What the documents look like
Violation appeals for livestream commerce deal with penalties that have already been issued. The platform violation center produces a violation notice. The livestream replay supports locating the specific segment. The product qualification library and customer service records add supporting evidence. The appeal statement carries the reasoning. In cross-border work, one batch of material can contain a Chinese notice, foreign-language qualification documents and multilingual customer service records, so retrieval needs to match across languages. Material collection is irregular and each violation triggers one round of gathering. These characteristics require indexes that cover multilingual and multimodal content, and retrieval results that can be traced back to the source text for checking.
Constraints at the vector indexes step
Knowledge bases associated for one retrieval must use the same vector model. Check the actual model and the input type first. One source data block can be linked to multiple indexes, and the index content and the source text are checked separately. Index content is built from complete and focused information; retrieval coverage and index length are weighed against the sample. Image retrieval also depends on whether image descriptions or image vectors were generated at ingestion time. Uploading an image at query time is not sufficient to hit a match. Semantic retrieval can understand across multiple languages and depends on model training quality, so precision is unstable. Full-text retrieval suits numbers, models and proper nouns. Hybrid retrieval merges multiple result paths through RRF, and reranking is enabled according to settings. Minimum relevance takes effect only under semantic retrieval or result reranking and acts as a filter threshold.
Hypothetical paper exercise sample
The following is paper exercise material, not a real record. Source text one (violation notice): "On 12 March 2025, the livestream room of Shop A was penalized because product qualification display was incomplete, with a three-day ban on livestreaming." Source text two (product qualification): "The quality inspection report for this product is valid until 30 June 2025, report number QC-2025-0312." Draft sentence to be assessed: "This shop completed the appeal on 13 March 2025 and the penalty was revoked." Assessment point: the source material states only the penalty and the qualification validity period. It does not state that an appeal was submitted or that a revocation result occurred, so the facts asserted in the draft sentence are not supported.
Configuration and implementation checks
| Configuration item | Hypothetical starting point for this exercise | How to check |
|---|---|---|
| Associated knowledge bases | Two libraries using the same vector model | Check that model identifiers match; exclude those that do not |
| Retrieval mode | Hybrid retrieval | Observe semantic and full-text recall results together |
| Minimum relevance | Starting point 0.3, because the sample contains short multilingual sentences | Compare against 0.5 and compare the relevance of the cited source text |
| Citation limit | Starting point 2000 tokens | Compare against 1000 and observe whether key sentences are truncated |
| Question optimization | Not enabled for this sample | The question already contains subject and date; compare elapsed time |
| Reranking | Not enabled for this sample | Few candidates; observe whether ordering is already sufficient |
These values are hypothetical starting points for this exercise, not official defaults. The settings in the table are configurable fields or manual checking actions. RRF is a merging process for hybrid results, not a switch. Business revocation, appeal submission and penalty lifting require separate system implementation; retrieval and forms do not constitute authorization.
Three common errors
- Treating an uploaded image as an established image index. The input is a query-side image. Compare whether an image description or image vector index was generated at ingestion time, and observe whether image-to-image search returns the source text corresponding to that image. An empty result when the index is missing is expected.
- Using a vector score to infer permissions or entity isolation. The input is a question about one shop. Compare whether the recalled content belongs to that shop's scope and observe whether records of other entities appear. Relevance does not perform permission filtering; out-of-scope results need to be checked at the business layer.
- Treating a pending appeal as a completed revocation. The input is the draft sentence and the source text. Compare whether subject, date and field match, and observe whether the material states a revocation result. When it is not stated, record it as unsupported, not as a contradiction.
How to verify the setup
- Input source text one and the draft sentence. Compare the three fields of penalty date, shop subject and revocation status, and observe whether the revocation result asserted in the draft sentence appears in the source text. The source text does not state a revocation, so the judgment is unsupported.
- Input source text two and a question about the qualification validity period. Compare the report number and validity period fields, and observe whether retrieval returns that source passage. Returning the passage with a matching number satisfies the check; returning a different number requires checking the index content.
- Input an empty-result scenario. Use the paper input [] to check the downstream design and observe whether the chain proceeds when the citation content length is 0. The chain proceeding satisfies the check; do not infer that a fictional rule must return an empty array. Libraries with different vector models cannot be associated together; check identifiers first and exclude those that do not match.