What the documents look like
Fresh-food weighing and sorting happens inside the warehouse fulfilment stage. The central facts are weight and specification, and the working materials come from WMS, electronic scales, the order system, and quality-inspection photos. The documents handled each day include sorting task sheets, weighing labels, short-weight compensation forms, and quality-inspection records. Updates arrive per order and per day.
For contract and transaction material comparison, these materials have to be separated by subject, object, status, and validity scope. The specification and weight on a weighing label are one field; the task status on a sorting task sheet is another field. One cannot stand in for the other. A short-weight compensation form carries a compensation request, and a quality-inspection record carries a quality determination. The authorization state of each of these materials has to be confirmed separately. Retrieval and forms do not perform authorization. Whether a material is approved, effective, or executed must be read from the material text itself.
Constraints at the document chunking step
Chunking follows the structure of the material. Conditions, explanations, and the content they constrain cannot be split apart. One group of source data can map to more than one index, and source data must be kept distinct from retrieval indexes. A retrieval result reflects similarity; it does not constitute a permission boundary or an entity separation. Semantic recall and the minimum relevance value are filter thresholds, and they do not exclude unrelated businesses or unauthorized records.
Hybrid search merges multiple result paths through RRF. RRF is a fusion process; it is not a switch. Image retrieval requires image input and model capability, and reranking requires a model and must be enabled in settings. These optional paths do not all run on every request. Libraries built on different vector models cannot be associated together; identifiers are checked and non-matching libraries are excluded, without running cross-model retrieval to compare missed recalls. An empty result can support a downstream design check against a clearly stated paper input, and no claim is made that a fictional-rule search must return an empty array.
Configuration and implementation checks
The table below lists implementation checks for this page's sample. The values are hypothetical starting points for this trial, used for comparison against retrieval observations. They are not official defaults.
| Check item | Hypothetical starting point for this trial | Reason and comparison method |
|---|---|---|
| Search mode | Hybrid search | The sample contains both an identifier and a natural-language question; RRF merges semantic and full-text results, compared against the recall count from semantic search alone |
| Reference limit | Hypothetical 2000 tokens | The sample materials are short; this value is used to observe whether the cited content fully covers the weighing-label fields, compared against coverage at 1000 tokens |
| Minimum relevance | Hypothetical 0.4 | The sample contains an exact identifier; this value is used to observe the candidate count after filtering, compared against the candidate count at 0.2 |
| Question optimization | Off for this trial | The sample question has a complete subject; enabling it adds one model call, compared against the latency and recall change when enabled |
| Result reranking | Not enabled for this trial | The sample has few candidates; enabling it requires model support, compared against the ranking scores when enabled |
| Chunk granularity | By material field boundary | The sample contains subject, object, status, and validity scope; splitting by field boundary is compared against recall completeness when splitting by fixed length |
Three common errors
- Treating retrieval similarity as a permission filter. The input is a query containing a weighing-label identifier. The comparison is between the retrieved content and the authorization state field in the source material. The observable result is whether the returned content includes an unauthorized record. A similarity score does not perform entity or permission separation. If an unauthorized record appears, the retrieval step has not made a permission judgment, and the downstream implementation must supply it.
- Treating a pending-review status as approved. The input is a handover request for a short-weight compensation form. The comparison is between the status word in the request text and the status field in the source material. The observable result is whether the request is treated as executed. Pending review does not show a lack of operating permission, and it does not equal approval. Only text that states approval supports that finding.
- Treating a successful upload as an updated index. The input is a revised sorting task sheet. The comparison is between the material version identifier and the version identifier returned by retrieval. The observable result is whether retrieval returns the old version content. A successful upload and the training index state are two separate matters, and the actual training and index state must be checked.
How to verify the setup
The following verification uses a hypothetical drill sample. No actual test is claimed.
Hypothetical drill sample: the source material has three sentences. Sentence one: "Sorting task sheet A-01, subject is front warehouse A, object is the weighing and sorting of order 1001, status is completed, validity scope is 1 March 2025." Sentence two: "Weighing label T-01, corresponding to order 1001, specification is 500 grams, actual weighed weight is 480 grams." Sentence three: "Short-weight compensation form C-01, corresponding to order 1001, status is pending review, compensation requested is 20 grams." The draft sentence to be judged is: "The short-weight compensation for order 1001 has been approved and executed."
- The input is the three source sentences above together with the draft sentence. The comparison is between "approved and executed" in the draft sentence and the status field "pending review" for the compensation form in the source material. The observable result is that the draft sentence does not match the source status field. When this condition holds, the finding is unsupported and the evidence gap is retained.
- The input is an identifier query for weighing label T-01. The comparison is whether the retrieved content contains the specification and actual weighed weight fields for that identifier. The observable result is that the returned content contains both fields. When this condition holds, the finding is that the chunk is complete; if either field is missing from the returned content, the finding is that the chunk is incomplete.
- The input is the revised sorting task sheet A-01 and the retrieved content. The comparison is between the two version identifiers. The observable result is that the version identifier returned by retrieval matches the revised material. When this condition holds, the finding is that the index is updated; if the old version identifier is returned, the finding is that the index is not updated and the gap is recorded.