A related passage is only the beginning
Imagine asking an assistant whether a purchase is still eligible for a return. It finds a document about returns and produces a confident answer. The topic is right. But did the passage include the return window? The condition of the item? An exception for the type of purchase?
This is an illustrative example, but the distinction is practical: finding a related document and finding enough information to answer a question are different goals. A system can do the first and still leave the user unable to make a decision.
When you evaluate a search experience for AI, read the retrieved material before reading the generated answer. Ask what a careful person could conclude from that material alone. Missing conditions become easier to spot when polished prose is not filling the gaps.
Build a small, demanding question set
Start with questions that represent actual tasks in your product. Pair each one with the source passages a reviewer would need to answer it. Add near misses: the right topic but the wrong product, an old policy beside a current one, or a question that depends on a precise name.
Include questions the collection cannot answer. Those cases help you design what the application should do when evidence is missing: ask a follow-up, show the closest relevant source with appropriate context, or explain that it has not found enough information.
Published benchmarks are useful for orienting a decision, but your evaluation should reflect your collection and your users. The BEIR benchmark was designed around diverse retrieval tasks precisely because one evaluation setting cannot capture every kind of search.
Keep the path back to the source
WonderSearch returns relevant passages with source references so an application can put retrieved information to work. An AI assistant can use that context; a person can use the reference to inspect where it came from. Neither removes the need to check that a source supports the final answer.
Make that inspection easy. Put the reference near the claim it supports. Show enough surrounding text to preserve qualifications. Give people a way to open the source when a decision deserves a closer look.
The aim is a shorter path from a question to something useful. Retrieval contributes by bringing the right material into view. The surrounding product contributes by making the answer understandable, the evidence inspectable, and uncertainty clear when the collection does not settle the question.