Use case
Jev for RAG: Relevance Decisions and Answer Evaluation
A decision component can help assess or route retrieved material. It does not by itself establish that retrieval found the right documents or that…
Evaluate
Use cases
Explore where an AI component fits in a complete workflow, from source input to a checked decision or deliverable.
Define the handoffs before selecting a model
| Your task | Choose by | Check the deliverable |
|---|---|---|
| Retrieval | Relevant source passages | Check omissions before generating an answer. |
| Routing | A bounded destination or action | Provide an uncertain or unsupported route. |
| Quality gate | A decision against explicit criteria | Keep human review for disputed cases. |
Turn the shortlist into a decision
A component can return a valid result while the overall workflow fails. A routing decision based on the wrong extracted record is still wrong. Keep the original input, intermediate output and final system state together when evaluating a workflow. Start with one measurable bottleneck before adding more autonomous steps.
Keep a useful comparison record
Save the task, input version, selected product route, outcome and correction time. Mark missing evidence explicitly. A result is ready to rely on when another person can inspect why it meets the requirement, not simply when the system reports completion.
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