What the documents look like
Store cold-chain receiving centers on transport temperature, arrival batch, and store acceptance. It does not cover origin price inquiry. The working materials are cold-chain temperature records, arrival acceptance sheets, rejection notes, and supplier delivery notes. These come from cold-chain vehicle temperature control, the WMS, the store receiving system, and quality inspection photos. They are produced per batch and per day. Errors here can lead to spoiled ingredients, supplier disputes, and regulatory penalties.
Document parsing and chunking must break this material set into addressable segments so that a temperature range, a batch number, an acceptance conclusion, and a rejection reason can each be located piece by piece. The materials are generated by batch, so the temperature record, acceptance sheet, and delivery note for one batch must still point back to the same batch and the same store after chunking. If chunking separates a temperature condition from its corresponding time window, or separates a rejection reason from the acceptance sheet it constrains, the retrieved fragment loses its basis for judgment. Original data and retrieval indexes are two layers: one data group can map to multiple indexes, and the number of indexes does not represent the number of material copies. After a material change, a successful upload does not mean training and indexing have updated.
Hypothetical drill sample: the source material reads "On March 12, 2026, Store A received supplier B cold-chain vehicle trip C-0312, arrival batch LOT-0312, carriage temperature record range 2 to 6 degrees Celsius; the inspector recorded a sample of three crates, one crate of leafy greens showed wilting, rejection note number R-0312 was filed, and the rejection reason was recorded as failed appearance." The draft sentence to be judged is "This batch was rejected because the temperature exceeded the limit." The comparison takes the same batch LOT-0312, the same date March 12, 2026, and the same rejection note R-0312, and checks whether the values of the temperature record field and the rejection reason field are mutually exclusive. In the sample the temperature range is 2 to 6 degrees Celsius and the rejection reason field is failed appearance. The temperature exceeding the limit stated in the draft sentence has no supporting field in the sample and remains unsupported.
Constraints at the document chunking step
The per-batch generation pattern means chunk boundaries carry business meaning. A temperature record chunk that keeps the range but drops the time window cannot answer which period the range applies to. A rejection note chunk that keeps the reason but drops the acceptance sheet it belongs to cannot show which arrival it constrains. The same batch number, date, and document number must survive chunking so that later comparison can align fields across documents.
Retrieval is not authorization. Search modes, similarity thresholds, and reference limits return candidate content; they do not approve a handover, release a rejection, or write to a database. A pending request is not an approval, an offered option is not an execution, and an unsigned termination is not a completed termination. Forms collect values; business verification, approval, database writes, and external synchronization need their stated downstream implementation.
The documented search parameters set the frame. Semantic retrieval, full-text retrieval, and hybrid retrieval are selectable modes. The reference limit caps the tokens cited per search. The minimum relevance value is a 0 to 1 number effective only in semantic retrieval or when result reranking is used. Question optimization performs coreference resolution and question expansion before retrieval. Result reranking requires a rerank model and being enabled by configuration. The minimum relevance value is a filter threshold, not a final sorting rule; after question optimization, hybrid retrieval, image retrieval, or result reranking, final results may come from multi-path fusion and need not follow a single vector similarity order. Retrieval association across libraries with different vector models cannot be performed jointly; identifiers must be checked first and non-matching libraries excluded.
Configuration and implementation checks
| Configuration or check item | Setting for this page | How to check |
|---|---|---|
| Search mode | Semantic retrieval, full-text retrieval, or hybrid retrieval | Run full-text retrieval on batch number LOT-0312 and semantic retrieval on the rejection reason description, then compare the hit fragments |
| Reference limit | Maximum tokens cited per search | For this hypothetical trial, set a starting value covering the full text of one acceptance sheet, and compare it against the result of checking segment by segment |
| Minimum relevance | A 0 to 1 value effective only in semantic retrieval or result reranking | For this hypothetical trial, set a starting value at the middle of the range, and compare it against manually checked relevant fragments |
| Question optimization | Coreference resolution and question expansion before retrieval | For a follow-up containing "this batch," inspect whether the completed result points back to LOT-0312 |
| Result reranking | Requires a rerank model and being enabled by configuration | When candidates are many, compare rerank scores against manual ordering |
| Post-update review | Training and index state after a material change | After changing a material, run an actual search and observe whether returned fragments are the new content |
The reference limit, minimum relevance, question optimization, and result reranking are configurable fields or implementation check items. They do not constitute authorized execution. Retrieval and forms collect values; business verification, approval, and database writes require downstream implementation.
Three common errors
- Merging a temperature range and a rejection reason into a single conclusion. Input is the temperature record and rejection note for LOT-0312. Compare the two field values. If the draft sentence states a temperature exceeding the limit while the rejection reason field is failed appearance, that sentence is unsupported.
- Treating a retrieval hit as an authorization decision. Input is a handover request for rejection note R-0312. Compare the request status with the approval record. If only a retrieval result exists and no approval record exists, the request is pending verification and cannot be treated as approved.
- Treating a successful upload as an updated index. Input is a changed temperature record. Compare the upload record with the returned retrieval fragment. If the returned fragment is still the old one, the index update state is unknown and the gap must be recorded.
How to verify the setup
- Input the hypothetical sample source text and the draft sentence "This batch was rejected because the temperature exceeded the limit." Compare the temperature record field of 2 to 6 degrees Celsius with the rejection reason field of failed appearance. If the two field values are not mutually exclusive, the draft sentence is judged unsupported.
- Input the handover request for rejection note R-0312. Compare the request status with the approval record. If the approval record is empty, the request is pending verification and does not constitute approval or execution.
- Input the changed temperature record. Compare the upload record with the returned retrieval fragment. If the returned fragment does not match the changed content, record the index update state as unknown and preserve the evidence gap.
An empty result can be checked against downstream design using an explicit paper input of []. No claim is made that a rule-based retrieval must return []. Libraries using different vector models cannot be jointly associated; check identifiers first, exclude non-matching ones, and record actual observations.