timeliness first.
In detail
- Accuracy, relevance and timeliness decide grounding quality.
- Check these factors again on a schedule.
Use case
An illustrative scenario, not a real incident.
A team reviews its knowledge base and removes outdated, duplicate and off-topic files before any agent uses them.
See it in different ways
flowchart LR
A["Business data"] --> B{"Accurate, relevant, timely?"}
B -->|No| C["Clean it first"]
B -->|Yes| D["Check security and permissions"]
D --> E["Ground the agent"]mindmap
root((Grounding data))
Accuracy
Relevance
Timeliness
Cleanliness
Availability
Access controlflowchart LR S0["Check accuracy"] --> S1["Check relevance"] --> S2["Check timeliness"] --> S3["Approve the source"]
Key point: Review accuracy, relevance and timeliness.
Why the other options are wrong
- A. The file format and page count of each document
- Format matters for parsing, but it does not measure quality.
- C. File name length and folder depth
- Folder depth does not measure quality.
- D. The number of authors of each document
- Author count does not measure quality.