What the documents look like
Group-buy leader operations manage community pickup nodes and commission settlement. The work does not include cold-chain quality inspection. The documents handled day to day are leader agreements, commission tables, pickup lists, and community announcements. In a cross-border setting, one leader agreement may exist in both Chinese and a target-market language. Commission tables update by group and by day. Pickup lists change with each group's orders. These materials share three traits: short validity cycles, strong subject binding, and precise fields such as identifiers, amounts, and station codes. Semantically similar wording can point to different leaders or different periods, so a retrieval result must be traceable to a specific leader, a specific group run, and a specific date.
Constraints at the retrieval step
The knowledge base search node can associate one or more knowledge bases that use the same vector model. Bases using different vector models cannot be associated together. At this step the check is to verify the model identifier and exclude non-matching bases; it does not run cross-model retrieval to compare missed recalls. The search mode is compared across semantic, full-text, and hybrid retrieval for the test question, and no single mode is assumed to suit all materials. The reference limit is measured in tokens. The minimum relevance score takes effect only in semantic retrieval or when result reranking is used. Question optimization performs coreference resolution and question expansion. The node outputs reference content as an array, and its length can be zero, so the empty-result path still completes.
Hypothetical drill sample: a platform's group-buy leader operations staff member needs to check the language versions and commission terms of one leader agreement. The source text supplied for checking consists of three sentences: "This agreement takes effect on March 1, 2025 for Leader A, and applies to the Sunshine Garden station." "Commission is settled at 8% of the actual verified amount on the pickup list, with a settlement cycle of each group run." "If the Chinese and English versions of this agreement conflict, the Chinese version prevails." The draft sentence to be judged is: "Leader A's English version of the agreement specifies a commission rate of 8% and a settlement cycle of each group run, consistent with the Chinese version." This draft sentence requires checking whether the English version states the same rate and cycle, and whether the conflict clause gives the English version equal effect.
Configuration and implementation checks
| Configuration or check item | Hypothetical starting point for this drill | Reason and comparison method |
|---|---|---|
| Associated knowledge bases | Leader agreement base, commission table base, pickup list base, community announcement base | The four bases can be associated together only if they use the same vector model; check the vector model identifier one by one and exclude non-matching bases |
| Search mode | Hybrid retrieval | Agreement clauses contain identifiers and proper nouns; commission tables contain amounts and rates; compare semantic, full-text, and hybrid results against the test question |
| Reference limit | Hypothetical starting point of 3000 tokens | This value is a starting point for this drill, not an official default; test content completeness with agreement and list fragments of different lengths, compare against 1500 and 6000, then adjust |
| Minimum relevance score | Hypothetical starting point of 0.4 | Label relevant and irrelevant samples first, then adjust the threshold; this value takes effect only in semantic retrieval or result reranking |
| Question optimization | Enabled | Used for coreference resolution and question expansion; compare the original question with the optimized question and check whether subjects such as Leader A, the station, and the date were altered |
| Result reranking | Enabled per configuration | Reranking requires a model and is enabled per configuration; the rerank score is 0-1 and can be used for filtering |
Three common errors
- Treating a retrieval hit as authorized execution. The input "Leader A agreement" retrieves the Chinese clause, and the English version is then treated as equally valid for settling commission. Check: input the draft sentence and the three source sentences, compare whether the English version states 8% and each group run, and observe that the draft sentence is not supported when the English version does not state them.
- Treating the minimum relevance score as an entity or permission filter. The input "Leader B commission" retrieves Leader A's commission table and returns it because of a high similarity score. Check: compare the leader identifier in the returned content with the requested subject, and observe that when the subjects differ the result does not meet the checking condition and must be recorded as pending verification.
- Writing the RRF fusion of hybrid retrieval as a toggle, or mixing the reference limit with the thinking budget. Check: verify the configuration item names against the parameters listed in the documentation, and observe that RRF is a fusion process, the reference limit is measured in tokens, and these two belong to different fields from the thinking budget.
How to verify the setup
- Input the three hypothetical source sentences and the draft sentence, compare whether the English version states the commission rate and settlement cycle, and observe that the draft sentence is not supported when the English version does not state them; if the English version states the same fields with no mutually exclusive values, record it as consistent.
- Input a paper empty result
[], check whether the downstream design continues the chain with a reference length of zero, and observe whether the empty-result branch is handled normally; do not claim that a fictional rule retrieval necessarily returns[]. - Input questions for two subjects, Leader A and Leader B, compare whether the leader identifier, station, and date in the returned content match the same subject, the same period, and the same field as the request, and observe that when the subject differs or the period is missing, the result is recorded as pending verification, preserving the evidence gap.