What the documents look like
Presale group-buy operations collect orders first and organize procurement and fulfillment afterward. Day-to-day documents include the presale product table, the group-formation result, the procurement plan, and the cut-off notice. In cross-border material and multilingual retrieval work, one product may carry a Chinese name, a foreign-language label, and an origin statement at the same time. The retrieval scope is checked against the selected knowledge bases and the material version before any search runs. Material updates occur daily and per session. Citation output is an array, and the array length may be zero.
Constraints at the citation tracing step
Retrieval recalls candidate content. It does not verify whether a material is valid or whether authorization exists. Only knowledge bases that share the same vector model can be associated together; libraries on different vector models cannot be associated, so identifiers are checked first and non-matching libraries are excluded. The citation limit is measured in tokens. The minimum relevance value takes effect only under semantic retrieval or result reranking, and neither setting performs permission or entity isolation. The node outputs a citation array, and an empty array does not mean the workflow has errored or terminated; whether downstream steps continue depends on the orchestration design.
Hypothetical drill sample: a group-buy platform operator holds three materials. Material one is an excerpt of the presale product table stating "product code A-1001, Chinese name frozen shrimp meat, foreign label Shrimp Meat, origin Thailand, cut-off time 2026-03-10 18:00." Material two is an excerpt of the group-formation result stating "A-1001 formed quantity 320 units, status cut-off completed." Material three is a draft cut-off notice, one sentence of which reads "this session A-1001 has completed procurement ordering, and the supplier confirms supply." The pending request: place these three materials into the cross-border material retrieval library and cite that sentence from material three in the answer as evidence of supply.
Configuration and implementation checks
The table below lists officially documented settings or implementation checks tied to this feature and primary task, using the sample above. The values are starting points for this hypothetical drill, not official defaults.
| Configuration item | Hypothetical starting point | Reason and comparison method |
|---|---|---|
| Associated knowledge bases | Select only libraries sharing the same vector model as the sample materials | Documentation states that only same-vector-model libraries can be associated; check each library identifier and exclude libraries on other vector models |
| Search mode | Hybrid retrieval | The sample contains code A-1001, and full-text retrieval helps exact matching; compare recalled content against a pure semantic retrieval run |
| Citation limit | Set to a token amount sufficient to cover the three material excerpts | Documentation controls citation limit in tokens; compare against the actual length of the sample materials to confirm no truncation |
| Minimum relevance | Keep the default first, then adjust after observation | Documentation states the value takes effect only under semantic retrieval or result reranking; compare against recalled results item by item |
| Result reranking | Use when a rerank model is available and enabled by configuration | Documentation states reranking reorders results and yields a 0-1 score; compare ordering against results without reranking |
| Citation handoff | Pass retrieval output to the answer step and check each item against the source text | Documentation states the output is a citation array; check whether the answer matches the cited source text |
Three common errors
- Treating the draft sentence in material three as a completed procurement order and supply confirmation. The sentence sits in a draft cut-off notice and carries no signature or effective status. It must be compared with materials one and two on the same subject, same period, and same field, and it currently remains unverified.
- Treating the minimum relevance value or semantic recall as a permission or entity filter. Documentation describes the value as a filter threshold that does not perform permission isolation. The same-vector-model requirement for associated libraries does not extend to external systems.
- Treating an empty citation array as a workflow error or termination. Documentation states the length may be zero, and the empty array still passes through the output path. Whether downstream steps continue depends on the orchestration design.
How to verify the setup
- Input the three materials and the pending request above, then compare the draft sentence in material three against the fields in materials one and two. Material one states the cut-off time and formed quantity; material two states the status cut-off completed. Neither states that procurement ordering is complete or that the supplier confirms supply. If the answer uses the draft sentence as evidence of supply, the condition is not met; the expected outcome is to mark it unverified and keep the evidence gap.
- Input the same materials and run hybrid retrieval and pure semantic retrieval separately, then compare whether the recalled content contains code A-1001. If hybrid retrieval matches while semantic retrieval does not, record the actual observation. A first-item match or full recall is not guaranteed.
- Input an explicit paper empty result
[]and check the design of the downstream answer step. If the downstream step treats the empty array as an error and terminates, the condition is not met; the expected outcome is to continue or indicate no cited content according to the orchestration design.