What the documents look like
Fresh-food weighing and sorting centers on weight and specification. The main data sources named in the brief are WMS, electronic scales, the order system, and quality-inspection photographs. The documents that feed operating reports and exception reviews are sorting task sheets, weighing labels, short-weight compensation forms, and quality-inspection records. These update per order and per day.
Weight deviation and specification mismatch connect directly to short-shipment compensation, gross-margin loss, and poor customer reviews. A report review therefore has to align the source document text with the retrieved citation content, confirming whether the citation covers the subject, the object, the status, and the valid scope.
Constraints at the retrieval step
The knowledge-base search node can associate one or more knowledge bases that use the same vector model. Citation output is an array and its length can be zero; when nothing is retrieved, the output path still runs.
Semantic retrieval relies on vector distance. Full-text retrieval suits numbers and proper nouns. Hybrid retrieval merges multiple result paths through RRF. ReRank produces a 0-1 score. The minimum relevance value takes effect only under semantic retrieval or when result reordering is used. The citation limit is measured in tokens. Question optimization handles coreference resolution and question expansion. Image retrieval requires image input and model capability. Reordering requires a model and must be enabled by configuration. Retrieval does not carry permission or entity-isolation duties.
Hypothetical exercise sample: the source text reads "Sorting task sheet A-0715 states that 120 boxes of the 500g specification must be completed before 08:00 on 15 July; weighing label T-0715-03 records a single-item net weight of 480g; short-weight compensation form B-0715-02 has status pending review, the stated reason is a customer report of short weight, and no approval signature is present." The draft sentence to be judged is "This batch's short-weight compensation has completed approval and executed a refund."
Configuration and implementation checks
| Configuration item | Hypothetical trial starting point | Reason and comparison method |
|---|---|---|
| Associated knowledge bases | Only the sorting-document base with the same vector model | Check the vector-model identifier of each base, exclude bases with a different model, and do not run a cross-model retrieval comparison |
| Search mode | Hybrid retrieval | Compare how semantic, full-text, and hybrid modes retrieve the sample source text |
| Citation limit | Hypothetical trial starting point of 2000 tokens | Compare citation completeness at 2000 and 3000 tokens, observing whether a status field is omitted |
| Minimum relevance | Hypothetical trial starting point of 0.3 | Label relevant and irrelevant samples first, then compare filtering results at 0.3 and 0.5 |
| Question optimization | Enabled | Compare the original question with the optimized question, checking whether subject and object are altered |
| Result reordering | Enabled | When a reordering model is available, compare candidate ordering before and after enabling |
Three common errors
- Treating a retrieval hit as authorization. In the sample, the short-weight compensation form has status pending review. Retrieval can return the form, but pending review does not show that approval is complete, and it does not show that a refund was executed.
- Associating knowledge bases that use different vector models. The documented condition is to associate knowledge bases with the same vector model. Check identifiers, exclude those that do not match, and record the actual observation rather than inventing a run result.
- Treating minimum relevance as a permission or entity filter. That value takes effect only under semantic retrieval or result reordering, and it filters low-relevance results. It does not exclude unrelated businesses or unauthorized records.
How to verify the setup
- Enter the sample source text and the draft sentence, then compare whether the retrieved citation content includes "pending review" and "no approval signature." Observe whether the citation fully covers the status field, and record the gap when it is missing.
- Enter the sample source text, then compare the retrieval question with question optimization enabled and disabled. Observe whether subject and object stay consistent, and record a failure to meet the condition when the subject is rewritten.
- Enter a clearly labeled paper input of an empty result
[], and check how the downstream design handles empty citations. Observe whether the path runs. Do not claim that a fictional rule retrieval necessarily returns an empty array.
This page addresses only the combination of fresh-food weighing and sorting, operating reports and exception reviews, and knowledge-base retrieval and recall. During an operations handover, the authorization status of materials, operations, and requests cannot be inferred from retrieval or from a form.