What the documents look like
Livestream violation appeals deal with penalties that have already been issued. The material set revolves around violation notices, livestream recordings, product qualification files and appeal statements. In store service and internal training, these materials tend to be gathered by different roles after a penalty occurs, so formats vary and timestamps are scattered. The knowledge base retrieval step faces this kind of unstructured, irregularly updated collection, and the retrieved result determines which passage of source text a training answer or store inquiry response will cite.
A violation notice typically names a case number, a session time, the specific defect found, and a submission deadline for the appeal statement. A livestream recording covers the session itself. Product qualification files establish what the product was permitted to display. The appeal statement is the operator's own explanation. These four document types answer different questions, and a retrieval step that returns one type cannot substitute for another.
Constraints at the retrieval step
Materials come into existence only after a penalty is issued, so retrieval cannot assume the library already holds matching content. The knowledge base search node can associate one or more knowledge bases that use the same vector model. Knowledge bases built on different vector models cannot be associated together; the vector model identifier must be checked first and non-matching libraries excluded, with the actual observation recorded. Cross-model retrieval is not run to compare missed recalls.
Reference content is output as an array and its length can be zero, which means the downstream path still runs even when nothing is found. Search mode is compared across semantic, full-text and hybrid retrieval for the test question, without presuming that one mode suits all material. The minimum relevance value takes effect only under semantic retrieval or when result reranking is used. Question optimization handles coreference resolution and question expansion. Retrieval itself does not carry permission or entity isolation.
Hypothetical exercise sample: a store compliance role keeps a paper record whose source text reads: "On 12 March 2025, platform violation notice number A-0312 determined that the livestream session at 20:00 on 10 March displayed incomplete product qualification, and required an appeal statement to be submitted by 20 March." A separate draft sentence awaits judgment: "The store completed the appeal on 15 March and received platform approval." The record contains no submission log and no platform reply. The judgment is unsupported; both submission and approval remain to be verified.
Configuration and implementation checks
| Configuration item | Hypothetical starting point for this exercise | Reason for the choice and comparison object |
|---|---|---|
| Associated knowledge bases | Associate only the single library holding violation notices and appeal statements | Check that the vector model identifier matches, then exclude libraries on other models |
| Search mode | Hybrid retrieval | Compare against semantic-only and full-text-only for hits on numbered content |
| Reference limit | Starting point 800 tokens | Test content completeness with short and long materials, compare against 400 and 1200 |
| Minimum relevance | Starting point 0.4 | Label relevant and irrelevant samples first, then compare against 0.3 and 0.5 |
| Question optimization | Enabled for multi-turn follow-up scenarios | Compare the original question with the optimized question, check whether the subject was altered |
| Result reranking | Enabled when candidates are numerous | Requires a rerank model enabled by configuration, compare against no reranking |
Three common errors
- Treating a retrieval hit as an authorization conclusion. Input is the sample source text above; if "violation notice number A-0312" is recalled, compare the draft sentence "completed the appeal and received platform approval" against the source text, observe whether a submission log or platform reply appears anywhere in the material, and record the gap as pending verification when neither is present.
- Treating minimum relevance as an entity or permission filter. Input is a query term that also matches an unrelated store; compare whether returned content can still include passages about other entities, and observe that this parameter takes effect only under semantic retrieval or reranking and does not perform isolation.
- Treating RRF as a switch. Input is a hybrid retrieval request; compare the semantic and full-text result paths, and observe that RRF is a fusion process with no separate enablement item.
How to verify the setup
- Input the sample source text and the draft sentence, compare the draft's "completed the appeal and received platform approval" against the source's "required an appeal statement to be submitted by 20 March," and observe whether any submission or approval evidence appears. When none appears, output pending verification; the condition is met when the gap is explicitly recorded.
- Input a query containing number A-0312, compare hybrid retrieval against semantic-only retrieval for hits, and observe whether numbered content is recalled. A first-position hit or full recall is not guaranteed.
- Input a paper record of empty result [], compare whether the downstream design accepts a reference array of length zero, and observe whether the path runs through. No claim is made that a fictional rule search necessarily returns [].